Music-based integrated education content production system for infants and toddlers

Abstract

The present invention relates to a system for producing music-based integrated educational content for infants and toddlers, and more specifically, to a system for producing integrated educational content that develops 10 areas in a balanced manner by combining music and play methods developed by music therapy experts according to the developmental stages of children. The system of the present invention includes a music database, an instrument database, a play method database, a developmental stage analysis unit, a content combination engine unit, an area-balanced development algorithm unit, a music genre classification unit, a creativity and expressiveness enhancement unit, and a user interface, and aims to promote the physical, emotional, and cognitive development of children and enhance their creativity and expressiveness. According to the present invention, it has the effect of providing customized educational content suitable for the developmental stages of children. In addition, it has the effect of inducing natural learning through music and play. In addition, it has the effect of promoting balanced development in 10 areas (cognitive, language, physical, social, etc.).

Description

Technology Field

[0001] The present invention relates to a system for producing music-based integrated educational content for infants and toddlers, and more specifically, to a system for producing integrated educational content that develops 10 areas in a balanced manner by combining music and play methods developed by music therapy experts according to the developmental stages of children. The system of the present invention includes a music database, an instrument database, a play method database, a developmental stage analysis unit, a content combination engine unit, an area-balanced development algorithm unit, a music genre classification unit, a creativity and expressiveness enhancement unit, and a user interface, and aims to promote the physical, emotional, and cognitive development of children and enhance their creativity and expressiveness. Background Technology

[0002] Since music can stimulate human emotions in various ways through hearing, its utilization is increasing in diverse fields such as education, marketing, and psychotherapy.

[0003] In the field of education, playing music to infants and toddlers has been found to have positive effects on cognitive abilities, intelligence, and brain development, while in the marketing field, providing music that matches the mood is helping to boost sales in establishments such as cafes and clothing stores.

[0004] In addition, music is actively used during psychotherapy as well.

[0005] To enhance the effectiveness of such music utilization, a method for selecting music suitable for the situation or mood is necessary.

[0006] In music selection, expert recommendation methods and general music search methods can be used; however, since expert recommendation methods incur high costs, research on general music search methods is necessary to select appropriate music.

[0007] Existing general methods for music search are broadly divided into five types (query-by-text, query-by-humming, query-by-part, query-by-example, query-by-class).

[0008] Query-by-text search utilizes bibliographic information (author, song title, genre, etc.) stored in music information databases, employing the same approach as existing text-based information retrieval.

[0009] The query-by-humming method is a technique that finds songs with melodies similar to the input humming.

[0010] The query-by-part method is a technique that finds music containing parts similar to a given portion of music.

[0011] The query-by-example method finds similar songs when a user selects a specific song, and it takes song titles rather than actual music as input to search for the entire song.

[0012] The query-by-class method is a process in which music is classified in advance according to genre or mood, and then selected based on taxonomy.

[0013] Among these, the query-by-class method allows searching for associations between human emotions and music.

[0014] While early query-by-class approaches mostly focused on searching by treating music genres as classes, research on music search methods utilizing mood has recently been underway.

[0015] Here, atmosphere refers to the emotions associated with listening to music, such as 'joyful,' 'calm,' or 'sad.'

[0016] Most studies attempting to automatically determine the mood of music require the intervention of experts or operators for mood determination.

[0017] Manual identification by experts is not an issue when the number of music or songs is small, but it can become problematic in terms of time and cost when dealing with a large volume of music or when a large number of songs are continuously added.

[0018] In the marketing and medical fields, it is known that the effectiveness of music is doubled when appropriate lighting (or color) is added.

[0019] For example, if you want to listen to music with a white theme related to snow during the holiday season, or music reminiscent of orange tones that boost excitement, you can further enhance the effect by providing matching lighting (or colors).

[0020] Published Patent No. 10-2008-0000203 relates to a method for searching for music files using voice recognition, and discloses a technology that constructs a database for voice recognition using various information included in the filename or tag of an MP3 file, and subsequently recognizes an input voice to search for a desired MP3 file.

[0021] Meanwhile, existing early childhood education content related to the present invention has the following problems.

[0022] First, the educational effect is limited due to the simple animation or character-centered composition.

[0023] Second, even if there is content that combines music and play, effective learning is difficult to achieve because it does not consider the developmental stages of children.

[0024] Third, there are limitations in developing children's musical potential due to a lack of content that provides diverse music genres and instrument playing experiences.

[0025] Fourth, there is a lack of an integrated approach that develops the 10 areas in a balanced manner.

[0026] Fifth, content that reflects the expertise of music therapy professionals is rare.

[0027] Sixth, there is a lack of user-friendly systems that parents and educators can easily utilize.

[0028] The system of the present invention is proposed to improve upon the aforementioned problems. Prior art literature

[0029] (Prior Art 1) Korean Patent Publication No. 10-2008-0000203 The problem to be solved

[0030] Therefore, the present invention has been devised to resolve the aforementioned conventional problems,

[0031] The first objective of the present invention is to provide a system for producing integrated educational content that develops 10 areas in a balanced manner by combining various music and play methods developed with the participation of music therapy experts to suit the developmental stages of children.

[0032] The second objective of the present invention is to develop children's musical potential through various music genres and instrument playing experiences.

[0033] The third objective of the present invention is to improve children's creativity and expressiveness.

[0034] The fourth objective of the present invention is to provide a user-friendly system that parents and educators can easily utilize.

[0035] The fifth objective of the present invention is to provide customized educational content suitable for the developmental stages of children.

[0036] The sixth objective of the present invention is to induce natural learning through music and play. means of solving the problem

[0037] In order to achieve the problem that the present invention aims to solve,

[0038] A music-based integrated education content production system (1000) according to one embodiment of the present invention is,

[0039] A music database (100) that stores music developed by music therapy experts;

[0040] An instrument database (200) that stores various instrument information and playing methods;

[0041] A database of play methods that stores play methods (300);

[0042] Developmental stage analysis unit (400) that analyzes the child's age and developmental status to select appropriate educational content;

[0043] A content combination engine unit (500) that combines music, musical instruments, and play methods according to the child's developmental stage;

[0044] Area Balance Development Algorithm Unit (600) for developing areas in a balanced manner;

[0045] A music genre classification unit (700) that classifies, stores, and searches music into various genres;

[0046] Creativity and expression enhancement unit (800) that provides activities to improve children's creativity and expression through music and play;

[0047] The problem of the present invention is solved by being configured to include a user interface (900) that allows parents and educators to easily utilize the content. Effects of the invention

[0048] The music-based integrated education content production system for infants and toddlers according to the present invention provides the following remarkable effects.

[0049] First, it is effective in providing customized educational content tailored to children's developmental stages.

[0050] Second, it has the effect of inducing natural learning through music and play.

[0051] Third, it has the effect of promoting balanced development in 10 areas (cognitive, language, physical, social, etc.).

[0052] Fourth, it is effective in developing children's musical potential through experiences with various music genres and instrument playing.

[0053] Fifth, it has the effect of enhancing creativity and expressiveness.

[0054] Sixth, high educational effectiveness can be expected through content developed by music therapy experts.

[0055] Seventh, it provides a system that parents and educators can easily utilize.

[0056] Eighth, it has the effect of promoting the holistic development of children.

[0057] Ninth, you can expect emotional stability and improved self-confidence through music.

