Information processing method and system based on education convergence media
By analyzing the types of students' wrong questions in the educational integrated media system and building an appropriate set of exercise questions, the problems of students' high learning pressure and poor results are solved, and the gradual learning effect is achieved.
Patent Information
- Application Number
- CN202510259521.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-06
- Publication Date
- 2025-06-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When the existing education integrated media system determines the weak sections of students' learning, it is easy to involve multiple sections of knowledge due to a single wrong question, which leads to high learning pressure and poor results.
By obtaining platform feedback, we determine the types of sectors involved, combine them to form the overall set and local set of sectors, randomly select local sets of sectors to construct set response questions in the short-term interval, calculate the set accuracy, define and master the local set and the set of sector problems, and output appropriate exercises.
It is realized that based on students' analysis of wrong questions, the setting of exercises from easy to difficult is reduced to students' learning pressure, and the learning effect is improved. By comprehensively considering the difficulty of exercises and the duration of solving problems, the practice effect is ensured.
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Figure CN120105341A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data processing technology, and in particular to an information processing method and system based on educational integrated media. Background Art
[0002] With the rapid development of information technology, the field of education and integrated media have been deeply integrated, forming an educational integrated media environment. In this environment, information processing is of great significance for improving the quality of education, promoting the sharing of educational resources and personalized learning.
[0003] At present, the environment for information processing using educational integrated media includes personalized learning analysis, which includes learning path planning, that is, by collecting students' answers on the learning platform to understand the students' specific learning situation in different learning parts of each subject, so as to determine the students' weak learning areas and facilitate the system to prioritize the recommendation of relevant exercises.
[0004] In the above-mentioned related technologies, when determining the students' weak learning areas, they are generally determined through the wrong questions the students have done on the learning platform. However, the knowledge systems of various subjects are relatively large and interrelated, and it is easy for a single question to contain knowledge from multiple areas. At this time, generating similar exercises based on the current wrong questions for learning puts students under great learning pressure, which is not conducive to students' effective and rapid mastery of knowledge points that they have not actually mastered, resulting in poor learning results for students using the learning platform. There is still room for improvement. Summary of the invention
[0005] In order to improve the learning effect of students using the learning platform, this application provides an information processing method and system based on educational integrated media.
[0006] In the first aspect, the present application provides an information processing method based on educational integrated media, which adopts the following technical solution: An information processing method based on educational integrated media, comprising: Get feedback from the platform about wrong questions; Determine the types of sections involved in the wrong questions reported on the platform, and combine all the types of sections involved to determine the overall set of sections; Randomly select any number of involved plate types and combine them to construct a local set of plates; A short-term interval with the current time point as the rear end point and a width of the preset short-term duration is constructed on the preset time axis, and a collective response question is determined according to the local set of the plate within the short-term interval, and the response question answer is determined according to the collective response question; The collective response questions when the response results are consistent with the preset correct answer results are defined as correct response questions, and the correct response questions determined by the local set of the section are counted to determine the number of correct questions; The collective response questions determined by the local set of the section are counted to determine the total number of questions, and the collective correctness rate is determined by calculating the number of correct questions and the total number of questions; The local set of plates corresponding to the set accuracy being greater than the preset mastering accuracy is defined as the mastering local set, and the types of plates involved in the mastering local set are counted to determine the number of internal types; According to the preset sorting rules, the number of internal types with the largest value is determined, and the mastery local set corresponding to the number of internal types is defined as the mastery upper limit set, and the abnormal local set is determined according to the overall set of the plate and the mastery upper limit set; Randomly select any number of elements from the mastery upper limit set and the abnormal local set to form a plate combination set, and define the plate combination set whose set accuracy is less than the preset difficult problem accuracy as a plate difficult problem set, and select effective exercises from the preset question library according to each plate difficult problem set and output them to the preset learning platform.
[0007] Optionally, when the set accuracy rate is greater than a preset mastering accuracy rate, the information processing method based on educational integrated media further includes: Determine whether the total number of questions corresponding to the current set accuracy is greater than the preset benchmark requirement number; If the total number of questions corresponding to the current set accuracy is greater than the benchmark requirement, the local set of sections corresponding to the set accuracy is defined as the mastered local set; If the total number of questions corresponding to the correct rate of the current set is not greater than the benchmark required number, the local set of sections corresponding to the correct rate of the set is defined as the pending local set; The plate local set containing the pending local set is defined as the outsourced local set, and the set accuracy rate corresponding to the outsourced local set is defined as the outsourced accuracy rate; Determine different elements according to the outsourced local set and the to-be-determined local set, and count the different elements to determine the number of differences; Determine the correlation parameters corresponding to the different quantities according to the preset correlation matching relationship, and calculate and determine the correction parameters according to all outsourcing accuracy rates and the corresponding correlation parameters; The set accuracy of the pending partial set is updated according to the correction parameter, and the updated set accuracy is compared with the mastering accuracy again to determine whether the partial set is mastered.
