Scientific teaching system and use method thereof, and computer readable storage medium

Abstract

The invention discloses a science teaching system, a use method thereof and a computer readable storage medium. The science teaching system comprises a data acquisition module, an analysis module and a database module. The use method of the science teaching system comprises the following steps: acquiring data of science learning / practice of a user; analyzing and evaluating the science multidimensional ability of the user through data analysis of science learning / practice of the user; and recommending a science practice scheme suitable for the user according to the science multidimensional ability of the user and the related information of personal science learning / practice of the user. According to the science teaching system and the use method thereof, and the computer readable storage medium, the science multi-dimensional ability of the user is analyzed and evaluated by establishing the assessment standard of the science multi-dimensional ability and acquiring the data of the science learning / practice of the user; according to the technical scheme, a proper dynamic and individualized science practice scheme can be made for the user according to the personal ability and target of the user, learning materials can be recommended, the defects of the user in the learning process can be intelligently analyzed, the user can carry out targeted correction, and the science learning of the user is more efficient, more convenient and lower in cost.

Description

[0001] This application is a divisional application. The original application is a PCT invention patent application with international application number "PCT / CN2021 / 080649" submitted by the applicant "Cao Qingheng" to the International Bureau on March 13, 2021. The Chinese national phase application number is "202180000468.9", and the name of the invention is "A science teaching system and its use method, computer-readable storage medium". Technical Field

[0002] The present invention relates to the technical field of teaching equipment, and in particular to a science teaching system and a use method thereof, and a computer-readable storage medium. Background Art

[0003] In addition to reading, listening to explanations, and memorizing, learning science also requires users to practice a large number of different types of questions repeatedly in order to gradually master them. Through exercises of different levels of difficulty and different types of questions, on the one hand, it can guide users to master relevant knowledge and methods from shallow to deep, and on the other hand, it can help users themselves or tutors to discover the user's mastery of relevant knowledge and methods, so as to strengthen learning and tutoring in a more targeted manner. Especially for the parts that users do not understand and master well, targeted strengthening of exercises can effectively consolidate related learning results and improve users' learning efficiency. At present, many systems, platforms or solutions can push different learning content and exercises of different difficulty levels according to the differences in users' learning levels in various knowledge points, so as to achieve relatively personalized learning and practice.

[0004] But the reality is that if you want to really learn science well, you can't just rely on the accumulation of various knowledge points. What's more important is that users can establish and master the corresponding science knowledge application system, including calculation ability, comprehension ability, analysis ability, knowledge points and methods that need to be remembered, etc. At the same time, they also need to master the thinking mode of effective problem solving and establish their own feasible problem-solving methods and processes. However, the existing systems, platforms and solutions cannot further analyze the key links that users need to focus on and practice, and cannot push more accurate content to users in a targeted manner. They can only routinely match according to knowledge points, question types, difficulty and users' corresponding learning unit scores, and have not completely solved the learning mode that users need to practice a lot and repeatedly.

[0005] By applying modern information technology, we can accurately analyze the actual situation of users' mastery of relevant knowledge and methods, combine and provide exercise sets in a targeted manner, and dynamically optimize the exercise methods and content based on the answer situation. This allows users to discover and master the parts that they need to further learn and improve in the shortest possible practice time, helping users to quickly master relevant knowledge and abilities. Summary of the invention

[0006] The main purpose of the present invention is to provide a science teaching system and its use method, and a computer-readable storage medium, which establishes evaluation standards for multi-dimensional science abilities, obtains user science learning / practice data to analyze and evaluate users' multi-dimensional science abilities, and can formulate suitable dynamic and individualized science teaching plans for users based on their personal abilities and goals, and provide standardized guidance, reminders and corrections during the practice process, so that users can learn science more efficiently, more conveniently and at a lower cost.

[0007] To achieve the above object, the present invention provides a science teaching system, comprising: a data acquisition module, an analysis module and a database module.

[0008] The data acquisition module is used to acquire the user's science learning / exercise data;

[0009] The database module is used to store a science multidimensional ability database and a user's personal science database, wherein the science multidimensional ability database includes evaluation criteria for science multidimensional ability, and the user's personal science database stores information related to the user's personal science learning / practice;

[0010] The analysis module is used to evaluate the user's multidimensional science ability through data analysis of the user's science learning / practice, and recommend a science teaching plan suitable for the user based on the user's multidimensional science ability and relevant information of the user's personal science learning / practice.

[0011] In the science teaching system as described above, the multi-dimensional science ability includes at least one of understanding, analysis, model / model group establishment, combination of knowledge points, step-by-step, problem-solving path selection, problem-solving node combination, formula memory, calculation, concentration, psychology, and proficient application.