[0058] Tenth, it breaks down the boundaries between play and learning to create an enjoyable educational environment. Brief explanation of the drawing

[0059] FIG. 1 is an overall conceptual block diagram of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 2 is a conceptual block diagram of a music database (100) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 3 is a pie chart showing the distribution of music by genre in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 4 is a conceptual block diagram of an instrument database (200) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 5 is a donut chart showing the distribution by classification of the instrument database of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 6 is a conceptual block diagram of a play method database (300) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 7 is a bar graph showing the number of play methods by target age in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 8 is a bar graph showing the number of play methods by developmental area of ​​a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 9 is a block diagram of a developmental stage analysis unit (400) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 10 is a radar chart showing the development scores by area of ​​a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 11 is a line graph showing the change in average development scores according to age in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 12 is a block diagram of a content combination engine unit (500) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 13 is a graph showing the suitability scores for each combination element of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 14 is a circular graph showing the components of an optimal combination of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 15 is a heatmap showing the distribution of preferred music genres at different developmental stages of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 16 is a line graph showing the time required for each step of the combination generation process of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 17 is a block diagram of the domain balance development algorithm unit (600) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 18 is a radar chart showing the current level of 10 developmental areas of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 19 is a circular graph showing the area-specific weights of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 20 is a multi-line graph showing the change in the developmental level of each area over time in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 21 is a bar graph showing the difference between the target developmental level and the current developmental level of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 22 is a block diagram of a music genre classification unit (700) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 23 is a bar graph showing the genre-specific classification accuracy of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Figure 24 is a heatmap showing the correlation between music characteristics and genres of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 25 is a block diagram of the creativity and expression enhancement unit (800) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 26 is a bar graph showing the level of participation by activity type in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 27 is a line graph showing the change in creativity and expressiveness scores over time in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 28 is a circular graph showing the element-specific weights of the activity recommendation algorithm of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 29 is a heatmap showing the types of activities preferred by age group in a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 30 is a block diagram of a user interface (900) of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 31 is a bar graph showing the frequency of use of each section of the user interface of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. FIG. 32 is an example of a monthly report of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention. Specific details for implementing the invention

[0060] The following description merely illustrates the principles of the present invention. Therefore, those skilled in the art may invent various devices that embody the principles of the present invention and are included within the concept and scope of the present invention, even though they are not explicitly described or illustrated in this specification.

[0061] Furthermore, all conditional terms and embodiments listed in this specification are, in principle, explicitly intended only for the purpose of enabling an understanding of the concept of the invention and should be understood not as being limited to the embodiments and conditions specifically listed as such.

[0062] A music-based integrated education content production system (1000) according to one embodiment of the present invention is,

[0063] A music database (100) that stores music developed by music therapy experts;

[0064] An instrument database (200) that stores various instrument information and playing methods;

[0065] A database of play methods that stores play methods (300);

[0066] Developmental stage analysis unit (400) that analyzes the child's age and developmental status to select appropriate educational content;

[0067] A content combination engine unit (500) that combines music, musical instruments, and play methods according to the child's developmental stage;

[0068] Area Balance Development Algorithm Unit (600) for developing areas in a balanced manner;

[0069] A music genre classification unit (700) that classifies, stores, and searches music into various genres;

[0070] Creativity and expression enhancement unit (800) that provides activities to improve children's creativity and expression through music and play;

[0071] It is characterized by being configured to include a user interface (900) that allows parents and educators to easily utilize the content.

[0072] Hereinafter, an example of a music-based integrated education content production system for infants and toddlers according to the present invention will be described in detail.

[0073] FIG. 1 is an overall conceptual block diagram of a music-based integrated education content production system for infants and toddlers according to an embodiment of the present invention.

[0074] As illustrated in FIG. 1, the music-based integrated education content production system (1000) of the present invention is,

[0075] A music database (100) that stores music developed by music therapy experts;

[0076] An instrument database (200) that stores various instrument information and playing methods;

[0077] A database of play methods that stores play methods (300);

[0078] Developmental stage analysis unit (400) that analyzes the child's age and developmental status to select appropriate educational content;

[0079] A content combination engine unit (500) that combines music, musical instruments, and play methods according to the child's developmental stage;

[0080] Area Balance Development Algorithm Unit (600) for developing areas in a balanced manner;

[0081] A music genre classification unit (700) that classifies, stores, and searches music into various genres;

[0082] Creativity and expression enhancement unit (800) that provides activities to improve children's creativity and expression through music and play;

[0083] It is characterized by being configured to include a user interface (900) that allows parents and educators to easily utilize the content.

[0084] To explain in detail, the above music database (100) stores music developed by music therapy experts.

[0085] In order to perform the above function, as illustrated in FIG. 2, the music database (100) is,

[0086] A music information table (110) including music ID, title, composer, genre, BPM, length, recommended age and development area;

[0087] It is characterized by including a file storage (120) for storing sound source files and sheet music files.

[0088] In particular, the music database is characterized by being implemented using a relational database management system (RDBMS).

[0089] It is characterized by including the music ID, title, composer, genre, BPM, length, recommended age, and developmental area described in the above music information table (110) and file storage (120).

[0090] That is, music ID is a unique identifier for each piece of music, title is the title of the music, composer is the name of the professional who composed the music, genre is the genre of music such as classical, jazz, or folk songs, BPM (Beats Per Minute) is a numerical value indicating the tempo of the music, length is the playback time of the music (in seconds), audio file is the storage path of the actual music file, sheet music is the path of the music sheet file (in PDF format), recommended age is the age range of the child for whom the music is suitable, and developmental area is the developmental area that the music primarily helps with (e.g., language, cognitive, motor, etc.).

[0091] In addition, the data capacity occupies an average of 10MB per song, and the initial database will have a total capacity of 10GB, including 1000 songs.

[0092] In addition, a search function can be provided, allowing searching based on various criteria such as title, composer, genre, BPM range, recommended age, and developmental area.

[0093] In addition, as a music recommendation algorithm, it is characterized by including an algorithm that recommends music suitable for a child based on their age and developmental stage, and the said algorithm uses the following formula.

[0094] Recommendation Score = w1 * Age Fit + w2 * Developmental Domain Fit + w3 * BPM Fit

[0095] Here, w1, w2, and w3 represent their respective weights, and the total sum is 1.

[0096] In addition, Figure 3 shows a pie chart of music distribution by genre, and the contents of the graph are as follows.

[0097] 1) Classical music accounts for the largest share at 30%.

[0098] 2) Jazz accounts for the second largest share at 25%.

[0099] 3) Folk songs account for 20%.

[0100] 4) Pop music accounts for 15%.

[0101] 5) Other genres account for 10%.

[0102] The graph above shows that the music database includes music of various genres, with a particular focus on classical and jazz music; this can be interpreted as reflecting research findings that these two genres are particularly effective for the cognitive development and enhancement of musical sensitivity in infants and toddlers.

[0103] And, the instrument database (200) performs the function of storing various instrument information and playing methods.

[0104] In order to perform the above function, as illustrated in FIG. 4, the instrument database (200) is,

[0105] Instrument information (210) including instrument ID, instrument name, classification, difficulty level, recommended age, playing method and development area; and

[0106] It is characterized by including a file storage (220) that stores instrument image files and sound source sample files.

[0107] In addition, the above instrument database is implemented using a NoSQL database.

[0108] At this time, the above instrument information includes: an instrument ID as a unique identifier for each instrument, an instrument name as the name of the instrument, a classification as a classification of the instrument such as percussion, string, or wind instruments, a difficulty level expressed in 1 to 5 stages, a recommended age as the age range of a child suitable for playing the instrument, a description of the method of playing the instrument, a developmental area as a developmental area that is aided by playing the instrument (e.g., fine motor development, auditory development, etc.), an image as the path to the image file of the instrument, and a sound sample as the path to the sound file of the instrument sound.