[0008] Optionally, after the outsourced local set is determined, the information processing method based on educational integrated media also includes: The correlation parameters of each outsourced local set are summed up to determine the correlation overall parameter; The associated parameters corresponding to the outsourced local set defined as the pending local set are defined as associated outsourcing parameters, and the overall outsourcing parameters are determined by summing up all the associated outsourcing parameters; Calculate the proportion of outsourcing to be determined based on the associated overall parameters and the overall outsourcing parameters; Determine whether the proportion of outsourcing pending is less than the preset proportion of licensing pending; If the proportion of outsourcing pending is less than the proportion of licensing pending, the correction parameters are determined based on the outsourcing local set that is not defined as the pending local set; If the proportion of outsourcing pending is not less than the proportion of licensing pending, a data defect signal is output and the set accuracy determined by the local set of the current section is maintained.
[0009] Optionally, the steps of selecting effective practice questions from a preset question bank based on the difficult questions of each section include: Get a collection of exercises for each question in the question bank; Define the questions that are consistent with the current set of block exercises and the current set of block problems as alternative exercises; A historical interval with a preset historical duration is constructed on the time axis with the current time point as the rear end point, and the question usage status of each alternative exercise question is determined according to the current user in the historical interval, and the alternative exercise question whose question usage status is consistent with the preset inactive state is defined as an optional exercise question; Determine the exercise accuracy based on the optional exercises, and perform a difference calculation based on the preset fixed accuracy and the set accuracy corresponding to the set of block problems to determine the required accuracy; The deviation accuracy is determined by calculating the difference between the practice accuracy and the required accuracy, and the corresponding optional exercises are sorted according to the deviation accuracy from small to large to determine the question practice order, and the optional exercises at the front of the question practice order are determined as valid exercises according to the preset required number of exercises.
[0010] Optionally, the method further includes a step of determining the number of required exercises, which step includes: According to the preset quantity matching relationship, determine the theoretical required quantity corresponding to the set accuracy rate of the set of plate puzzles; Determine the theoretical selection questions in the question practice sequence according to the number of theoretical requirements, and obtain the regular processing time according to each theoretical selection question; The overall processing time is determined by summing up the conventional processing time of the theoretical selection questions of all the block problem sets; Determine whether the overall processing time is greater than the preset reasonable processing time; If the overall processing time is not greater than the reasonable processing time, the currently determined theoretical demand quantity is determined as the required exercise quantity; If the overall processing time is longer than the reasonable processing time, the corresponding section problem sets will be sorted according to the theoretical demand quantities from large to small to determine the problem set order, and each theoretical demand quantity will be reduced by one according to the problem set order until the overall processing time is no longer than the reasonable processing time.
[0011] Optionally, the step of exporting the effective exercises to a preset learning platform includes: The number of exercise types is determined by counting the elements in the block exercise set corresponding to each valid exercise question; The corresponding valid exercises are sorted from small to large according to the number of exercise types to determine the output order of questions, and each valid exercise is output to the learning platform according to the output order of questions.
[0012] In the second aspect, the present application provides an information processing system based on educational integrated media, which adopts the following technical solutions: An information processing system based on educational integrated media, comprising: The acquisition module is used to obtain wrong questions reported by the platform; A processing module, connected to the acquisition module, for storing and processing information; The processing module determines the types of sections involved in the wrong questions fed back by the platform, and combines all the types of sections involved to determine the overall set of sections; The processing module randomly selects any number of involved plate types and combines them to construct a local set of plates; The processing module constructs a short-term interval with the current time point as the rear end point and a width of the preset short-term duration on the preset time axis, and determines the collective response question according to the local set of the plate within the short-term interval, and determines the response question answer according to the collective response question; The processing module defines the collective response questions when the response results are consistent with the preset correct answer results as correct response questions, and counts the correct response questions determined by the local set of the section to determine the number of correct questions; The processing module counts the collective response questions determined by the local set of the board to determine the total number of questions, and calculates the collective correctness rate based on the number of correct questions and the total number of questions; The processing module defines the corresponding local set of plates when the set accuracy is greater than the preset mastering accuracy as the mastering local set, and counts the types of plates involved in the mastering local set to determine the number of internal types; The processing module determines the number of internal types with the largest value according to a preset sorting rule, defines the mastery local set corresponding to the number of internal types as the mastery upper limit set, and determines the abnormal local set according to the overall set of the plate and the mastery upper limit set; The processing module randomly selects any number of elements from the mastery upper limit set and the abnormal local set to form a plate combination set, and defines the plate combination set whose set accuracy is less than the preset difficult problem accuracy as a plate difficult problem set, and selects valid exercises from the preset question library according to each plate difficult problem set and outputs them to the preset learning platform.