[0012] The science teaching system as described above also includes setting corresponding levels / scores according to the evaluation results of each ability of the user's multidimensional science ability, and setting a multidimensional ability comprehensive analysis model including the analysis results of each ability according to the actual situation of the user, so that the level / score of the user's comprehensive science ability can be evaluated within a certain knowledge system according to the level / score corresponding to the evaluation of each ability of the user's multidimensional science ability and the comprehensive analysis model including the relationship between the comprehensive analysis results and each analysis item, so as to recommend a suitable science teaching plan to the user.

[0013] As described above, the science teaching system, the science teaching plan includes a learning plan and / or a practice plan, the learning plan includes a review and summary after learning and practicing specific teaching content, and the practice plan includes practice objectives, difficulty, questions, practice points, methods and techniques, practice time, and completion standards.

[0014] In the science teaching system as described above, the science multi-dimensional ability database also includes marking the learning content / topics according to the content / topic source, grade, course, difficulty, type, learning / problem-solving points, involved knowledge points, and involved formulas.

[0015] The science teaching system as described above can also combine the user's multi-dimensional science ability and the user's personal science learning / practice related information to recommend teaching video / audio / text / picture materials suitable for the user.

[0016] The science teaching system as described above further includes adjusting or re-recommending a science teaching plan suitable for the user according to the actual situation of the user learning / practicing science.

[0017] The science teaching system as described above can also perform intelligent analysis and provide feedback based on the actual situation of the user's science learning / practice, and the feedback includes: feeding back the analysis results to the user so that the user can improve in a targeted manner; feeding back the analysis results to the teacher / parent in real time, and the teacher / parent conducts manual intervention; and issuing at least one item in the evaluation report based on the analysis results.

[0018] The present invention also provides a method for using the science teaching system as described above, the method comprising:

[0019] Obtain data on users’ science learning / practice;

[0020] Evaluate users' multi-dimensional science abilities through data analysis of their science learning / practice;

[0021] Recommend a science teaching plan suitable for the user based on the user's multi-dimensional science abilities and the user's personal science learning / practice related information.

[0022] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for using the science teaching system as described above are implemented.

[0023] A science teaching system and a method for using the system, as well as a computer-readable storage medium, of the present invention include: a data acquisition module, an analysis module, and a database module. The method for using the science teaching system includes: acquiring the user's science learning / practice data; evaluating the user's multidimensional science ability through data analysis of the user's science learning / practice; and recommending a science teaching plan suitable for the user based on the user's multidimensional science ability and the user's personal science learning / practice related information. A science teaching system and a method for using the system, as well as a computer-readable storage medium of the present invention, establish an evaluation standard for the multidimensional science ability, acquire the user's science learning / practice data to analyze and evaluate the user's multidimensional science ability, can formulate a suitable dynamic, individualized science teaching plan for the user based on the user's personal ability and goal, and recommend learning materials, can also intelligently analyze the deficiencies in the user's learning process, so that the user can make targeted corrections, and make the user's science learning more efficient, more convenient, and less costly. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 FIG. 4 is a schematic diagram of a science teaching system according to a first embodiment of the present invention.

[0025] Figure 2 This is a method flow chart of a method for using a science teaching system according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose, the specific implementation mode of the present invention is described in detail below in conjunction with the accompanying drawings and embodiments.

[0027] The science teaching system of the present invention can be used in subjects such as mathematics, physics, chemistry, biology, etc., and can also be used in other suitable science subjects.

[0028] The first embodiment of the present invention refers to Figure 1 . Figure 1 This is a schematic diagram of a science teaching system according to the first embodiment of the present invention. As shown in the figure, the science teaching system of the present invention comprises: a data acquisition module 11, a database module 12 and an analysis module 13.

[0029] The data acquisition module 11 is used to acquire the data of the user's science learning / practice. The data of the user's science learning / practice may include: the answer content of science test papers / workbooks / exercise books / workbooks, answers to classroom questions, discussions of questions, data of learning / practice on teaching software, and other data that can reflect the user's science level. The science teaching system of the present invention can obtain the content of the user's test papers, exercise books, exercise books, and other materials through the data acquisition module 11 such as a scanner, or record classroom videos through image sensors and analyze them to obtain classroom questions and answers, topic discussions, and other contents. It can also be that the user / teacher / parent enters the data that can reflect the user's science level by himself through computer input devices such as keyboards and mice, or obtains the user's science learning / practice data from other systems / databases through relevant data interfaces.

