24 results about "Digital learning" patented technology

The invention relates to the technical field of education big data analysis, in particular to a student information intelligent management system based on big data, comprising a data convergence module used for converging multi-source heterogeneous behavior data streams of target students in campus Internet of Things and interaction logs of the target students in a digital learning platform in real time to obtain an original time sequence data vector set; and the feature generation module is used for carrying out cross-modal time domain alignment and wavelet coherent transformation on the original time sequence data vector set so as to generate a multi-scale spatial-temporal feature map representing the individual learning and living states of the students. According to the invention, global network time protocol synchronization timestamp synchronization and Kalman filtering interpolation are introduced through the data aggregation module, and the feature generation module adopts remoley wavelet transform and wavelet coherence spectrum analysis, so that the phase locking relationship of online interaction and offline behaviors of students on a time-frequency domain can be quantified; therefore, the learning and living states of the students can be more comprehensively described.

The present disclosure teaches a digital learning platform in which lessons and other interactions with the platform key off of a learner's inspiration by a wearer's garment with a graphic design and coding unique to that singular garment. The unique coding enables the learner to connect to the platform with their network connected, code scanning mobile device to access a lesson or course related to the graphic design while the wearer / user of the garment may receive value, points, and credit for the learner's activity.

5 Embodiments disclose a system and method for simplifying access and viewing of a variety of digital learning meta resources. Utilizing advanced filtration based on categorized resource data, the system efficiently organizes content for effortless retrieval. It provides users with a personalized approach to accessing educational 10 digital resource content, thereby improving accessibility and organization within digital meta learning materials. The available resources encompass images, sets of related pictures, various types of videos such as teaching and concept videos, keywords, tables, and more. With its innovative filtering features, the system aims to revolutionize the learning experience, making education more accessible, engaging, 15 and impactful for students worldwide.

Provide teaching aids for digital learning. 【Solution means】It includes unit cards with numbers and the readings of those numbers. The unit cards include a plurality of single - unit cards 10 with numbers from 1 (one, ichi) to 9 (nine, kyu / ku) written on the upper part and the readings written on the lower part; a plurality of ten - unit cards 20 with a number in the tens place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of hundred - unit cards 30 with a number in the hundreds place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of thousand - unit cards 40 with a number in the thousands place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of ten - thousand - unit cards 50 with a number in the ten - thousands place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit. When at least two or more of the single - unit cards to ten - thousand - unit cards are arranged in units, the readings of each unit card are arranged out of alignment with each other, forming the reading corresponding to the number combined by each unit card. This enables children to utilize the units to read numbers and easily acquire the magnitude of the numbers.

The invention relates to the field of virtual simulation, in particular to a graphic design course virtual simulation training system based on digital learning, original images are accessed in a mode of intercepting actual graphic design images in simulation tools, and therefore the system can adapt to various systems, tools and use scenes. After an original image is accessed, an image segmentation model is utilized to segment the original image, then various target features associated with various style changes in the segmented image are extracted, and a style feature vector is formed. And matching the style feature vector with a pre-constructed style feature template library to obtain the most similar target structured data. Therefore, similar design styles, similarities, style descriptions, typical cases and the like of the original image can be output for students. In addition, the original image is further optimized by using the generative adversarial network, so that the optimized image of the corresponding style can be output. Therefore, students are helped to understand and learn the characteristics of various graphic design styles.

The invention relates to a method for providing a learning platform that is digitally stored and used. The method includes reading in initial platform configuration data using a platform input device. Furthermore, the method includes reading in additional platform configuration data using a platform input device. The initial platform configuration data includes general data for the structure of the learning platform, while the additional platform configuration data includes individual data for the customized structure of the learning platform and is dependent on the authentication of a learning platform user.Furthermore, the process involves building the learning platform based on the initial platform setup data and subsequent platform setup data, such that a digital, interactive, and individualized visualization of the learning platform is created. This visualization allows authenticated learning platform users to interact with and / or access digital learning content. The digital learning content includes static and / or dynamically generated documents, and / or at least some documents protected against alteration. This entire process is executed automatically.