[0013] In summary, the present application includes at least one of the following beneficial technical effects: For students' wrong answers on the learning platform, the wrong answer types can be analyzed to set exercises from easy to difficult for students to learn, so as to achieve a gradual learning process and improve the learning effect of students using the learning platform; When setting exercises, we comprehensively consider the difficulty of the exercises and the time required to solve them in order to select the exercises to ensure that students have a good practice effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 It is a flow chart of the information processing method based on educational integrated media.
[0015] Figure 2 It is a module flow chart of the information processing method based on educational integrated media. DETAILED DESCRIPTION
[0016] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0017] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.
[0018] The present application embodiment discloses an information processing method based on educational integrated media, referring to Figure 1 ,The method flow of the information processing method based on educational ,integrated media includes the following steps: Step S100: Obtaining wrong questions from platform feedback.
[0019] Wrong questions reported by the platform are questions that students answered incorrectly on the learning platform.
[0020] Step S101: Determine the types of sections involved in the wrong questions fed back on the platform, and combine all the types of sections involved to determine the overall set of sections.
[0021] The section types involved are the section types involved in the wrong questions reported by the platform, such as geometry and functions in mathematics. Each question will be labeled in advance on the learning platform to determine which section type each question is associated with; the overall section set is the set obtained by combining all the section types involved.
[0022] Step S102: Randomly select any number of involved plate types and combine them to construct a local set of plates.
[0023] The local plate set is a set obtained by randomly selecting any number of involved plate types. For example, there are three involved plate types A, B, and C, among which the local plate sets that can be constructed are A, B, C, AB, AC, BC, and ABC respectively.
[0024] Step S103: construct a short-term interval with the current time point as the rear end point and a width of a preset short-term duration on the preset time axis, and determine a collective response question according to the local set of sections within the short-term interval, and determine the response question answer according to the collective response question.
[0025] The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time points that have passed to the time points that have not yet arrived, where the time points that have passed are on the left side of the coordinate axis, and the left side is defined as the front end. The short-term duration is the duration of recent study set by the staff to identify the student, such as 15 days. A short-term interval is constructed to facilitate the acquisition and analysis of data within the short-term duration; the collective response question is a question when the type of question that the student user has done on the learning platform within the short-term interval completely overlaps with all the types in the local set of the section. The response question answer is the result of the student user doing the collective response question, and the result includes correct and incorrect.
[0026] Step S104: defining the collective response questions when the response results are consistent with the preset correct answers as correct response questions, and counting the correct response questions determined by the local set of sections to determine the number of correct questions.
[0027] The correct answer is the response result when the student answers the set response question correctly. When the response question answer is consistent with the correct answer, it means that the question has been answered correctly in a short period of time. At this time, the correct response question is defined to distinguish different set response questions for subsequent analysis; the number of correct questions is the total number of correct response questions determined by the local set of a single section.
[0028] Step S105: Count the collective response questions determined by the local set of sections to determine the total number of questions, and calculate the collective correctness rate based on the number of correct questions and the total number of questions.
[0029] The total number of questions is the total number of collective response questions determined based on the partial set of the section, and the collective accuracy rate is the accuracy rate of questions reflecting the type of the partial set of the section obtained by dividing the number of correct questions by the total number of questions.
[0030] Step S106: defining the corresponding local set of plates when the set accuracy is greater than the preset mastering accuracy as the mastering local set, and counting the types of plates involved in the mastering local set to determine the number of internal types.
[0031] The mastery accuracy rate is the minimum set accuracy rate set by managers to determine that students have mastered this type of questions. The mastery partial set is defined to distinguish different block partial sets for subsequent analysis; the number of internal types is the number of design block types in the mastery partial set.
[0032] Step S107: Determine the number of internal types with the largest value according to the preset sorting rules, define the mastered local set corresponding to the number of internal types as the mastered upper limit set, and determine the abnormal local set according to the overall set of the plate and the mastered upper limit set.