[0030] In the present invention, the data of user science learning / practice acquired by the data acquisition module 11 can be data from different sources, with different data structures, different descriptions, and different data standards. The data from different sources can be standardized through dictionary matching, speech recognition technology, semantic recognition technology, translation of different languages, OCR recognition technology, virtual reality technology, augmented reality technology and other methods to facilitate subsequent automated processing.

[0031] The database module 12 is used to store the science multidimensional ability database and the user's personal science database. The science multidimensional ability database includes the evaluation criteria of science multidimensional ability. The science multidimensional ability includes at least one of the abilities of understanding, analysis, model / model group establishment, combining knowledge points, step-by-step, problem-solving path selection, problem-solving node combination, formula memory, calculation, concentration, psychology, and skilled application. It can also include the combination ability of two or more single abilities, and can also include the ability to complete various grades / difficulty questions, and the relationship between the completion ability, combination ability, and single ability. In the present invention, a model refers to a scene virtually established to solve one or a class of problems, and a model group is composed of more than one model combination. Step-by-step refers to converting complex questions into multiple models / model groups and solving them step by step in a certain order. A problem-solving node refers to the smallest unit in the problem-solving process, which can be a single-step calculation or the introduction of a single parameter, etc. A problem-solving path refers to a path composed of more than one problem-solving node, which completely covers the problem-solving process from the question to the answer. Each question can have multiple different problem-solving paths, and the correct answer can be obtained.

[0032] The problem-solving path can be step-by-step / branched / layered. After de-objectifying the problem, a model can be obtained. The model can also be step-by-step / branched / layered. Each upper-level model can be composed of multiple lower-level models, and the lower-level model can also be composed of multiple lower-level models. The model corresponds to one or more knowledge points. Knowledge points may include: constants, formulas, columns, functions, definitions, laws, theorems, deformations, transformations, analogies, transfers, methods, similarities, sameness, mirror images, rotations, planes, solids, algebra, trigonometric functions, statistics, computing power, etc.

[0033] For example: Question g(y 2 +y) has a domain of (0, 2), then g(y 2 +2y+1)?

[0034] (1) Understanding: The key point of this question is to understand the domain, that is, all the real numbers for which the function is meaningful.

[0035] (2) Analysis: Given the known domain y 2 +y range, and then y 2 Substitute +2y+1 to solve.

[0036] (3) Model establishment: Establish a model for solving the definition domain, that is, first determine the range of the variable expression in the brackets through the known conditions, then substitute the variable expression to be solved and solve it.

[0037] (4) Combined with the knowledge points, the knowledge points of this question include the domain of function and solving quadratic equations.

[0038] (5) Step by step, this question is divided into three steps. First, through the question g(y 2 +y) is defined in the domain [0,

[0039] 2] 0 <y 2 +y<6, then substitute the variable to be solved to get 0 <y 2 +

[0040] 2y+1<6, finally solve it.

[0041] (6) Problem-solving path selection, 0 <y 2 +2y+1<6 There are two paths to solve it. Path one is from 0<(y+1) 2 <6, the solution is

[0042] And y≠-1

[0043] The second path is to directly substitute the quadratic equation into the solution formula to obtain And y≠-1

[0045] (7) Problem-solving node combination. The problem-solving node includes each step of the problem-solving path, including single-step calculation or the introduction of a single parameter, which will not be elaborated here.

[0046] (8) Formula. The formula in this question is mainly the formula for solving a quadratic equation.

[0047] (9) Calculation, including finding the range of a known variable expression from a known domain and then substituting the range into the variable expression to be solved, as well as the calculation of the process of solving a quadratic equation, which will not be elaborated here.

[0048] (10) In addition, the user's concentration, psychological ability, and proficient application ability in science multi-dimensional abilities can be analyzed from the time it takes to solve a problem, the standard of writing, whether there are mistakes, the type of mistakes, and the cause of the mistakes. For example, solving a problem correctly and in a short time indicates a high level of proficient application ability, and writing in a standard way without mistakes indicates a high level of concentration ability. Being able to do homework but making mistakes in exams indicates poor psychological ability, and so on.