[0109] In addition, the data capacity occupies an average of 50MB per instrument, and the initial database has a total capacity of 5GB, including 100 instruments.

[0110] In addition, as a search function, it is characterized by the ability to search based on various criteria such as instrument name, category, difficulty level, recommended age, and developmental area.

[0111] In addition, the instrument recommendation algorithm includes an algorithm that recommends a suitable instrument based on the child's age and developmental stage, and the algorithm uses the following formula.

[0112] Recommendation Score = w1 * Age Suitability + w2 * Difficulty Suitability + w3 * Developmental Domain Suitability

[0113] Here, w1, w2, and w3 represent their respective weights, and the total sum is 1.

[0114] In addition, Figure 5 is a donut chart showing the distribution by classification of the instrument database, and the contents of the graph are as follows.

[0115] 1) Percussion instruments account for the largest share at 35%.

[0116] 2) String instruments account for the second largest share at 30%.

[0117] 3) Wind instruments account for 20%.

[0118] 4) Electronic instruments account for 10%.

[0119] 5) Other instruments account for 5%.

[0120] The graph above shows that the instrument database includes various classifications of instruments, with a particular focus on percussion and string instruments.

[0121] This reflects research findings that these two categories of instruments are particularly effective for the development of fine motor skills and hearing in infants and toddlers.

[0122] And, the above-mentioned play method database (300) performs the function of storing play methods.

[0123] In order to perform the above function, as shown in FIG. 6, the play method database (300) is,

[0124] Play information (310) including a play method ID, play name, target age, difficulty level, time required, materials, play method, developmental area, list of related music IDs and list of related instrument IDs;

[0125] An image storage (320) that stores an image file explaining how to play; and

[0126] It is characterized by being configured to include a video storage (330) that stores a video file explaining how to play.

[0127] To explain in detail, the above-mentioned play method database is implemented using a document-based NoSQL database.

[0128] At this time, as stored information, the play method ID is a unique identifier for each play method, the play name is the name of the play, the target age is the age range of the child for whom the play is suitable (e.g., 12 to 18 months), the difficulty level is the difficulty level of the play expressed in 1 to 5 stages, the time required is the estimated time required for the play (in minutes), the supplies are a list of supplies required for the play, the play method is a description of the play progress method for each stage, the developmental area is the developmental area that the play helps with (e.g., gross motor development, language development, etc.), the related music is a list of IDs of music that can be used with the play, the related instrument is a list of IDs of instruments that can be used with the play, and the image / video is the path of an image or video file explaining the play method.

[0129] In addition, the data capacity occupies an average of 2MB per game method, and the initial database has a total capacity of 1GB, including 500 games.

[0130] In addition, the search function allows you to search based on various criteria such as play name, target age, difficulty level, developmental area, and duration.

[0131] In addition, as a play method recommendation algorithm, it includes an algorithm that recommends suitable play methods based on the child's age, developmental stage, and preferences, and the said algorithm uses the following formula.

[0132] Recommendation Score = w1 * Age Suitability + w2 * Difficulty Suitability + w3 * Developmental Domain Suitability + w4 * Preference Score

[0133] Here, w1, w2, w3, and w4 represent their respective weights, and the total sum is 1.

[0134] In addition, Figure 7 is a bar graph showing the number of play methods by target age group, where the x-axis represents age groups by month (from 0 to 6 months to 48 to 60 months) and the y-axis represents the number of play methods corresponding to each age group. The 24 to 36-month group has the most play methods with 120, while the 0 to 6-month group has the fewest with 30. Overall, the number of play methods tends to increase as age increases, then decrease again after 36 months.

[0135] Meanwhile, Figure 8 is a bar graph showing the number of play methods by developmental area, where the x-axis represents six major developmental areas (physical, cognitive, language, social, emotional, and creative), and the y-axis represents the number of play methods corresponding to each developmental area, with the physical developmental area having the most play methods at 150.

[0136] In addition, it has the fewest play methods with 60 creativity areas.

[0137] At this time, there is a general tendency for the number of play methods in the areas of physical, cognitive, and language development to be high, while the number of play methods in the areas of social, emotional, and creativity tends to be relatively low.

[0138] And, the above developmental stage analysis unit (400) performs the function of analyzing the child's age and developmental status and selecting appropriate educational content.

[0139] In order to perform the above function, as illustrated in FIG. 9, the developmental stage analysis unit (400) is,

[0140] Input receiving module (410) for receiving input data including the child's age, developmental status checklist, and previous learning records;

[0141] Basic stage setting module (420) for setting age-based basic development stages based on the above input data;

[0142] A checklist analysis module (430) for analyzing the above checklist;

[0143] A learning record analysis module (440) for analyzing the above previous learning records;

[0144] A developmental stage determination module (450) for determining the developmental stage by synthesizing the above basic developmental stage, checklist analysis results, and learning record analysis results;

[0145] A score calculation module (460) for calculating development scores for each domain including physical development, cognitive development, language development, social development, and emotional development;

[0146] A content selection module (470) for selecting recommended educational content based on the above developmental stages and development scores by domain;

[0147] It is characterized by being configured to include a result output module (480) for outputting results including the above-mentioned developmental stage, development scores by area, and recommended educational content.

[0148] To explain in detail, the input receiving module (410) receives the child's age (in months), a checklist of the child's developmental status entered by a parent or educator, previous learning records, etc.

[0149] The above basic stage setting module (420) sets an age-based basic development stage based on input data.

[0150] For example, developmental standards corresponding to a specific age group are established, and based on this, the child's basic developmental stage is determined; this establishment serves as a reference point for subsequent analysis.

[0151] The above checklist analysis module (430) is for analyzing the above checklist.

[0152] For example, it involves analyzing checklist items entered by parents (e.g., how well the child walks, level of language development, etc.) to score the developmental status in each area, such as physical, language, cognitive, and social skills.

[0153] The above learning record analysis module (440) is for analyzing the above previous learning record.

[0154] For example, it involves evaluating the content the child previously learned and their reactions or performance to identify which learning elements were effective.

[0155] The results of this analysis will be reflected in determining the current developmental stage and recommending educational content.

[0156] The above developmental stage determination module (450) is intended to determine the developmental stage by synthesizing the above basic developmental stage, checklist analysis results, and learning record analysis results.

[0157] For example, physical development, cognitive development, language development, social development, and emotional development can be evaluated on a scale of 1 to 5 points for each area.

[0158] For a specific example, in the case of the age-based developmental stage set in the basic stage setting module (420), a 24-month-old child is basically classified as being in the 'physical development in progress' stage.

[0159] In addition, as a result of the checklist analysis module (430), the "language development" in the checklist entered by the parents is found to be higher than the peer average.

[0160] In addition, as a result of the learning record analysis module (440), high participation and positive responses are confirmed in the "social development" related content from the previously conducted learning activities.

[0161] As a result of synthesizing the above information, it is finally determined, for example, that the child is 'in the physical development stage, has excellent language development, and requires additional stimulation for social development.'

[0162] The above score calculation module (460) is for calculating development scores for each domain, including physical development, cognitive development, language development, social development, and emotional development, and is as follows:

[0163] Development Score = Σ(domain weight * domain score) / Σ(domain weight)

[0164] For example, Physical(0.2) * 4 + Cognitive(0.25) * 3 + Language(0.25) * 3 + Social(0.15) * 4 + Emotional(0.15) * 5

[0165] = (0.2 * 4 + 0.25 * 3 + 0.25 * 3 + 0.15 * 4 + 0.15 * 5) / 1 = 3.65

[0166] The above content selection module (470) is intended to select recommended educational content based on developmental stages and development scores by domain.