[0033] The sorting rule is a method set by the staff to sort the size of values, such as the bubble method. The sorting rule can be used to determine the number of internal types with the largest value, that is, the corresponding question of the mastery local set is the question with the most knowledge points mastered by the student. At this time, the mastery upper limit set is defined to distinguish different mastery local sets, which is convenient for subsequent analysis; the abnormal local set is the set composed of elements in the overall set of the plate that are not in the mastery upper limit set.
[0034] Step S108: Randomly select any number of elements from the mastery upper limit set and the abnormal local set to form a section combination set, and define the section combination set whose set accuracy is less than the preset problem accuracy as a section problem set, and select valid exercises from the preset question library according to each section problem set and output them to the preset learning platform.
[0035] The section combination set is a set obtained by combining any number of elements selected from the mastery upper limit set and any number of elements selected from the abnormal local set. The problem accuracy rate is the maximum set accuracy rate allowed to be achieved when the staff determines that the student cannot effectively handle this type of question. When the set accuracy rate is less than the problem accuracy rate, it means that the student cannot effectively handle this type of question. At this time, a section problem set is defined to distinguish the different section combination sets for subsequent analysis; the question bank is a database for storing questions in the learning platform, and questions of the section problem set type in the question bank can be determined to select valid exercises from them and output them to the learning platform for students to learn. The selection method of valid exercises can be random selection or selection through the method of steps S400-S404.
[0036] When the aggregate accuracy rate is greater than the preset mastering accuracy rate, the information processing method based on educational integrated media also includes: Step S200: Determine whether the total number of questions corresponding to the current set accuracy is greater than a preset benchmark requirement number.
[0037] The benchmark requirement number is the minimum number of questions set by the staff to effectively determine whether the user has mastered the type of questions, that is, to determine whether the current set accuracy is accurate.
[0038] Step S2001: If the total number of questions corresponding to the current set accuracy is greater than the benchmark requirement number, the section local set corresponding to the set accuracy is defined as the mastered local set.
[0039] When the total number of questions corresponding to the current set accuracy is greater than the benchmark requirement number, it means that the currently determined set accuracy can effectively reflect that the student user has mastered this type of questions. At this time, the local set definition can be carried out normally.
[0040] Step S2002: If the total number of questions corresponding to the current set accuracy is not greater than the benchmark required number, the section local set corresponding to the set accuracy is defined as a pending local set.
[0041] When the total number of questions corresponding to the current set accuracy is not greater than the benchmark requirement number, it means that the currently determined set accuracy cannot effectively reflect whether the student user has mastered this type of questions. At this time, define the pending local set to distinguish different section local sets for subsequent analysis.
[0042] Step S201: defining the plate local set including the pending local set as an outsourced local set, and defining the set accuracy rate corresponding to the outsourced local set as the outsourced accuracy rate.
[0043] Define outsourced local sets and outsourced accuracy rates to distinguish different data for subsequent analysis.
[0044] Step S202: determining different elements according to the outsourced local set and the to-be-determined local set, and counting the different elements to determine the number of differences.
[0045] The different elements are the involved plate types that do not overlap between the outsourced local set and the pending local set; the number of differences is the number of determined different elements.
[0046] Step S203: determining the association parameters corresponding to the different quantities according to the preset association matching relationship, and determining the correction parameters by performing calculations according to all outsourcing accuracy rates and the corresponding association parameters.
[0047] The correlation parameter is a numerical value that reflects the degree of correlation between the outsourced local set and the pending local set. The larger the number of differences, the lower the similarity between the two sets, and the corresponding correlation parameter is also lower. The correlation matching relationship between the two is determined by the staff through multiple tests in advance, which will not be elaborated here. The correction parameter can be determined by multiplying the correlation parameter by the outsourcing accuracy and then adding them all up.
[0048] Step S204: updating the set accuracy of the pending partial set according to the correction parameter, and comparing the updated set accuracy with the grasping accuracy again to determine whether the partial set is grasped.
[0049] The set accuracy can be updated by correcting the parameters and performing mean calculation on the current set accuracy. That is, when the user has a good grasp of the type of questions corresponding to the outsourced local set, it means that the user is more likely to have mastered the questions of the current pending local set. This allows the user's specific mastery of each question type to be determined based on an effective amount of data.
[0050] After the outsourced local set is determined, the information processing method based on educational integrated media also includes: Step S300: performing sum calculation based on the associated parameters of each outsourced local set to determine the associated overall parameter.