[0049] The science multidimensional ability database may also include: the mastery scope and list of various grades / difficulty questions, as well as the standards and requirements of various single-dimensional abilities, combination abilities, and completion abilities corresponding to various grades / difficulty questions, various questions and answers, various knowledge points and related learning content, the relevant content of each model / model group, various analysis methods, various problem-solving methods / paths / nodes, node combinations and path selection, various formulas, the connection between knowledge points / models / formulas / problem-solving methods, the connection between questions and knowledge points / models / formulas / problem-solving methods, etc., and also include marking the learning content / topics according to the source, grade, course, difficulty, type, learning / problem-solving points, involved knowledge points, and involved formulas, and can find the topic suitable for the user as the content of the teaching plan through marking. The various knowledge points and learning content may include: the name, grade, number, keyword, knowledge point content, difficulty, importance, test frequency, knowledge point type, reference materials, learning suggestions, related knowledge points / models / formulas / problem-solving methods, related topics, learning materials, etc. Various questions and answers may include: various questions and question sources, grade, number, question content, question category, question difficulty, question answers, reference materials, related knowledge points / models / formulas / problem-solving methods and degree of correlation, question mastery requirements, test frequency, etc. Question answers and reference materials may be in text / picture / audio / video or other forms.

[0050] The user's personal science database stores relevant information about the user's personal science learning / practice, and is used to provide relevant information about the user's personal science learning / practice in the analysis and evaluation of the user's multidimensional science ability, and recommends science teaching plans suitable for the user. The relevant information about the user's personal science learning / practice may include: user basic information, school, teacher, grade, learning goals, personal science ability, personal science characteristics, various abilities related to science, mastered problem-solving methods / techniques / skills, practice time, exercise records, learning progress and other information, as well as historical evaluation information of the user's multidimensional science ability and corresponding related data. Among them, the user's basic information includes: name, age, gender, height, weight, family situation, etc. Personal science ability may include: the level / level of the user's single-dimensional ability and combined ability of the user's multidimensional science ability, the ability to complete various different grades / difficulty questions that the user has mastered, and the corresponding level and proficiency. Personal science characteristics may include: the user's favorite / disliked question types, question background, object, problem-solving method, technique, skill, etc.; the user's good / bad question types, question background, object, problem-solving method, technique, skill, etc. The various abilities related to science include: IQ, memory, reaction ability, coordination ability, logical reasoning ability, abstract thinking ability and spatial imagination ability, physical strength, endurance, etc.

[0051] In the present invention, the science multidimensional ability database and the user's personal science database are established by selecting suitable learning content and questions and obtaining relevant data based on various teaching materials, teaching syllabuses, tutoring materials, expert experience / consensus, educational papers and works, relevant systems and guidelines, exercise books, test papers, and question banks, or by analyzing existing data through artificial intelligence and synthesizing them according to specifications, or by obtaining new data through data mining / data reorganization / statistical analysis. The data acquisition method of the science multidimensional ability database and the user's personal science database may include the user / teacher / parent inputting it by themselves, acquiring it from other information systems, devices or databases, or continuously acquiring and analyzing new data during the use of database related information, or it may be a combination of the above methods.

[0052] The analysis module 13 is used to evaluate the user's multidimensional science ability through data analysis of the user's science learning / practice, and recommend a science teaching plan suitable for the user based on the user's multidimensional science ability and relevant information of the user's personal science learning / practice.

[0053] The analysis module 13 evaluates the user's science multidimensional ability through data analysis of the user's science learning / exercise. The feature data required for evaluation can be extracted from the user's science learning / exercise data, and then the extracted feature data is compared with the science multidimensional ability evaluation standard in the science multidimensional ability database, and the ability of each dimension of the user's science multidimensional ability is evaluated from the dimensions of understanding, analysis, model / model group establishment, combination of knowledge points, step-by-step, problem-solving path selection, problem-solving node combination, formula memory, calculation, concentration, psychology, and proficient application. It can also evaluate the combined ability of two or more single abilities of the user's science multidimensional ability, and can also evaluate the ability to complete various grades / difficulty questions.

[0054] Extract the feature data needed to evaluate the multidimensional science ability from the user's science learning / practice data such as science test papers / workbooks / exercise books / answers to classroom questions / discussions of questions, etc., which can be the accuracy, error type, error degree, error cause, correlation, frequency of occurrence, etc. of each dimension of understanding, analysis, model / model group establishment, combination of knowledge points, step-by-step, problem-solving path selection, problem-solving node combination, formula memory, calculation, concentration, psychology, proficiency in application, etc., and compare it with the science multidimensional ability evaluation standard to analyze the ability of each dimension of the user's science multidimensional ability. The science multidimensional ability evaluation standard can be different graded evaluation standards for the requirements of the syllabus for different ages and different feature data such as the accuracy, error type, error degree, error cause, correlation, frequency of occurrence, etc. of each dimension. For example, for computing ability, an accuracy rate greater than or equal to 98% is level one, an accuracy rate between 90% and 98% and a correlation coefficient less than 0.1 is level two, and an accuracy rate less than 90% is level three.