[0167] That is, as recommended content, in the case of music, fast-paced and energetic music (promoting physical development) is recommended.

[0168] As for play methods, I recommend those that include language play and social skills enhancement play.

[0169] In addition, as a recommendation algorithm, it filters content suitable for a development score of 3.5 and recommends play methods that prioritize physical development among content suitable for the current developmental stage.

[0170] The above result output module (480) is intended to output results including developmental stage, developmental score by area, and recommended educational content.

[0171] For example, in the case of a developmental status summary, it can be summarized as follows: "The child is currently 'physically developing,' has excellent 'language development,' and is slightly lacking in 'social development.'"

[0172] In addition, as recommended content, 'gymnastics play set to exciting music and rhythms' is recommended for physical development, 'songs linked to word card games' for language development, and 'role-playing with other children' for social development.

[0173] The above results are provided in the form of an app screen or a printed report so that parents can execute them immediately.

[0174] In addition, Figure 10 is a radar chart showing development scores by area, with five development areas (physical, cognitive, language, social, and emotional) representing each axis of the chart, and the development scores of each area are displayed on a scale from 1 to 5.

[0175] In addition, physical development is rated 4 points, cognitive development 3 points, language development 3 points, social development 4 points, and emotional development 5 points, and the shape of the chart allows one to identify at a glance which areas of the child's development show strengths.

[0176] Through the method described above, all elements of the graph are clearly visible and the information can be easily understood. Additionally, the radar chart allows for a quick comparison of the child's scores across different developmental areas, making it easy to identify which areas show strengths and which require additional support.

[0177] Meanwhile, Figure 11 is a line graph showing the change in average development scores according to age, where the x-axis represents the child's age in months (from 6 months to 60 months) and the y-axis represents the average score of each developmental area (on a scale from 1 to 5 points).

[0178] At this time, changes in scores for the five developmental domains (physical, cognitive, language, social, and emotional) were indicated with different colors and markers, and scores in all developmental domains showed a tendency to increase with age. Physical development showed the highest overall score, while language development showed a relatively lower score.

[0179] The purpose is to provide the graph mentioned above in the form of an app screen or a printed report so that parents can execute it immediately.

[0180] And, the above content combination engine unit (500) performs the function of combining music, musical instruments, and play methods according to the child's developmental stage.

[0181] In order to perform the above function, as illustrated in FIG. 12, the content combination engine unit (500) is,

[0182] Development information input module (510) for receiving information on the child's developmental stage;

[0183] A music selection module (520) that selects suitable music from a music database based on the above developmental stage information;

[0184] An instrument selection module (530) that selects an instrument matching the selected music from an instrument database;

[0185] A play method selection module (540) that selects a play method suitable for the above-mentioned selected music and selected instrument from a play method database;

[0186] A combination generation module (550) that combines the above-mentioned selected music, selected instrument, and selected play method;

[0187] A fitness evaluation module (560) that evaluates the fitness of the generated combination;

[0188] An optimal combination selection module (570) that selects the optimal combination based on the evaluated suitability;

[0189] It is characterized by being configured to include a result output module (580) that outputs the selected optimal combination.

[0190] To explain in detail, the development information input module (510) receives information about the child's developmental stage.

[0191] For example, the system collects the child's current developmental status (age, physical development level, language development level, etc.) from parents or educators, or automatically receives the results analyzed by the developmental stage analysis unit (400), and this developmental information becomes an important criterion for combining music, instruments, and play methods thereafter.

[0192] The above music selection module (520) selects suitable music from a music database based on the above developmental stage information.

[0193] At this time, the selection criteria are characterized by including the tempo (BPM) of the music, genre, recommended age range, developmental area, etc. For example, classical music with a fast tempo (140 BPM) can be selected to match physical development, and this music is suitable for the age group of 24 to 36 months and is effective in promoting physical activity.

[0194] The above instrument selection module (530) selects an instrument that matches the selected music from the instrument database.

[0195] In this case, the criteria for selecting the instrument are characterized by including harmony with music, difficulty level suitable for the child's developmental stage, and developmental areas (e.g., fine motor development, auditory development).

[0196] For example, a percussion instrument suitable for fast-tempo classical music (e.g., a snare drum) is selected, and this instrument can help with physical development and fine motor development.

[0197] The above-mentioned play method selection module (540) selects a play method suitable for the above-mentioned selected music and selected instrument from the play method database.

[0198] The above play methods are selected to suit the child's developmental stage and take into account the harmony between music and instruments.

[0199] For example, a 'play method of moving the body to the rhythm' using fast-tempo classical music and a snare drum is selected, and this play method will be suitable for strengthening physical development and developing a child's sense of rhythm.

[0200] The above combination generation module (550) combines the selected music, selected instrument, and selected play method.

[0201] At this time, the combination algorithm is as follows.

[0202] Fitness Score = w1 * Music Fitness + w2 * Instrument Fitness + w3 * Play Method Fitness

[0203] Here, w1, w2, and w3 are weights, and are set so that their sum is 1.

[0204] For example, in the case of 0.4 * Music Suitability + 0.3 * Instrument Suitability + 0.3 * Play Method Suitability, if Music Suitability: 0.8, Instrument Suitability: 0.7, and Play Method Suitability: 0.9,

[0205] The final fit scores are as follows.

[0206] 0.4 * 0.8 + 0.3 * 0.7 + 0.3 * 0.9 = 0.81

[0207] The above suitability evaluation module (560) evaluates the suitability of the generated combination.

[0208] That is, the suitability of each combination is evaluated based on the score calculated by the combination generation module (550), and the evaluation criteria may include suitability of the developmental stage, balance of developmental areas, and the child's preference.

[0209] For example, to enhance physical development, the suitability of the combined play method, instrument, and music is evaluated as 0.81.

[0210] The above optimal combination selection module (570) selects the optimal combination based on the evaluated suitability.

[0211] If there are multiple combinations, the combination with the highest fitness score is selected.

[0212] For example, among several combinations, the combination that receives a final fitness score of 0.81 is selected as the optimal combination.

[0213] The above result output module (580) outputs the selected optimal combination.

[0214] The above module outputs the selected optimal combination so that parents or educators can easily utilize it. The output result is provided through a user interface and includes music playback, instrument selection, and play method guidelines.

[0215] For example, 'a game of moving the body to the rhythm using fast-tempo classical music and a snare drum' can be selected as the optimal combination, and this information is provided on the app screen or in a printed instruction manual so that parents can implement it immediately.

[0216] In addition, Figure 13 is a graph showing the suitability scores for each combination element, where the x-axis represents five content combinations and the y-axis represents the suitability score of each element (music, instrument, play method) on a scale from 0 to 1.

[0217] At this time, the suitability scores for music, instruments, and play methods for each combination were displayed using bars of different colors so that parents could easily recognize them.

[0218] In other words, through the bar graph, you can compare the suitability scores of each content combination at a glance and easily identify which combination has a high overall suitability.

[0219] In addition, Figure 14 is a circular graph showing the components of the optimal combination, Figure 15 is a heatmap showing the distribution of preferred music genres at each stage of development, and Figure 16 is a line graph showing the time required for each stage of the combination generation process.

[0220] The above pie chart shows the proportions of the components of the optimal combination (music, instruments, and play methods), with music accounting for the largest proportion at 40%, and instruments and play methods each accounting for 30%.

[0221] The heatmap above shows the distribution of preferred music genres by developmental stage, where darker colors indicate greater preference.