[0051] The overall parameter of an association is the sum of all the associated parameters.
[0052] Step S301: defining the associated parameters corresponding to the outsourced local set defined as the pending local set as associated outsourcing parameters, and performing a sum calculation based on all the associated outsourcing parameters to determine the overall outsourcing parameters.
[0053] When the outsourced local set is also defined as a pending local set, it means that the set accuracy of the outsourced local set has a low reference value. In this case, it is defined as an associated outsourcing parameter to distinguish different associated parameters; the overall outsourcing parameter is the sum of all associated outsourcing parameters.
[0054] Step S302: Calculate based on the associated overall parameters and the overall outsourcing parameters to determine the proportion of outsourcing to be determined.
[0055] The proportion of outsourcing to be determined is the value obtained by dividing the overall outsourcing parameter by the associated overall parameter, reflecting whether the remaining outsourcing local set has a good reference significance.
[0056] Step S303: Determine whether the outsourcing pending ratio is less than the preset licensing pending ratio.
[0057] The permitted pending ratio is the maximum outsourced pending ratio allowed when the remaining outsourced local sets that are not pending local sets set by the staff can better analyze the current pending local sets. The purpose of the judgment is to know whether the current pending local sets can be effectively analyzed.
[0058] Step S3031: If the outsourcing pending ratio is smaller than the licensing pending ratio, the correction parameters are determined according to the outsourcing local set that is not defined as the pending local set.
[0059] When the proportion of outsourced pending items is less than the proportion of licensed pending items, it means that the current pending partial set can be analyzed through the remaining outsourced partial sets, and the correction parameters can be determined normally at this time.
[0060] Step S3032: If the outsourcing pending ratio is not less than the licensing pending ratio, a data defect signal is output and the set accuracy determined by the current block local set is maintained.
[0061] When the proportion of outsourced pending is not less than the proportion of licensed pending, it means that the current pending local set cannot be analyzed through the remaining sets, so there is data missing. At this time, a data defect signal is output to identify the situation, so that the administrators and student users of the learning platform can be informed of the situation for subsequent processing; at this time, the correctness of the determined set is maintained so that the system can operate normally, and program garbled characters are not likely to occur.
[0062] The steps of selecting effective practice questions from the preset question bank based on the difficult questions of each section include: Step S400: Obtain a set of section exercises for each question in the question database.
[0063] The section exercise set is a type set obtained by combining the type labels carried by each question. The method for determining this set is similar to the overall section set.
[0064] Step S401: define the questions in the section exercise set that are consistent with the current section difficulty set as candidate exercise questions.
[0065] When the section exercise set is consistent with the current section problem set, it means that the corresponding question type meets the requirements of the current questions to be practiced. At this time, alternative exercises are defined to distinguish different questions for subsequent analysis.
[0066] Step S402: construct a history interval with a preset history length on the time axis with the current time point as the rear end point, and determine the question usage status of each alternative exercise question according to the current user in the history interval, and define the alternative exercise questions whose question usage status is consistent with the preset unactivated state as optional exercises.
[0067] The historical duration is a fixed duration set by the staff that is greater than the short-term duration. The historical interval is constructed to facilitate the acquisition and analysis of data within the historical duration. The question usage status is whether the student user has done the question in the historical interval. The unactivated status is the question usage status when the student user has not done the question in the historical interval. When the question usage status is consistent with the unactivated status, it means that the question has good practice significance. At this time, it is defined as an optional exercise question to distinguish different alternative exercises, which is convenient for subsequent analysis.
[0068] Step S403: Determine the exercise accuracy based on the optional exercises, and perform a difference calculation based on the preset fixed accuracy and the set accuracy corresponding to the section problem set to determine the required accuracy.
[0069] The exercise accuracy rate is the comprehensive accuracy rate of all students on the learning platform when doing the optional exercises; the fixed accuracy rate is the fixed accuracy rate set by the staff, which is generally between 95% and 100%, and the specific parameters are set by the staff according to actual conditions; the required accuracy rate can be obtained by subtracting the set accuracy rate from the fixed accuracy rate, which is the accuracy rate of the questions that can better train the student users.
[0070] Step S404: Calculate the difference between the practice accuracy and the required accuracy to determine the deviation accuracy, and sort the corresponding optional exercises according to the deviation accuracy from small to large to determine the question practice order, and determine the optional exercises at the front of the question practice order as valid exercises according to the preset required practice quantity.