This invention relates to the interdisciplinary field of artificial intelligence and educational technology, and proposes a multi-agent-based companion learning method and system. The method includes: acquiring learning behavior data for learning situation analysis; calculating the probability of students mastering knowledge points based on item response theory; inferring students' learning emotional state through dialogue content in learning interactions; updating the memory module of the digital learning companion agent based on the learning situation analysis results, the probability of mastering knowledge points, and the learning emotional state, and then recommending matching practice questions; and generating personalized learning paths for students through a constructed digital tutor agent. This invention, based on the collaborative updating of the digital learning companion agent and the digital tutor agent, achieves dynamic generation of practice question recommendations and personalized learning paths, thereby improving the accuracy, continuity, and adaptability of learning support.

The invention discloses a learner emotion intelligent recognition method based on a multi-modal adaptive fusion network, and the method is characterized in that the method comprises the steps: collecting multi-modal data of a learner in a digital learning process, carrying out the semantic enhancement of a single-modal feature through a cross-modal semantic supervision module, and carrying out the recognition of the single-modal feature; all the modes can still obtain complementary emotional representation when noise exists or information is insufficient; an information self-adaptive fusion module is used for dynamically distributing weights according to the difference of the contribution degrees of different emotion categories to the modes, and self-adaptive fusion of the multi-mode features is achieved; and finally, inputting the fused features into a classifier, and outputting the emotional state of the learner. Compared with the prior art, the method has the advantages of high recognition precision, high adaptability and outstanding education scene application value, realizes intelligent recognition of the emotion of the learner, assists in adjusting the teaching strategy according to the recognition result, improves the personalized learning guide level, and improves the learning experience. The problems of insufficient feature expression, inflexible fusion mode, poor educational application adaptability and the like are solved.

The invention relates to the technical field of artificial intelligence and education technology crossing, and provides a multi-agent-based syndrome learning method and system, and the method comprises the steps: obtaining learning behavior data, and carrying out the learning condition analysis; based on the project reaction theory, calculating the mastering probability of the students on the knowledge points; inferring the learning emotional state of the student through the dialogue content of the learning interaction; according to the learning condition analysis result, the mastering probability of the knowledge points and the learning emotional state, a memory module of the digital learning accompanying agent is updated, and then matched exercises are recommended; and generating a personalized learning path of the student through the constructed digital tutor agent. According to the invention, based on collaborative updating of the digital learning accompanying agent and the digital tutor agent, exercise recommendation and dynamic generation of a personalized learning path are realized, so that the accuracy, continuity and adaptivity of learning support are improved.

A method and system for digital learning materials that offer an advanced audio-visual interactive experience tailored for foundation courses, language speaking courses, and similar educational contexts. The core aspect of this invention is the integration of audio-visual elements to enhance the learning experience, students can engage with multimedia resources that combine auditory and visual stimuli. This approach caters to diverse learning preferences and promotes better comprehension and retention. To reinforce learning and gauge comprehension, the system includes various exercises and self-assessment tools like quizzes, interactive puzzles, word games, and speaking exercises for language learners. The exercises are designed to be engaging and interactive, encouraging active participation. A key innovation is the integration of audio prompts and feedback within the exercises. Students may listen to audio instructions and record their answers using a microphone. Similarly, audio feedback is provided immediately after completing an exercise, offering reinforcement and guidance.

The present application discloses a digital learning content design method, device, storage medium and program product, belonging to the field of digital training and learning. The method includes: obtaining learning content and application attributes of the learning content; creating a task application corresponding to the learning content, and converting the application attributes of the learning content into configurable function items of the task application; saving the created task application to a task application resource library; creating a target business, and selecting a target task application from the task application resource library to associate the target task application with the target business, wherein the target task application includes at least one task application; in response to a configuration operation by a content designer, configuring the configurable function items of the target task application associated with the target business, so that the target task application associated with the target business executes according to the configured functions when executed by a content user.

