Chinese ancient book online course evaluation system
By obtaining and analyzing the answers and viewing data of online courses and adjusting the difficulty level and content of courses, the problem of unreasonable arrangement of knowledge points in online courses is solved, and the user's learning effect is improved.
Patent Information
- Application Number
- CN202510458546.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2025-07-22
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The knowledge points of the existing online courses are unreasonable and the difficulty assessment is inaccurate, resulting in a low degree of user mastery, and the degree of correlation between knowledge points and the impact of user learning fatigue is not taken into account.
The course data acquisition module obtains answering data and viewing data, the course data analysis module analyzes the learning situation, and the direction analysis unit determines the course difficulty level based on the answer accuracy and viewing data deviation, identifies characteristic sections and adjusts the duration, and optimizes the course content based on the answering accuracy.
It improves the accuracy of judging the difficulty level of knowledge points, optimizes the course content arrangement, and improves the learning effect and mastery of users.
Smart Images

Figure CN120355542A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of course evaluation, and particularly to an online course evaluation system for Chinese ancient books. Background Art
[0002] With the rapid development of Internet technology, the education field has undergone profound changes. As an emerging teaching mode, online courses have gradually become an important part of the education system. The popularization of the Internet and the progress of information technology have made the acquisition and dissemination of educational resources more convenient and efficient. Students can learn through network platforms at any time and place. This flexibility and accessibility have greatly expanded the coverage of education and promoted the rapid growth of the number of online courses.
[0003] However, compared with traditional offline courses, the arrangement and implementation of online courses face unique challenges. Due to the lack of face-to-face interaction and immediate feedback, the arrangement of knowledge points in online courses may not be adjusted in a timely manner according to students' feedback. In this case, the arrangement of course content may be inappropriate, such as the unreasonable order of knowledge points and uneven difficulty distribution, thus affecting students' learning effects.
[0004] In order to improve the teaching quality and effects of online courses, it is particularly important to evaluate courses scientifically and systematically.
[0005] The prior art discloses a user course learning progress monitoring system for an online learning platform, including a course selection unit, a course status processing unit, a course difficulty division unit, a learning progress analysis unit, a processor, and a learning progress efficiency evaluation unit. The present invention processes data of different courses through the learning data of different users to judge the changes of courses under different learning situations, calculates the influence values and standard ranges of various data based on the changes, performs signal conversion on different courses and analyzes the difficulty level of the courses, calculates the influence of the course difficulty level, and evaluates the learning situation of the user at the current time through the course difficulty level, the influence values of various data, and the standard ranges, determines the change in the learning progress of the user after learning the course, facilitates understanding the learning situation of the user, increases the understanding of different users, and helps users improve their learning progress.
[0006] However, the prior art still has the following problems:
[0007] In reality, there are situations where the difficulty assessment of knowledge points is inaccurate. Since the difficulty level of knowledge points may be affected by users' learning fatigue and the degree of association between course knowledge points, the arrangement of course knowledge points and the arrangement of the explanation duration of each section are unreasonable, resulting in the problem that users have a low mastery of the course. Summary of the Invention
[0008] To this end, the present invention provides an online course evaluation system for Chinese ancient books, aiming to overcome the situation in the prior art that the difficulty level of knowledge points may be affected by the learning fatigue of users and the degree of association between the knowledge points of the course, resulting in unreasonable arrangement of the knowledge points of the course and the explanation duration of each section, and thus leading to the problem of low mastery degree of the course by users.
[0009] To achieve the above object, the present invention provides an online course evaluation system for Chinese ancient books, including:
[0010] A course data collection module for obtaining the answering data of each section of the course and the viewing data of each section of the course;
[0011] A course data analysis module, connected to the course data collection module, for determining the learning situation of each section according to the answering data of each section of the course and the viewing data of each section of the course, and determining the learning situation of the course according to the learning situation of each section;
[0012] A course evaluation module, connected to the course data analysis module, including an evaluation unit and an adjustment direction analysis unit,
[0013] The evaluation unit is used to evaluate the online course of Chinese ancient books according to the learning situation of the course;
[0014] The adjustment direction analysis unit is used to obtain the change tendency of the answering accuracy of the course, combine the change tendency of the deviation amount of the viewing data of each section of the course to determine the adjustment direction of the course difficulty level, identify the characteristic section, obtain the number of times the keywords in the characteristic section appear in the remaining sections, and combine the answering accuracy rate to determine the adjustment duration of the characteristic section;
[0015] The answering data of each section includes the answering duration and the answering accuracy, and the viewing data of each section includes the number of views, the viewing duration, the number of pauses and the pause duration.