[0222] For example, babies aged 0 to 6 months tend to prefer classical music the most, while children aged 48 to 60 months tend to prefer pop music.

[0223] The line graph above shows the time required for each step of the combination generation process, with the 'Combination Generation' step taking the longest time at 1.5 seconds and the 'Output' step taking the shortest time at 0.3 seconds.

[0224] And, the region balanced development algorithm unit (600) performs the function of developing the region in a balanced manner.

[0225] In order to perform the above function, as illustrated in FIG. 17, the region balance development algorithm unit (600) is,

[0226] A developmental level assessment module (610) that evaluates the current level of 10 developmental areas including physical motor development, language development, cognitive development, social development, emotional development, creativity development, sensory development, musical development, logical-mathematical development, and nature exploration development;

[0227] A goal setting module (620) for setting target development levels for the above 10 development areas;

[0228] A weight calculation module (630) that calculates weights according to the importance of each development area;

[0229] A content recommendation generation module (640) that recommends and generates appropriate educational content based on the above current development level, target development level, and area-specific weights;

[0230] A feedback analysis module (650) that collects and analyzes user feedback after using educational content;

[0231] It is characterized by being configured to include an algorithm adjustment module (660) that adjusts the algorithm based on the above feedback analysis results.

[0232] To explain in detail, the terms explained in the development level assessment module (610) are as follows.

[0233] First, physical motor development refers to the development of a child's gross and fine motor skills. This includes gross motor activities such as walking, running, and jumping, as well as fine motor activities such as finger manipulation and tool use, and evaluates physical motor skills appropriate for the child's age.

[0234] For example, the child's ability to walk or run on their own, the ability to throw and catch a ball, and fine motor skills of the hands and fingers will be evaluated.

[0235] Second, language development refers to a child's ability to understand and express speech, and includes abilities such as speaking, listening, reading, and writing, and evaluates how well the child uses and understands language.

[0236] For example, it evaluates whether the child can construct sentences using various words, answer simple questions, and understand and repeat a story.

[0237] Third, cognitive development refers to a child's ability to process information and solve problems, and includes memory, concentration, logical thinking, and problem-solving skills, and evaluates how the child understands and judges the world.

[0238] For example, abilities such as puzzle solving, shape recognition, and understanding basic cause and effect will be evaluated.

[0239] Fourth, social development refers to a child's ability to interact with others, understand social rules, and form relationships, and includes cooperation, consideration for others, and understanding social norms.

[0240] For example, it evaluates whether the child gets along well with friends, waits their turn, and plays cooperatively.

[0241] Fifth, emotional development refers to a child's ability to recognize, express, and regulate their own emotions, and includes emotional recognition, self-expression, and stress management skills.

[0242] For example, it evaluates whether the child expresses their emotions correctly and how they react in frustrating situations.

[0243] Sixth, creativity development refers to a child's ability to think originally, generate new ideas, and solve problems in various ways, and includes artistic activities, free play, and imagination.

[0244] For example, the child's ability to draw, create stories, and come up with new ways to play will be evaluated.

[0245] Seventh, sensory development refers to a child's ability to explore and understand the world through their senses (sight, hearing, touch, taste, and smell), and includes responses to sensory stimuli and learning through sensory experiences.

[0246] For example, it evaluates how the child responds to various textures, sounds, tastes, and smells.

[0247] Eighth, musical development refers to a child's ability to understand, express, and enjoy music, and includes a sense of rhythm, pitch discrimination, and instrument playing.

[0248] For example, it evaluates whether the child can move to the rhythm or sing along to a simple melody.

[0249] Ninth, Logical-Mathematical Development refers to a child's ability to think logically, understand mathematical concepts, and solve problems, and includes number recognition, shape discrimination, and pattern recognition.

[0250] For example, the child's ability to solve mathematical problems, such as counting numbers, simple addition and subtraction, and matching shapes, will be evaluated.

[0251] Tenth, Naturalistic Development refers to a child's ability to understand and explore nature and to take an interest in the environment, and includes understanding plants and animals and observing natural phenomena.

[0252] For example, it evaluates a child's ability to distinguish between animals and plants, and to take an interest in the weather or seasonal changes.

[0253] In summary, by comprehensively evaluating 10 developmental areas, it is possible to determine which areas a child has strengths in and which areas require additional support, and this evaluation plays an important role in recommending customized educational content.

[0254] In addition, an example of a development level assessment module (610) is as follows.

[0255] 1) Physical and motor development: Average level (3 / 5)

[0256] 2) Language Development: Excellent (4 / 5)

[0257] 3) Social development: Low (2 / 5)

[0258] 4) Creativity Development: Average Level (3 / 5)

[0259] The above goal setting module (620) is to set the goal development level for 10 development areas.

[0260] This goal can be set directly by parents or educators, or the system can automatically suggest it based on the child's developmental stage.

[0261] In addition, an example of the goal setting module (620) is as follows.

[0262] 1) Physical and Motor Development: Set goal to 4 / 5

[0263] 2) Language Development: Set goal to 5 / 5

[0264] 3) Social Development: Set goal to 4 / 5

[0265] 4) Development of Creativity: Set goal at 4 / 5

[0266] The above weight calculation module (630) calculates weights according to the importance of each development area.

[0267] In this case, importance is set based on the child's current developmental stage and the parents' priorities, different weights are assigned to each developmental area, and these weights are used to determine priority when recommending content.

[0268] In addition, an example of the weight calculation module (630) is as follows.

[0269] 1) Physical Motor Development: 0.25

[0270] 2) Language development: 0.20

[0271] 3) Social development: 0.25

[0272] 4) Creativity Development: 0.15

[0273] 5) Other Areas: 0.15

[0274] The above content recommendation generation module (640) recommends and generates appropriate educational content based on the current development level, target development level, and area-specific weights.

[0275] At this time, content designed to fill deficiencies in specific developmental areas or to reach target levels is recommended first.

[0276] In addition, an example of a content recommendation generation module (640) is as follows.

[0277] 1) Physical Motor Development: Recommendation of exercise-related play methods and music

[0278] 2) Social Development: Cooperative Play Methods, Group Activity Content Recommendations

[0279] 3) Development of Creativity: Recommendations for art activities and music to promote artistic expression

[0280] The above feedback analysis module (650) collects and analyzes user feedback after using educational content.

[0281] In this case, the feedback is characterized by including the child's reactions, developmental changes, and the effects of the content, and the results of this analysis are used to adjust the algorithm later.

[0282] In addition, for example, the feedback analysis module (650) can receive an evaluation that it "had a positive effect on social development" from the feedback provided by the parents, and through the feedback, it is possible to identify which parts the child particularly liked or struggled with.

[0283] The above algorithm adjustment module (660) adjusts the algorithm based on the results of the feedback analysis.

[0284] The aforementioned adjusted algorithm is reflected in subsequent content recommendations to provide more personalized and effective educational content.

[0285] For example, since the child showed significant results in feedback regarding physical and motor development content, the weight given to such content will be slightly reduced in the future, and the recommendation ratio for developmental content in other areas will be increased.

[0286] In summary, it is to continuously provide customized educational content that can develop a child's various developmental areas in a balanced way.

[0287] In addition, the formula for calculating the balance score described in the present invention is as follows.

[0288] Balance Score = Σ(Area Weight * Area Development Score) / Σ(Area Weight)

[0289] For example, (0.15*4 + 0.12*3 + 0.13*4 + 0.10*3 + 0.10*4 + 0.08*3 + 0.08*4 + 0.09*3 + 0.08*3 + 0.07*4) / 1 = 3.55.

[0290] In addition, the content recommendation logic described in the present invention is as follows.