An interactive digital learning system may include a server application and a client application. The system may be configured to provide media content to the client application to be played to a user. In examples, the media content may be part of a curriculum and may include one or more of videos, song, and activities. The system may further include a plurality of machine learning models configured to receive user interaction data and to perform one or more tasks of a plurality of potential tasks. One or more of the machine learning models may be trained at least in part on data that is specific to a background of the user.

The invention relates to the technical field of intelligent education, in particular to a primitive cognition evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: setting a plurality of primitive cognition micro-steps for a single primitive scene in a learning situation of a digital intelligence learning courseware platform; according to the first performance data, calculating a first proportion of successful completion of each primitive cognitive micro-step by the student; setting a plurality of element cognitive evolution levels for the whole teaching element scene; according to the second performance data, calculating a second proportion of each metagenetic cognitive micro-step in each metagenetic cognitive evolution level successfully completed by the student; and based on the first specific gravity and the second specific gravity, performing vitality and cognition evaluation. Student behavior data are collected and analyzed in real time through a digital means, and measurement and evaluation of the occurrence and evolution of primitive cognition in a digital intelligence learning courseware primitive scene are realized, so that teaching strategies are optimized.

The present invention relates to an apparatus and a method for managing internet gaming disorder, wherein the apparatus comprises: a data collection unit that monitors a digital learning process on a user terminal to collect multimodal data related to user behaviors; a data analysis unit that removes noise from the multimodal data and analyzes the multimodal data to detect at least one digital indicator associated with internet gaming disorder of the user; and an internet gaming disorder detection unit that determines, on the basis of the at least one digital indicator, the presence and level of internet gaming disorder of the user in the digital learning process.

The present invention relates to a digital phenotyping-based depression analysis device and method, the device comprising: a data collection unit for monitoring a digital learning process on a user terminal so as to collect multimodal data related to finger or stylus pen use-related behavior of a user; a data analysis unit for analyzing the multimodal data so as to detect at least one digital marker associated with a symptom of depression of the user; and a depression identification unit for determining the severity of the symptom of depression of the user and whether the user has depression in the digital learning process on the basis of the at least one digital marker.

The utility model discloses a wooden desktop educational toy, which relates to the technical field of educational toys, and comprises a U-shaped frame and a plurality of digital cards, the top ends of two support rods are fixedly provided with a conical barrel, a plurality of digital balls are arranged in the conical barrel, a ball outlet pipe is fixedly sleeved in the U-shaped frame, and a plurality of digital cards are arranged in the ball outlet pipe. An intelligence development board is arranged below the U-shaped frame, and each number card is fixedly arranged on the side wall of the intelligence development board. According to the utility model, through the arrangement of the number cards and the intelligence development plate, the number balls are put into the conical cylinder, the number balls can fall down through the ball outlet pipe when children play intelligence development games, and the children match the number balls with the number cards according to the numbers on the surfaces of the number balls; according to the educational toy, a plurality of digital balls can be respectively placed in the corresponding placing grooves, so that not only is the interestingness of the educational toy increased, but also children can learn digital knowledge in the game process, and the interestingness of digital learning is improved.

The application discloses a kind of learner emotion intelligent identification method based on multimodal adaptive fusion network, its characteristics are that the method includes: acquisition learner in the multimodal data of digital learning process, through cross-modal semantic supervision module, the semantic enhancement of single modal feature is carried out, so that each mode can still obtain supplementary emotional representation when there is noise or insufficient information;Using information adaptive fusion module, according to the difference of modal contribution degree of different emotional categories, dynamically allocate weight, realize the adaptive fusion of multimodal features;Finally, the features after fusion are input into the classifier, and the emotional state of the learner is output.The application has the advantages of high recognition accuracy, strong adaptability and outstanding application value in education scene compared with the prior art, realizes the intelligent identification of learner emotion, adjusts the teaching strategy according to the identification result, improves the personalized learning level, solves the problems of insufficient feature expression, inflexible fusion mode and poor education application adaptability.