[0071] The deviation accuracy is the difference between the practice accuracy and the required accuracy. The difference is an absolute value. By sorting the optional exercises from small to large according to the deviation accuracy, the order of exercises that meet the requirements can be obtained. This order of sorting is the question practice order. The required number of exercises is the number of questions required for users to have better training for questions of this type. By determining the questions with the required number of exercises at the front of the question practice order as valid exercises, student users can have better learning effects.
[0072] The step of determining the amount of practice required is also included, which includes: Step S500: Determine the theoretical required quantity corresponding to the set accuracy rate of the set of section puzzles according to a preset quantity matching relationship.
[0073] The theoretical requirement quantity is the number of questions that are theoretically needed to conduct better training on this type of questions. Different set accuracy rates indicate that users have different levels of mastery of this type of questions, and the corresponding theoretical requirement quantities are also different. The quantity matching relationship between the two is determined and entered in advance by the staff.
[0074] Step S501: Determine theoretical selection questions in the question practice sequence according to the theoretical requirement quantity, and obtain a regular processing time according to each theoretical selection question.
[0075] Theoretical choice questions are the questions with the theoretical requirement number at the front in the question practice order, that is, the questions that will be selected when choosing practice questions based on the theoretical requirement number. The regular processing time is the time value for processing the theoretical choice questions, which is determined by calculating the average time spent by other students who correctly process the questions.
[0076] Step S502: The conventional processing time of the theoretical selection questions of all section difficulty sets is summed up to determine the overall processing time.
[0077] The overall processing time is the approximate time required to process all questions, and is determined by summing up all regular processing times.
[0078] Step S503: Determine whether the overall processing time is greater than a preset reasonable processing time.
[0079] Reasonable processing time is the maximum overall processing time set by the staff to determine whether students will experience fatigue or other situations of great learning pressure when handling the current questions.
[0080] Step S5031: If the overall processing time is not greater than the reasonable processing time, the currently determined theoretical required number is determined as the required exercise number.
[0081] When the overall processing time is not greater than the reasonable processing time, it means that the currently determined questions will not cause the student users to have great learning pressure, that is, the number of theoretical requirements determined at this time is reasonable, and it can be determined as the required number of exercises.
[0082] Step S5032: If the overall processing time is longer than the reasonable processing time, the corresponding section problem sets are sorted according to the theoretical requirement quantities from large to small to determine the problem set order, and each theoretical requirement quantity is reduced by one according to the problem set order until the overall processing time is no longer than the reasonable processing time.
[0083] When the overall processing time is longer than the reasonable processing time, it means that the currently determined questions will cause great learning pressure to the student users and further analysis is needed; the order of the problem sets is the sorting order of the section problem sets obtained by sorting the theoretical demand quantities corresponding to the problem sets of each section from large to small; for example, there are three section problem sets of X, Y, and Z, and their corresponding theoretical demand quantities are 4, 2, and 3 respectively, then the corresponding order of the problem sets is XZY; the appropriate number of questions can be determined by the method of sequentially reducing one. Taking the above example as an example, the method of sequentially reducing one is to first reduce the theoretical demand quantity of X to 3, and then judge the overall processing time. If the requirements are not met, the theoretical demand quantity of Z is reduced to 2. If it is still not met, the theoretical demand quantity of Y is reduced to 1, so that the user's learning requirements can be better met without causing learning pressure to students.
[0084] The steps to export effective exercises to the preset learning platform include: Step S600: Count the elements in the section exercise set corresponding to each valid exercise question to determine the number of exercise types.
[0085] The number of exercise types is the number of elements in the section exercise set corresponding to the valid exercises.
[0086] Step S601: Sort the exercise types from small to large to arrange the corresponding valid exercises to determine the question output order, and output each valid exercise to the learning platform according to the question output order.
[0087] The question output order is the order obtained by sorting the valid exercises from small to large according to the number of exercise types. By outputting the valid exercises to the learning platform in the question output order, subsequent students can give priority to questions involving fewer types of sections when doing questions. This not only enables learning of the contents of some sections, but also avoids great learning pressure from the beginning, allowing students to have a better learning experience.