[0055] The science teaching system of the present invention can also set the corresponding level / score according to the evaluation results of each ability of the user's science multidimensional ability, and can set the multidimensional ability comprehensive analysis model including the analysis results of each ability according to the actual situation of the user, so that the level / score corresponding to each ability analysis and the comprehensive analysis model including the relationship between the comprehensive analysis results and each analysis project can be evaluated according to the actual situation of the user. Within the scope of a certain knowledge system, the level / score of the comprehensive ability of the user's science is evaluated, and it is used to recommend a suitable science teaching plan to the user. The scoring / rating can also consider the age and development prospects of the user, and give a higher score / rating to users with young age / good development prospects. The comprehensive analysis model is a model for analyzing and evaluating the multidimensional ability of the science of the user, which can be set manually by experts / senior teachers, or obtained by data statistics / analysis, or obtained by information reorganization / big data analysis, or obtained by artificial intelligence deep learning / optimization, and can be continuously accumulated and optimized during use.

[0056] F is the level / score of comprehensive ability, f i is the level / score corresponding to the evaluation result of the i-th ability, S(f i ) is the analysis model formula related to the i-th capability. The specific calculation formula is as follows:

[0057]

[0058] After the analysis module 13 evaluates the user's multidimensional science ability, it recommends a science teaching plan suitable for the user based on the user's multidimensional science ability and the user's personal science learning / practice related information. The science teaching plan includes a learning plan and / or a practice plan. The learning plan includes a review and summary after learning and practicing specific teaching content. The learning of specific teaching content can be done in the form of text, video, interactive program, manual remote control, etc., and can also include prompts during the learning process.

[0059] The practice plan includes practice goals, difficulty, questions, practice points, methods and techniques, practice time, completion standards, etc. The practice goals can be to improve grades, pass exams / tests, improve multi-dimensional science abilities or individual abilities and combination abilities, improve the ability to complete questions of different grades / difficulties, or improve various abilities related to science, such as IQ, memory, reaction ability, coordination ability, logical reasoning ability, abstract thinking ability and spatial imagination ability, physical strength, endurance, problem-solving methods / techniques / skills, etc., or a combination of the above goals.

[0060] The science teaching system of the present invention can recommend a science teaching plan suitable for the user based on the user's actual situation, including the user's multi-dimensional science ability and the user's personal science learning / practice related information, as well as the user's practice intensity and practice time characteristics. The teaching plan can be a single teaching plan, a comprehensive teaching plan for a period of time, or a teaching plan for a specific exam / question.

[0061] Recommend suitable science teaching solutions for users, including:

[0062] Determine user goals. User goals can be to achieve a certain level of multi-dimensional science ability, to achieve a certain level of question completion ability, to achieve a certain exam / test score, or a combination of the above.

[0063] Based on the user's goals and the user's current multi-dimensional science abilities and problem-solving abilities, calculate the ability-improvement tasks that need to be completed to achieve the goals.

[0064] Then, based on the tasks and the user's actual situation, a personalized science teaching plan is formulated for the user.

[0065] The science teaching plan can include a learning plan and / or a practice plan. The learning plan can be to select appropriate learning content as a learning plan. The practice plan can be based on difficulty / methods and techniques / practice points, etc., to select corresponding marked questions from the science multidimensional ability database, generate questions or combinations thereof that cover the task requirements and are suitable for the user's actual situation, and generate a practice plan. For example: based on the gap between the user's current science multidimensional ability and the ability to complete the questions and the goal, the task analyzed and calculated is to improve each of the three abilities from level 1 to level 2, and then select the learning content and questions that meet the current task from the database, and combine the user's practice time, etc. to generate a teaching plan.

[0066] In the present invention, if the gap between the goal and the existing ability is large, the goal can also be decomposed into multiple sub-goals, and the task can also be decomposed into multiple corresponding sub-tasks. For example: the various abilities of the multidimensional ability of science are divided into ten levels, and the user's goal is to reach the level of 8 in both analysis and calculation ability, and to be able to skillfully complete the problem of quadratic equations. The user's current analysis ability is level 6, and the calculation ability is level 7. The problem of quadratic equations cannot be completed. Then, the user's task is to improve the analysis ability from level 6 to level 8, and the calculation ability from level 7 to level 8, so that the problem of quadratic equations has the ability to complete. Since the gap between the goal and the existing ability is large, the goal can be decomposed into multiple sub-goals: the analysis ability reaches level 7, the calculation ability reaches level 8, the analysis ability reaches level 8, and the problem of quadratic equations is skillfully completed. Correspondingly, the task can also be divided into multiple sub-tasks: the analysis ability reaches level 7 from level 6, the calculation ability reaches level 8 from level 7, the analysis ability reaches level 8 from level 7, and the ability to complete the problem of quadratic equations has the ability to complete. The sub-goals and corresponding sub-tasks may also be single-dimensional abilities, combined abilities, and problem-solving abilities of multi-dimensional abilities in science, or a combination thereof, and are not limited here.