[0291] 1) Assign priority to the area with the lowest current score

[0292] 2) Content selection considering the balance of the top 3 areas

[0293] 3) Includes a random element to ensure diversity (10% probability)

[0294] In addition, Figure 18 is a radar chart showing the current level of 10 development zones, where the 10 development zones represent each axis of the chart, and the current development level of each zone is displayed on a scale from 1 to 5.

[0295] At this time, the physical, motor, cognitive, emotional, sensory, and natural inquiry domains show the highest level with 4 points, while the language, social, creative, musical, and logical-mathematical domains show a relatively low level with 3 points.

[0296] The aforementioned method ensures that all elements of the graph are clearly visible and the information is easy to understand. Through this radar chart, the current level of each developmental area can be compared at a glance, and it is easy to identify which areas show strengths and which require further development.

[0297] The above results are provided in the form of an app screen or a printed report so that parents can execute them immediately.

[0298] In addition, Figure 19 is a circular graph showing weights by region, Figure 20 is a multi-line graph showing changes in the development level of each region over time, and Figure 21 is a bar graph showing the difference between the target development level and the current development level.

[0299] Specifically, the pie chart shows the weights of each developmental area, with the physical activity area having the highest weight at 15% and the natural exploration area having the lowest weight at 7%.

[0300] In addition, the multi-line graph shows the level change of each developmental area over 5 weeks, and all areas show a trend of improvement over time, with the development of physical movement and cognitive areas being particularly prominent.

[0301] In addition, the bar graph compares the current development level with the target development level; in all areas, the target level is higher than the current level, and the numbers above each bar indicate the degree of improvement required to achieve the goal.

[0302] And, the above music genre classification unit (700) classifies music into various genres, stores it, and searches for it.

[0303] In order to perform the above function, as illustrated in FIG. 22, the music genre classification unit (700) is,

[0304] A feature extraction module (710) for extracting acoustic characteristics of an input music file;

[0305] A machine learning-based genre prediction module (720) that predicts the genre based on extracted acoustic characteristics;

[0306] A metadata generation module (730) that generates metadata including predicted genre information;

[0307] A data storage module (740) that stores the generated metadata and music files in a database;

[0308] It is characterized by being configured to include a search index update module (750) that updates an index for searching for stored music files.

[0309] Specifically, the feature extraction module (710) performs the role of extracting acoustic characteristics of an input music file, and the acoustic characteristics include pitch, tempo, rhythm, melody, timbre, harmonics, frequency spectrum, etc.

[0310] The above characteristics are calculated based on data analyzed from music files and are subsequently used as input data for genre prediction.

[0311] For example, in the case of pitch, the main pitch of the music is extracted through frequency analysis, in the case of tempo, the tempo is determined by calculating the beats per minute (BPM), and in the case of timbre, frequency analysis is performed to distinguish the timbre of instruments and vocals.

[0312] The machine learning-based genre prediction module (720) predicts a genre based on extracted acoustic characteristics, and classifies the genre of an input music file according to a learned dataset by utilizing a machine learning algorithm (e.g., support vector machine, neural network, random forest), and this module can recognize and predict various genres through a large amount of training data.

[0313] For example, in the case of genre prediction, the characteristics of the input music file are analyzed to predict genres such as 'classical', 'jazz', and 'pop', whereas in the case of algorithm utilization, a neural network model is used to comprehensively analyze various characteristics to predict the genre with high accuracy.

[0314] The above metadata generation module (730) generates metadata including predicted genre information, characterized in that the metadata includes the title of the music, composer, genre, BPM, length, and genre prediction result.

[0315] The above metadata is stored in a database along with the music files and is subsequently used for searching and management.

[0316] For example, the generated metadata will be Title: "Nocturne in E-flat Major", Composer: "Frédéric Chopin", Genre: "Classical", BPM: 100, Length: 4:30.

[0317] The above data storage module (740) stores generated metadata and music files in a database, and the stored data is utilized in search and recommendation systems and is stored in a structured manner for efficient searching.

[0318] In this case, the database stores not only music files but also metadata, allowing data to be searched according to various search criteria.

[0319] An example of saving is as follows.

[0320] 1) File path: / music / classical / chopin_nocturne_eb_major.mp3

[0321] 2) Metadata: Includes the metadata generated above

[0322] The above search index update module (750) updates the index for searching for stored music files, and updates the search index based on music files and metadata newly stored in the database.

[0323] The above index is characterized by supporting users to quickly search for music based on specific genres or criteria, and the index supports text-based search, genre-based search, BPM-based search, etc.

[0324] Examples of index items are as follows.

[0325] 1) Genre: 'Classical', 'Jazz'

[0326] 2) BPM: 90 ~ 110

[0327] 3) Composer: Chopin

[0328] 4) Length: 4 ~ 5 minutes

[0329] As described above, each module cooperates to analyze the acoustic characteristics of an input music file, predicts the genre based on this, and enables storage and retrieval in a database, and the system of the present invention enables users to easily search for and utilize music suitable for them.

[0330] In addition, the genre classification method of the present invention is characterized by the following.

[0331] 1) Analysis of acoustic characteristics: Analyzed tempo, rhythm, harmonic structure, melody patterns, etc.

[0332] 2) Use of machine learning model: Predict genre using a pre-trained classification model.

[0333] 3) Utilization of metadata: Utilizes existing metadata information as a supplement.

[0334] In addition, the method for improving accuracy is characterized by the following.

[0335] 1) Periodic model updates

[0336] 2) Introduction of an expert verification system

[0337] 3) Incorporating user feedback

[0338] In addition, Figure 23 is a bar graph representing classification accuracy by genre, where the x-axis represents 10 music genres and the y-axis represents the classification accuracy of each genre on a scale from 0 to 1.

[0339] At this time, classical music shows the highest classification accuracy at 0.95, and folk music shows the lowest classification accuracy at 0.83.

[0340] Through the above method, all elements of the graph are clearly visible and information can be easily understood; the bar graph allows for a quick comparison of the classification accuracy of each music genre and makes it easy to identify which genre is classified more accurately.

[0341] The above results are provided in the form of an app screen or a printed report so that parents can execute them immediately.

[0342] In addition, Figure 24 is a heatmap showing the correlation between music characteristics and genres, where the y-axis represents five music characteristics (tempo, rhythmic complexity, harmonic complexity, melody range, instrumentation) and the x-axis represents six music genres (classical, jazz, pop, rock, hip-hop, electronic).

[0343] The color and number of each cell above represent the strength of the correlation between the corresponding characteristic and genre, and values ​​closer to 1 indicate a strong positive correlation, while values ​​closer to 0 indicate a weak correlation.

[0344] In addition, the creativity and expression enhancement unit (800) is characterized by providing activities that enhance children's creativity and expression through music and play.

[0345] In order to perform the above function, as illustrated in FIG. 25, the creativity and expression enhancement unit (800) is,

[0346] An activity database (810) that stores various creative activities including improvisation, music creation, music drawing, music storytelling, and physical expression;

[0347] A personalized recommendation engine (820) that recommends personalized activities based on the child's interest and developmental level;

[0348] An activity generator (830) that generates specific activity content based on recommended activities;

[0349] A user interface (840) that presents the generated activity to the child;

[0350] A progress monitoring module (850) that records the child's activity performance process;

[0351] It is characterized by being configured to include a feedback analysis module (860) that analyzes activity results and evaluations by parents and educators.

[0352] Specifically, in the activity database (810), the activities are designed to stimulate the child's creativity and expressiveness, and each activity is characterized by including detailed information regarding age, developmental stage, necessary tools, and the goal of the activity.