[0088] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides an information processing system based on educational media integration, including: The acquisition module is used to obtain wrong questions reported by the platform; A processing module, connected to the acquisition module, for storing and processing information; The processing module determines the types of sections involved in the wrong questions fed back by the platform, and combines all the types of sections involved to determine the overall set of sections; The processing module randomly selects any number of involved plate types and combines them to construct a local set of plates; The processing module constructs a short-term interval with the current time point as the rear end point and a width of the preset short-term duration on the preset time axis, and determines the collective response question according to the local set of the plate within the short-term interval, and determines the response question answer according to the collective response question; The processing module defines the collective response questions when the response results are consistent with the preset correct answer results as correct response questions, and counts the correct response questions determined by the local set of the section to determine the number of correct questions; The processing module counts the collective response questions determined by the local set of the board to determine the total number of questions, and calculates the collective correctness rate based on the number of correct questions and the total number of questions; The processing module defines the corresponding local set of plates when the set accuracy is greater than the preset mastering accuracy as the mastering local set, and counts the types of plates involved in the mastering local set to determine the number of internal types; The processing module determines the number of internal types with the largest value according to a preset sorting rule, defines the mastery local set corresponding to the number of internal types as the mastery upper limit set, and determines the abnormal local set according to the overall set of the plate and the mastery upper limit set; The processing module randomly selects any number of elements from the mastery upper limit set and the abnormal local set to form a plate matching set, and defines the plate matching set whose set accuracy is less than the preset problem accuracy as a plate problem set, and selects valid exercises from a preset question bank according to each plate problem set and outputs them to a preset learning platform; The collection situation analysis module is used to analyze the specific situation of the collection accuracy corresponding to the local collection of the plate; An outsourcing set analysis module is used to analyze and process the determined outsourcing local set; An effective exercise question determination module is used to determine effective exercise questions more accurately; The module for determining the number of required exercises is used to reasonably determine the specific number of required exercises; The exercise output control module is used to control the output mode of effective exercise questions.
[0089] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
Claims
1. An information processing method based on educational media integration, characterized in that: include: Get feedback from the platform about wrong questions; Determine the types of sections involved in the wrong questions reported on the platform, and combine all the types of sections involved to determine the overall set of sections; Randomly select any number of involved plate types and combine them to construct a local set of plates; A short-term interval with the current time point as the rear end point and a width of the preset short-term duration is constructed on the preset time axis, and a collective response question is determined according to the local set of the plate within the short-term interval, and the response question answer is determined according to the collective response question; The collective response questions when the response results are consistent with the preset correct answer results are defined as correct response questions, and the correct response questions determined by the local set of the section are counted to determine the number of correct questions; The collective response questions determined by the local set of the section are counted to determine the total number of questions, and the collective correctness rate is determined by calculating the number of correct questions and the total number of questions; The local set of plates corresponding to the set accuracy being greater than the preset mastering accuracy is defined as the mastering local set, and the types of plates involved in the mastering local set are counted to determine the number of internal types; According to the preset sorting rules, the number of internal types with the largest value is determined, and the mastery local set corresponding to the number of internal types is defined as the mastery upper limit set, and the abnormal local set is determined according to the overall set of the plate and the mastery upper limit set; Randomly select any number of elements from the mastery upper limit set and the abnormal local set to form a plate combination set, and define the plate combination set whose set accuracy is less than the preset difficult problem accuracy as a plate difficult problem set, and select effective exercises from the preset question library according to each plate difficult problem set and output them to the preset learning platform.
2. The information processing method based on educational media integration according to claim 1 is characterized in that: When the aggregate accuracy rate is greater than the preset mastering accuracy rate, the information processing method based on educational integrated media also includes: Determine whether the total number of questions corresponding to the current set accuracy is greater than the preset benchmark requirement number; If the total number of questions corresponding to the current set accuracy is greater than the benchmark requirement, the local set of sections corresponding to the set accuracy is defined as the mastered local set; If the total number of questions corresponding to the correct rate of the current set is not greater than the benchmark required number, the local set of sections corresponding to the correct rate of the set is defined as the pending local set; The plate local set containing the pending local set is defined as the outsourced local set, and the set accuracy rate corresponding to the outsourced local set is defined as the outsourced accuracy rate; Determine different elements according to the outsourced local set and the to-be-determined local set, and count the different elements to determine the number of differences; Determine the correlation parameters corresponding to the different quantities according to the preset correlation matching relationship, and calculate and determine the correction parameters according to all outsourcing accuracy rates and the corresponding correlation parameters; The set accuracy of the pending partial set is updated according to the correction parameter, and the updated set accuracy is compared with the mastering accuracy again to determine whether the partial set is mastered.