[0067] After that, it is necessary to formulate corresponding sub-plans according to each sub-task, each sub-plan can cover the corresponding sub-task, and then integrate the sub-plans to form a complete teaching plan, which can fully cover the entire task and achieve the requirements of the complete goal. It is also possible to optimize each sub-plan so that the integrated teaching plan can achieve the best efficiency and effect.

[0068] The calculation dimensions for sub-scheme formulation and optimization can include:

[0069] 1. Comprehensively cover the learning / practice tasks of all task units of this goal, and be accurate and complete.

[0070] 2. Try not to include new problem points that you have not mastered / are not proficient in.

[0071] 3. Try to use the minimum learning / practice scope required to complete the task.

[0072] 4. Try to use the minimum practice intensity required to complete the task, including time and content complexity, and remove redundant exercises with high similarity.

[0073] 5. Try to choose topics / content that users are interested in.

[0074] The science teaching scheme generated by the science teaching system of the present invention may be one or more. The science teaching system may also set corresponding levels / scores according to the evaluation results of different dimensions, and may set the weights of each dimension according to the actual situation of the user, so as to obtain the comprehensive level / score of the science teaching scheme for evaluation and comparison of different schemes. The science teaching system may recommend the teaching scheme with the highest comprehensive level / score to the user, or may manually or automatically set a recommendation threshold value, and teaching schemes with comprehensive levels / scores higher than the threshold value will be recommended and selected by the user, teacher or parent. The evaluation dimensions may include: the length of time required, the amount of improvement in grades, the length of memory time, the level of user interest / initiative, etc.

[0075] X is the comprehensive level / score of the science teaching plan, x j is the level / score corresponding to the result of the jth dimension, k j is the corresponding weight of the jth dimension. The specific calculation formula is as follows:

[0076]

[0077] The science teaching system of the present invention stores science teaching schemes suitable for different model groups such as science multidimensional abilities suitable for different users and relevant information of different users' personal science learning / exercises, and these science teaching schemes can be set manually by experts / senior teachers, or obtained by data statistics / data analysis, or obtained by information reorganization / big data analysis, or obtained by artificial intelligence deep learning / optimization, and can be continuously accumulated and optimized during use. Recommending science teaching schemes suitable for users according to the actual situation of users is to analyze and compare the fit of the user's science multidimensional abilities and the relevant information of the user's personal science learning / exercises with the existing model, select the existing science teaching scheme that best suits the user, and consider the difference between the actual situation of the user and the existing model. The scheme is appropriately adjusted to make the scheme more suitable for the actual situation of the user himself. The adjustment can be completed manually by professionals, or it can be completed automatically by the system relying on pre-set rules, or it can be completed automatically by artificial intelligence through self-learning.

[0078] The science teaching system of the present invention can also be a teaching plan for users. By analyzing the user's science learning / practice data, the user's progress can be obtained, and the implementation of the teaching plan can be promoted according to the actual progress, thereby greatly improving the implementation effect of the teaching plan.

[0079] The science teaching system of the present invention can also intelligently analyze the situations that need to be paid attention to during the user's learning / practice according to the user's science learning / practice data and in combination with the user's multi-dimensional science ability, and remind the user to pay attention. The science teaching system can also include a display module for displaying teaching content and information to remind the user to pay attention. The information to remind the user to pay attention can be displayed on the display module in the form of text, pictures or videos, or can be displayed in a prominent manner in combination with the teaching content, such as changing the color or bolding the place to remind attention, or reminding the user to pay attention by voice or other means.

[0080] The science teaching system of the present invention can also visualize the problem-solving process. By visually decomposing the problem, and visually displaying the corresponding multidimensional abilities on the problem, the corresponding visual display on the learning content, and the corresponding visual display on the overall / local level, the learning process can be made clearer and the learning effect can be more obvious. Specific visualization displays can include: scene understanding, model / decomposition (various layers: logic layer, theorem / law / axiom / common sense, quantity layer, data relationship layer (data conversion), formula layer, calculation layer (calculation skills, speed, accuracy), memory, standardization, etc.

[0081] The science teaching system of the present invention can also perform intelligent analysis and provide feedback based on the actual situation of the user's science learning / practice, and the feedback includes: feeding back the analysis results to the user so that the user can improve in a targeted manner; feeding back the analysis results to the teacher / parent in real time, and the teacher / parent can perform manual intervention; and issuing at least one item in the evaluation report based on the analysis results.