[0353] For example, improvisation involves encouraging a child to freely play an instrument and express their emotions; music composition involves creating a simple melody and playing it on an instrument; and music drawing involves expressing scenes or feelings evoked by the music through drawings while listening to it.

[0354] The above-mentioned personalized recommendation engine (820) recommends personalized activities by taking into account the child's interest and developmental level. It automatically selects the most suitable activity by analyzing the child's past activity history, current developmental status, and preference data, thereby presenting the most effective activity to the child.

[0355] For example, in the case of recommended activities, a music drawing activity is recommended to a child who has recently shown interest in drawing.

[0356] The recommendation criteria are determined based on the child's current creativity development score and responses to previous activities.

[0357] The above activity generator (830) generates specific activity content based on recommended activities and is characterized by clearly defining the child's developmental stage, necessary tools, method of activity progress, and goals, thereby providing activity guidelines so that parents or educators can easily execute them.

[0358] For example, in the case of creating activity instructions, it provides information such as, "Improvise with the child using the selected instrument and move your body to the music. Try various rhythms and melodies to develop your expressiveness."

[0359] The above user interface (840) presents the generated activity to the child, guides the activity in a way that is easy for parents or educators to understand, and provides tools or materials necessary while performing the activity.

[0360] In addition, the user interface is characterized by visually displaying the progress of an activity and providing guidance messages during the activity if necessary.

[0361] For example, it would be: "Start the music drawing activity now! Materials: Colored pencils, paper. Draw the images that come to mind while listening to the music."

[0362] At this time, the above result is provided in the form of an app screen or a printed report so that parents can execute it immediately.

[0363] The above progress monitoring module (850) records the child's activity performance process, monitors the activity time, the child's level of participation, and reactions during the activity, and stores this data, and is characterized by the fact that this record is used for subsequent evaluation and feedback analysis.

[0364] For example, the monitoring items provide information such as how much the child focused on the activity, how often the activity was interrupted, and the percentage of completed activities.

[0365] The above feedback analysis module (860) analyzes activity results and evaluations by parents and educators, collects feedback on activity results, analyzes it, and reflects it in subsequent activity recommendations and algorithm adjustments, and this feedback continuously supports the improvement of the child's creativity and expressiveness.

[0366] For example, the analysis items include 'child's interest level: high', 'activity completion rate: 100%', and 'emotional state after activity: enjoyment', and this information is used to plan the next activity.

[0367] To explain the above feedback analysis module (860) in more detail, it collects and analyzes evaluations by parents and educators and the child's reactions to the activity results, and performs the role of reflecting them in recommendations for the next activity and algorithm adjustments.

[0368] To provide the above function, the feedback analysis module (860) is,

[0369] A feedback collection module for collecting information on the child's interest, activity completion, responsiveness during the activity, and parent and educator evaluations from parents or educators after the activity is completed;

[0370] A feedback analysis module for evaluating a child's activity performance by analyzing collected data;

[0371] Algorithm adjustment and activity recommendation module for adjusting the algorithm and recommending the next activity based on analysis results;

[0372] It is characterized by further comprising a long-term feedback reflection module that analyzes accumulated feedback to identify long-term developmental trends of the child and areas requiring continuous improvement, and provides a personalized learning path according to the child's development.

[0373] Below, we will explain in more detail based on example scenarios.

[0374] 1) Example Scenario

[0375] (1) Activity: Drawing music pictures

[0376] (2) Goal: To draw creative pictures while listening to music

[0377] (3) Developmental Areas: Creativity development, sensory development, expression improvement

[0378] 2) Collection of Feedback: After the activity is completed, the following feedback is collected from parents or educators.

[0379] (1) Child's interest: How much interest did the child show in the activity?

[0380] Example: "High (It was very enjoyable and interesting for the child)

[0381] (2) Activity Completion: How well was the activity completed?

[0382] Example: "100% (Completed the activity from start to finish with focus)

[0383] (3) Reactions during activity: What emotions or attitudes did the child show during the activity?

[0384] e.g., "Enjoyment" (continuously laughing, asking questions, and actively participating during the activity)

[0385] (4) Parent / Educator Evaluation: In what areas has the child developed through the activity?

[0386] Example: "The child's expressive ability has improved noticeably, and they creatively express drawings to the music."

[0387] 3) Feedback Analysis: Collected data is analyzed to evaluate the child's activity performance.

[0388] (1) Analysis results

[0389] Interest: High

[0390] Activity Completion: 100%

[0391] Emotional state: Joy

[0392] Creativity Development: Positive (Increased expressiveness and creativity)

[0393] The results of the above analysis indicate that the child's creative development and emotional response are positive, providing important data for planning future activities.

[0394] 4) Algorithm adjustment and activity recommendation: Based on the analysis results, the algorithm is adjusted and the next activity is recommended.

[0395] (1) Algorithm adjustment

[0396] Increased weighting for creativity development: Since the child demonstrated creativity well in this activity, the algorithm is adjusted to prioritize recommending activities that can further stimulate creativity in the next activity.

[0397] (2) Recommend the next activity

[0398] Activity: Recommended "Music Storytelling" activity where you listen to music and create a story.

[0399] Goal: To further develop the child's creative thinking and language expression skills

[0400] Reason for Recommendation: Considering the improvement in creativity and expressiveness from previous activities, storytelling activities tailored to the child's interests and developmental stage are expected to provide additional stimulation for the development of creativity.

[0401] 5) Reflection of long-term feedback: By analyzing feedback accumulated across various activities, the child's developmental trends are identified over the long term, and areas requiring continuous improvement are determined. Through this data, a personalized learning path is provided according to the child's development.

[0402] In summary, the feedback analysis module (860) does not merely collect feedback after an activity, but also continuously improves the algorithm based on this data to recommend activities suitable for improving the child's creativity and expressiveness.

[0403] For example, if a child shows a high interest in creative activities, more activities that promote creative development are recommended; conversely, if the child loses interest in a particular activity, other types of activities are recommended, thereby playing a role in continuously supporting the child's overall development.

[0404] Meanwhile, the personalization algorithm described above is as follows.

[0405] Child's Interest = (Activity Completion Rate * 0.5) + (Number of Repetitive Attempts * 0.3) + (Parent Rating Score * 0.2)

[0406] For example, (80% * 0.5) + (3 times * 0.3) + (4 points * 0.2) = 0.4 + 0.9 + 0.8 = 2.1.

[0407] Meanwhile, those capable of performing effect measurement are as follows.

[0408] 1) Activity Participation (Number of completed activities / Number of suggested activities)

[0409] 2) Creativity score (1-5 point scale, evaluated by parents or educators)

[0410] 3) Improvement in expressiveness (comparison of pre- and post-tests)

[0411] In addition, Figure 26 is a bar graph showing the level of participation by activity type, where the x-axis represents five types of creative activities and the y-axis represents the participation rate of each activity on a scale from 0% to 100%, showing that physical expression activities have the highest participation rate at 85% and music creation activities have the lowest participation rate at 60%.

[0412] Through the bar graph mentioned above, you can compare the participation rates of each type of creative activity at a glance and easily identify which activities are more popular with children.

[0413] The above results are provided in the form of an app screen or a printed report so that parents can execute them immediately.

[0414] In addition, Figure 27 is a line graph showing changes in creativity and expressiveness scores over time, Figure 28 is a pie chart showing the elemental weights of the activity recommendation algorithm, and Figure 29 is a heatmap showing preferred activity types by age group.

[0415] The three graphs above each provide the following information: the line graph shows the changes in creativity and expressiveness scores over 8 weeks, and both scores show a steady upward trend over time.