Presented is a method and system for digital learning materials that offer an advanced audio-visual interactive experience tailored for foundation courses, language speaking courses, and similar educational contexts. The core aspect of this invention is the integration of audio-visual elements to enhance the learning experience, students can engage with multimedia resources that combine auditory and visual stimuli. This approach caters to diverse learning preferences and promotes better comprehension and retention. To reinforce learning and gauge comprehension, the system includes various exercises and self-assessment tools like quizzes, interactive puzzles, word games, and speaking exercises for language learners. Exercises are designed to be engaging and interactive, encouraging active participation. A key innovation is the integration of audio prompts and feedback within the exercises. Students may listen to audio instructions and record their answers using a microphone. Similarly, audio feedback is provided immediately after completing an exercise, offering reinforcement and guidance.

Examples of the presently disclosed technology provide digital learning systems that integrate an innovative learning authoring tool tailored for non-technical authors with front-end learning content software that natively performs textured / granular evaluation of a learner's progress, and dynamically modifies the digital learning content presented to the learner in response to such textured / granular evaluation.

The invention belongs to the field of vocational education informatization, and discloses an online-offline fusion-based O2O course framework system, which comprises an online learning platform module for providing digital learning resources, tests and homework and collecting learning behavior data of students in real time; and the offline classroom interaction module supports real-time communication and interaction between teachers and students through a mobile terminal or an interaction whiteboard, and synchronously records offline activity key events to the data center. According to the invention, the online learning platform module, the offline classroom interaction module, the learning behavior data analysis module and the teacher decision support module are integrated to realize refined monitoring and personalized intervention of the learning process of students, so that the teaching efficiency and the teaching quality are improved. Meanwhile, the integration degree of the course content and the latest industrial 4.0 technical standard is remarkably improved by connecting enterprise post requirements, and effective connection between online learning and offline practice and between student growth and enterprise requirements is achieved.

The present invention provides a digital learning assistance method and system, which belongs to the field of digital education technology. The method sets a knowledge point prompt request key in the exercises of the education platform, and obtains preset knowledge point information associated with the knowledge point of the current question by clicking the knowledge point prompt request key; obtains the number of prompts of the preset knowledge point information, and judges whether the number of prompts is greater than a threshold; if it is judged that the number of prompts is greater than the threshold, displays the preset knowledge point information and auxiliary memory information generated according to the preset knowledge point information, wherein the auxiliary memory information is a mnemonic containing homophones. Specifically, through the above method, students can obtain correct knowledge point guidance in time when doing questions, and at the same time, using mnemonics containing homophones as auxiliary memory information can effectively help students remember knowledge points.

The invention relates to the technical field of enterprise informatization management training, in particular to an enterprise digital learning training management platform based on AI and big data analysis, which comprises a production data interface module; the context-aware synchronization engine is used for receiving and analyzing the production context data, and dynamically identifying at least one target training theme related to the current or recent production activity according to a preset rule or model; the AI enhancement decision module is used for responding to the recognized target training theme and executing the following operations: based on the target training theme, retrieving and matching at least one associated training resource unit from the learning resource library module; and generating an enabling instruction comprising at least one training resource unit based on a predefined or dynamically calculated push strategy, and a client interaction module. According to the invention, production context can be sensed in real time, personalized learning is dynamically driven, and quantifiable verification and closed-loop optimization of the training effect at the production side are realized.

This invention discloses a method and system for assessing the digital literacy of the elderly based on a credit bank, specifically relating to the fields of digital education and elderly services. The method includes: S1, collecting multi-dimensional behavioral data from elderly users; S2, generating a dynamic credit profile based on a multi-dimensional model incorporating security and risk control capabilities, using weighted moving average, standard deviation, and trend analysis; S3, converting ability scores and preset key behavioral events into digital literacy credits, and utilizing blockchain technology to achieve trusted credit storage and consistent account updates; S4, providing physical service redemption based on credits, and pushing personalized learning feedback based on the profile's weaknesses. The system includes modules for multi-source data collection, digital literacy assessment, credit bank processing, and incentive feedback. This invention achieves dynamic and accurate assessment, trusted credit authentication, and an incentive closed loop, effectively improving the digital learning participation and literacy level of the elderly.