3. The information processing method based on educational media integration according to claim 2 is characterized in that: After the outsourced local set is determined, the information processing method based on educational media integration also includes: The correlation parameters of each outsourced local set are summed up to determine the correlation overall parameter; The associated parameters corresponding to the outsourced local set defined as the pending local set are defined as associated outsourcing parameters, and the overall outsourcing parameters are determined by summing up all the associated outsourcing parameters; Calculate the proportion of outsourcing to be determined based on the associated overall parameters and the overall outsourcing parameters; Determine whether the proportion of outsourcing pending is less than the preset proportion of licensing pending; If the proportion of outsourcing pending is less than the proportion of licensing pending, the correction parameters are determined based on the outsourcing local set that is not defined as the pending local set; If the proportion of outsourcing pending is not less than the proportion of licensing pending, a data defect signal is output and the set accuracy determined by the local set of the current section is maintained.
4. The information processing method based on educational media integration according to claim 1 is characterized in that: The steps of selecting effective practice questions from the preset question bank based on the difficult questions of each section include: Get a collection of exercises for each question in the question bank; Define the questions that are consistent with the current set of block exercises and the current set of block problems as alternative exercises; A historical interval with a preset historical duration is constructed on the time axis with the current time point as the rear end point, and the use status of each alternative exercise question is determined according to the current user in the historical interval, and the alternative exercise questions whose use status is consistent with the preset inactive state are defined as optional exercise questions; Determine the exercise accuracy based on the optional exercises, and perform a difference calculation based on the preset fixed accuracy and the set accuracy corresponding to the set of block problems to determine the required accuracy; The deviation accuracy is determined by calculating the difference between the practice accuracy and the required accuracy, and the corresponding optional exercises are sorted from small to large according to the deviation accuracy to determine the order of question practice, and the optional exercises at the front of the question practice order are determined as valid exercises according to the preset number of required exercises.
5. The information processing method based on educational media integration according to claim 4 is characterized in that: The step of determining the amount of practice required is also included, which includes: According to the preset quantity matching relationship, determine the theoretical required quantity corresponding to the set accuracy rate of the set of plate puzzles; Determine the theoretical selection questions in the question practice sequence according to the number of theoretical requirements, and obtain the regular processing time according to each theoretical selection question; The overall processing time is determined by summing up the conventional processing time of the theoretical selection questions of all the block problem sets; Determine whether the overall processing time is greater than the preset reasonable processing time; If the overall processing time is not greater than the reasonable processing time, the currently determined theoretical demand quantity is determined as the required exercise quantity; If the overall processing time is longer than the reasonable processing time, the corresponding section problem sets will be sorted according to the theoretical demand quantities from large to small to determine the problem set order, and each theoretical demand quantity will be reduced by one according to the problem set order until the overall processing time is no longer than the reasonable processing time.
6. The information processing method based on educational media integration according to claim 4 is characterized in that: The steps to export effective exercises to the preset learning platform include: The number of exercise types is determined by counting the elements in the block exercise set corresponding to each valid exercise question; The corresponding valid exercises are sorted from small to large according to the number of exercise types to determine the output order of questions, and each valid exercise is output to the learning platform according to the output order of questions.
7. An information processing system based on educational media integration, characterized in that: include: The acquisition module is used to obtain wrong questions reported by the platform; A processing module, connected to the acquisition module, for storing and processing information; The processing module determines the types of sections involved in the wrong questions fed back by the platform, and combines all the types of sections involved to determine the overall set of sections; The processing module randomly selects any number of involved plate types and combines them to construct a local set of plates; The processing module constructs a short-term interval with the current time point as the rear end point and a width of the preset short-term duration on the preset time axis, and determines the collective response question according to the local set of the plate within the short-term interval, and determines the response question answer according to the collective response question; The processing module defines the collective response questions when the response results are consistent with the preset correct answer results as correct response questions, and counts the correct response questions determined by the local set of the section to determine the number of correct questions; The processing module counts the collective response questions determined by the local set of the board to determine the total number of questions, and calculates the collective correctness rate based on the number of correct questions and the total number of questions; The processing module defines the corresponding local set of plates when the set accuracy is greater than the preset mastering accuracy as the mastering local set, and counts the types of plates involved in the mastering local set to determine the number of internal types; The processing module determines the number of internal types with the largest value according to a preset sorting rule, defines the mastery local set corresponding to the number of internal types as the mastery upper limit set, and determines the abnormal local set according to the overall set of the plate and the mastery upper limit set; The processing module randomly selects any number of elements from the mastery upper limit set and the abnormal local set to form a plate combination set, and defines the plate combination set whose set accuracy is less than the preset difficult problem accuracy as a plate difficult problem set, and selects valid exercises from the preset question library according to each plate difficult problem set and outputs them to the preset learning platform.