[0082] The science teaching system of the present invention can also intelligently analyze the actual situation of the user's science learning / practice and feed back the analysis results to the user, so that the user can stick to the correct part in a targeted manner, correct the wrong part, and continuously improve the science level. After the user executes the science teaching plan, the science teaching system can analyze and evaluate the data of the user's science learning / practice, and feed back the results of the analysis and evaluation to the user. At the same time, it can also specifically point out the deficiencies in the user's learning / practice process, and can feed back standard audio or video to the user, so that the user can make targeted corrections. As a tool for science teaching, the science teaching system of the present invention can help users analyze whether the questions they have done are correct, and continuously improve and improve their science level.

[0083] The science teaching system of the present invention can also include providing real-time feedback during the user's science learning / practice process, and teachers / parents can perform manual intervention. Through manual intervention, when the user does not use the system correctly for learning / practice, it can be corrected in time. Or when the user achieves the results of learning / practice, it can provide timely feedback to the teacher and parents, give praise to the user, etc., to improve the user's interest in learning science.

[0084] The science teaching system of the present invention can also issue an evaluation report based on the user's science learning / practice situation. The evaluation report can include: the user's science multidimensional ability includes understanding, analysis, model / model group establishment, combined knowledge points, step-by-step, problem-solving path selection, problem-solving node combination, formula memory, calculation, concentration, psychology, proficient application, etc., and can also include the combination of two or more single abilities, or the user's science multidimensional ability comprehensive ability, and can also include the completion ability of the topic or its combination, etc. The evaluation report can also be a phased comparison report, or a progress report for a period of time, or a report on the achievement of a certain goal. The report can be oriented to users, teachers, parents, schools, extracurricular organizations, social organizations, and work units, as the basis of the learning process / personnel professional level evaluation / professional normative evaluation, etc.

[0085] In the present invention, the data acquisition module 11, the analysis module 13 and the database module 12 may be installed on a server, and the evaluation results and the recommended solutions may be directly fed back to the user's display module, smart phone or computer via a remote network.

[0086] By adopting the science teaching system of the present invention, users can formulate personalized learning / practice plans based on their actual conditions through the assessment of their multidimensional science abilities and problem analysis, complete the corresponding learning / practice plans, and achieve the learning / practice goals - improving the user's multidimensional science abilities and the ability to proficiently complete more questions.

[0087] The science teaching system of the present invention can also evaluate the user's multi-dimensional science abilities and the effectiveness of the user's science teaching plan at any time during the user's use, and adjust or re-recommend a science teaching plan suitable for the user based on the user's actual situation of learning / practicing science, so that the user can always get a suitable science teaching plan when using the science teaching system of the present invention, and continuously and effectively improve his or her science level.

[0088] The second embodiment of the present invention refers to Figure 2 . Figure 2 This is a method flow chart of a method for using a science teaching system according to a second embodiment of the present invention. As shown in the figure, the method for using the science teaching system of the present invention includes:

[0089] S1: Obtain user's science learning / practice data;

[0090] S2: Evaluate the user's multi-dimensional science ability through data analysis of the user's science learning / practice;

[0091] S3: Recommend a science teaching plan suitable for the user based on the user's multi-dimensional science abilities and relevant information about the user's personal science learning / practice.

[0092] The method of using a science teaching system of the present invention corresponds one to one with the technical features of a science teaching system of the present invention, and can refer to the description of the aforementioned science teaching system, which will not be repeated here.

[0093] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for using the science teaching system as described above are implemented.

[0094] A computer-readable storage medium of the present invention corresponds one-to-one to a method for using a science teaching system of the present invention and the technical features of a science teaching system. You can refer to the description of the aforementioned method for using a science teaching system and a science teaching system, and will not repeat them here.

[0095] In summary, the present invention provides a science teaching system and a method for using the same, and a computer-readable storage medium. The science teaching system includes: a data acquisition module, an analysis module, and a database module. The method for using the science teaching system includes: acquiring the user's science learning / practice data; evaluating the user's multidimensional science ability through data analysis of the user's science learning / practice; and recommending a science teaching plan suitable for the user based on the user's multidimensional science ability and the user's personal science learning / practice related information. The present invention provides a science teaching system and a method for using the same, and a computer-readable storage medium. By establishing an evaluation standard for science multidimensional ability, acquiring the user's science learning / practice data to analyze and evaluate the user's multidimensional science ability, a suitable dynamic and individualized science teaching plan can be formulated for the user based on the user's personal ability and goal, and learning materials can be recommended. It can also intelligently analyze the deficiencies in the user's learning process, so that the user can make targeted corrections, making the user's science learning more efficient, more convenient, and less costly.