[0416] In addition, the pie chart shows the weights of the elements of the activity recommendation algorithm, with the activity completion rate accounting for the largest share at 50%, the number of repeated attempts at 30%, and parent evaluation at 20%.

[0417] In addition, the heatmap shows the types of activities preferred by age group, and darker colors indicate more preferred activities.

[0418] For example, it can be seen that children aged 1 to 2 years prefer physical expression the most, while children aged 4 to 5 years prefer storytelling the most.

[0419] The above results are provided in the form of an app screen or a printed report so that parents can execute them immediately.

[0420] And, the above user interface (900) is such that parents and educators can easily utilize the content, and in order to perform the above function, as shown in FIG. 30, the above user interface (900) is,

[0421] A profile management module (910) for creating and managing user profiles;

[0422] A content browsing module (920) for browsing and searching for stored content;

[0423] Recommendation content display module (930) that recommends customized content to the user;

[0424] Activity progress module (940) that supports and monitors the progress of educational activities;

[0425] A result analysis module (950) that analyzes the results of educational activities and generates a report;

[0426] It includes a configuration module (960) for managing system settings,

[0427] The above user interface is characterized by using age-specific color coding, providing large icons and a touch-friendly UI, and including a voice guidance function.

[0428] To explain in detail, the profile management module (910) creates and manages user profiles, and the user can input the child's name, age, gender, developmental status, preferred learning style, etc., and through this, customized content is provided, and through this, multiple child profiles can be managed, and an individually customized education plan for each profile is provided.

[0429] For example, the child profile is as follows.

[0430] 1) Name: Kim Ji-young

[0431] 2) Age: 36 months

[0432] 3) Preferred activities: Music play, drawing

[0433] 4) Developmental Status: Excellent language development, average physical development

[0434] The above content browsing module (920) is used to browse and search for stored content, and allows the user to explore content by category or quickly find necessary content by entering specific keywords.

[0435] For example, content can be segmented through filter options (age, developmental area, activity type, etc.).

[0436] For example, search filters are as follows.

[0437] 1) Age: 3~4 years old

[0438] 2) Developmental Areas: Creativity, Language

[0439] 3) Activity Type: Play, Music

[0440] The above recommended content display module (930) recommends customized content to the user, and the user can receive optimal educational content suitable for the child's developmental state through a personalized recommendation list.

[0441] At this time, recommended content is updated periodically, and notifications are provided whenever new content is added.

[0442] For example, recommended content is as follows.

[0443] 1) 'Drawing while listening to music' activity (recommended for the development of creativity)

[0444] 2) 'Storytelling Play' (recommended for language development)

[0445] The above activity progress module (940) supports and monitors the progress of educational activities, and parents or educators can start the activity, receive necessary guidance during the activity, and check the progress of the activity in real time.

[0446] The above module guides the steps of the activity and provides real-time support for problems or necessary adjustments that arise during the activity.

[0447] For example, the activity proceeds as follows.

[0448] 1) Provide guidelines to enable activities to be performed step by step.

[0449] 2) 'Try drawing to the music.' → 'When finished, move to the next step.'

[0450] 3) Record progress and notify when the activity is completed.

[0451] The above result analysis module (950) analyzes the results of educational activities and generates a report, characterized in that the report includes the child's activity completion rate, participation rate, performance, and feedback from parents or educators, and the data is used for long-term development tracking and recommendation of the next activity.

[0452] For example, the activity result report is as follows.

[0453] 1) Activity Name: 'Drawing While Listening to Music'

[0454] 2) Completion Level: 100%

[0455] 3) Participation: High

[0456] 4) Outcome: Created creative drawings and improved expressiveness in sync with the music.

[0457] 5) Parent Feedback: "The child enjoyed it very much and connected the music and drawing well."

[0458] The above setting module (960) manages system settings and is characterized by including notification settings, user interface language selection, accessibility options (voice guidance, text size adjustment), data backup and restoration, and password settings for profile protection, and parents or educators can adjust the system to suit the needs of the child and themselves.

[0459] For example, the setting options are as follows.

[0460] 1) Notification Frequency: Weekly recommended content notifications

[0461] 2) Interface Language: Korean

[0462] 3) Accessibility Settings: Increase text size, enable voice guidance

[0463] 4) Data Backup: Regularly back up to the cloud

[0464] Meanwhile, depending on additional aspects, the user interface provides the following functions to enable parents and educators to easily access and use it.

[0465] 1) Age-based color coding: Color-coded content suitable for each age group to make it easy to distinguish.

[0466] 2) Large Icons and Touch-Friendly UI: Provides large icons and buttons to enhance visual accessibility and enable easy operation on touchscreens.

[0467] 3) Voice guidance feature: Provides a function to receive voice guidance even when visual access is difficult.

[0468] In addition, Figure 31 is a bar graph showing the usage frequency of each section of the user interface, where the x-axis represents six UI sections and the y-axis represents the usage frequency of each section on a scale from 0% to 50%.

[0469] At this time, the 'Activities' section shows the highest usage frequency at 40%, and the 'Settings' section shows the lowest usage frequency at 10%.

[0470] The bar graph above allows you to compare the usage frequency of each UI section at a glance and easily identify which sections are used more frequently by users.

[0471] Meanwhile, Fig. 32 is a sample of a monthly report, which is about the activities of a 4-year-old child, "Seo Min-jun," in July.

[0472] At this time, the above monthly report is characterized by being composed of an activity participation summary layer, an activity distribution layer by area, a major achievement layer, a progress layer by development area, a next month's goal layer, an advice and suggestion layer, and a recommended activity layer for this month.

[0473] Through the aforementioned monthly report, children's music education activities are comprehensively analyzed, their developmental status is objectively evaluated, and advice on future educational directions is provided.

[0474] In addition, it is structured to enable parents and educators to easily understand and support children's musical growth.

[0475] According to the present invention, it has the effect of providing customized educational content suitable for the developmental stages of children.

[0476] In addition, it has the effect of inducing natural learning through music and play.

[0477] In addition, it has the effect of promoting balanced development in 10 areas (cognitive, language, physical, social, etc.).

[0478] Those skilled in the art to which the present invention pertains will understand that the present invention, as described above, may be implemented in other specific forms without altering the technical concept or essential features of the invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive.

[0479] The scope of the present invention is defined by the claims set forth below rather than by the detailed description above, and all modifications or variations derived from the meaning and scope of the claims and equivalent concepts thereof should be interpreted as being included within the scope of the present invention. Explanation of the symbols

[0480] 100 : Music database 200 : Instrument Database 300 : Play Method Database 400 : Developmental Stage Analysis Department 500 : Content Combination Engine Division 600 : Domain Balance Development Algorithm Department 700 : Music Genre Classification Section 800 : Creativity and Expression Enhancement Department 900 : User Interface

Claims

Claim 1 A music-based integrated education content production system for infants and toddlers is characterized by comprising: a music database (100) for storing music developed by music therapy experts; an instrument database (200) for storing information on various instruments and playing methods; a play method database (300) for storing play methods; a developmental stage analysis unit (400) for analyzing the child's age and developmental status and selecting appropriate educational content; a content combination engine unit (500) for combining music, instruments, and play methods according to the child's developmental stage; a domain balanced development algorithm unit (600) for developing domains in a balanced manner; a music genre classification unit (700) for classifying, storing, and searching music by genre; a creativity and expression enhancement unit (800) for providing activities that enhance children's creativity and expression through music and play; and a user interface (900) that allows parents and educators to easily utilize the content.

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