[0096] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A science teaching system, characterized in that: The science teaching system includes: a data acquisition module, an analysis module and a database module. The data acquisition module is used to acquire the user's science learning / practice data, and the user's science learning / practice data includes at least one of: the answer content of science test papers / exercise books / workbooks / workbooks, answers to classroom questions, discussion of questions, and learning / practice data on teaching software; The database module is used to store a science multidimensional ability database and a user's personal science database. The science multidimensional ability database includes evaluation criteria for science multidimensional ability. The user's personal science database stores information related to the user's personal science learning / practice. The science multidimensional ability includes model / model group establishment, problem-solving path selection, problem-solving node combination, and computing ability. The model refers to a virtual scene established to solve one or a class of problems, which is obtained by de-objectifying the problem. The model group is composed of more than one model combination. The analysis module is used to evaluate the user's multi-dimensional science ability through data analysis of the user's science learning / exercise and / or recommend a science exercise program suitable for the user based on the user's multi-dimensional science ability and relevant information of the user's personal science learning / exercise; The system also sets corresponding levels / scores according to the evaluation results of different dimensions, and sets the weights of each dimension according to the actual situation of the user, so as to obtain the comprehensive level / score of the science teaching plan for evaluation and comparison of different plans. The evaluation dimensions include: the length of time required, the amount of improvement in grades, the length of memory time, and the level of user interest / initiative. The specific calculation formula is as follows: X is the comprehensive level / score of the science teaching plan, xj is the level / score corresponding to the result of the jth dimension, and kj is the corresponding weight with the jth dimension; The system also decomposes the questions visually, displays the corresponding multi-dimensional capabilities on the questions, and displays the corresponding visual displays on the overall / local level. The specific visual displays include: scene understanding, model / decomposition, formula layer, calculation layer, memory, and normative visual decomposition display.

2. The science teaching system according to claim 1, characterized in that: The science teaching system also includes setting corresponding levels / scores according to the evaluation results of each ability of the user's multidimensional science ability, and setting a multidimensional ability comprehensive analysis model including the analysis results of each ability according to the actual situation of the user, so that the level / score of the user's comprehensive science ability can be evaluated within a certain knowledge system based on the level / score corresponding to the evaluation of each ability of the user's multidimensional science ability and the comprehensive analysis model including the relationship between the comprehensive analysis results and each analysis item.

3. The science teaching system according to claim 1, characterized in that: The science practice plan includes practice objectives, difficulty, questions, practice points, methods and techniques, practice time, and completion standards.

4. The science teaching system according to claim 1, characterized in that: The science multi-dimensional ability database also includes marking the learning content / topics according to the content / topic source, grade, course, difficulty, type, learning / problem-solving points, involved knowledge points, and involved formulas.

5. The science teaching system according to any one of claims 1 to 4, characterized in that: The science teaching system can also combine the user's multi-dimensional science ability and the user's personal science learning / practice related information to recommend teaching video / audio / text / picture materials suitable for the user.

6. The science teaching system according to any one of claims 1 to 4, characterized in that: The science teaching system also includes adjusting or re-recommending a science practice plan suitable for the user according to the actual situation of the user learning / practicing science.

7. The science teaching system according to any one of claims 1 to 4, characterized in that: The science teaching system can also perform intelligent analysis and provide feedback based on the actual situation of the user's science learning / practice. The feedback includes: feeding back the analysis results to the user so that the user can improve in a targeted manner; feeding back the analysis results to the teacher / parent in real time, and the teacher / parent can perform manual intervention; and issuing at least one item in the evaluation report based on the analysis results.

8. A method for using the science teaching system according to any one of claims 1 to 7, characterized in that: The method comprises: Acquire the user's science learning / practice data, wherein the user's science learning / practice data includes at least one of: the answer content of science test papers / exercise books / workbooks / workbooks, answers to classroom questions, discussion of questions, and learning / practice data on teaching software; Evaluate the user's multi-dimensional science ability through data analysis of the user's science learning / exercise, which includes model / model group establishment, problem-solving path selection, problem-solving node combination, and computing ability; the model refers to a virtual scene established to solve one or a class of problems, which is obtained by de-objectifying the problem, and the model group is composed of more than one model; Recommend science practice plans suitable for users based on their multi-dimensional science abilities and relevant information about their personal science learning / practice.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for using the science teaching system according to claim 8 are implemented.

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