[0016] As a preferred technical solution of the online course evaluation system for Chinese ancient books, the course data analysis module is used to determine the learning situation of each section according to the answering data of each section of the course and the viewing data of each section of the course, including,
[0017] Determining the ratio of the deviation amount of the answering duration to the reference answering duration to the reference answering duration as the answering duration deviation influence factor;
[0018] Determining the ratio of the deviation amount of the answering accuracy to the reference answering accuracy to the reference answering accuracy as the answering accuracy deviation influence factor;
[0019] To determine that the weighted sum value of the answering time deviation influence factor and the answering accuracy deviation influence factor is the answering data influence value;
[0020] To determine that the ratio of the deviation amount between the number of views and the reference number of views to the reference number of views is the view number deviation influence factor;
[0021] To determine that the ratio of the deviation amount between the viewing duration and the section duration to the section duration is the viewing duration deviation influence factor;
[0022] To determine that the ratio of the deviation amount between the number of pauses and the reference number of pauses to the reference number of pauses is the pause number deviation influence factor;
[0023] To determine that the ratio of the deviation amount between the pause duration and the reference pause duration to the reference pause duration is the pause duration deviation influence factor;
[0024] To determine that the weighted sum value of the view number deviation influence factor, the viewing duration deviation influence factor, the pause number deviation influence factor, and the pause duration deviation influence factor is the viewing data influence value;
[0025] To determine that the weighted sum value of the answering data influence value and the viewing data influence value is the section learning situation characterization value.
[0026] As an optimal technical solution of the Chinese ancient book online course evaluation system, the course data analysis module is used to determine the course learning situation according to the learning situation of each section, including,
[0027] If the learning situation of each section is a standard situation, it is determined that the course learning situation is normal;
[0028] If there is any section with a non-standard learning situation, it is determined that the course learning situation is abnormal;
[0029] If the section learning situation characterization value is less than the learning situation characterization value threshold, the section learning situation is a standard situation.
[0030] As an optimal technical solution of the Chinese ancient book online course evaluation system, the evaluation unit is used to evaluate the Chinese ancient book online course according to the course learning situation, including,
[0031] If the course learning situation is normal, evaluate that the Chinese ancient book online course does not need to adjust the course;
[0032] If the course learning situation is abnormal, evaluate that the Chinese ancient book online course is a course to be adjusted.
[0033] As an optimal technical solution of the Chinese ancient book online course evaluation system, the adjustment direction analysis unit is used to obtain the tendency of the change in the answering accuracy of the course, including,
[0034] For obtaining the answering accuracy of each subsection;
[0035] For sorting the answering accuracies of each subsection according to the order of the subsection in the course;
[0036] For determining the tendency of the change in the answering accuracy of the course, including a positive change tendency, a negative change tendency, and an irregular change tendency;
[0037] If, after sorting, the answering accuracies of each subsection show a downward trend, then the tendency of the change in the answering accuracy of the course is a negative change tendency; if, after sorting, the answering accuracies of each subsection show an upward trend, then the tendency of the change in the answering accuracy of the course is a positive change tendency; if, after sorting, the answering accuracies of each subsection do not show an upward trend or a downward trend, then the tendency of the change in the answering accuracy of the course is an irregular change tendency.
[0038] As an optimal technical solution of the Chinese ancient books online course evaluation system, the adjustment direction analysis unit is used to determine the tendency of the change in the viewing data deviation amount of each subsection of the course, including
[0039] For obtaining the viewing data deviation amount of each subsection;
[0040] For sorting the viewing data deviation amounts of each subsection according to the order of the subsection in the course;
[0041] For determining the tendency of the change in the viewing data deviation amount of each subsection of the course, including a positive change tendency, a negative change tendency, and an irregular change tendency;
[0042] If, after sorting, the viewing data deviation amounts of each subsection show a downward trend, then the tendency of the change in the viewing data deviation amount of each subsection of the course is a negative change tendency; if, after sorting, the viewing data deviation amounts of each subsection show an upward trend, then the tendency of the change in the viewing data deviation amount of each subsection of the course is a positive change tendency; if, after sorting, the viewing data deviation amounts of each subsection do not show an upward trend or a downward trend, then the tendency of the change in the viewing data deviation amount of each subsection of the course is an irregular change tendency.
[0043] As an optimal technical solution of the Chinese ancient books online course evaluation system, the adjustment direction analysis unit is used to determine the adjustment direction of the course difficulty level by combining the tendency of the change in the answering accuracy of the course and the tendency of the change in the viewing data deviation amount of each subsection of the course, including
[0044] If the positive adjustment condition is met, then determine that the adjustment direction of the course difficulty level is the difficulty increasing direction;
[0045] If the negative adjustment condition is met, then determine that the adjustment direction of the course difficulty level is the difficulty decreasing direction;
[0046] If the positive adjustment condition or the negative adjustment condition is not met, then determine not to adjust the course difficulty level;
[0047] The positive adjustment condition is that the change tendency of the course answering accuracy is a positive change tendency, the deviation amounts of the viewing data for each section of the course are all negative deviation amounts, and the change tendency of the deviation amounts of the viewing data for each section of the course is a positive change tendency; the negative adjustment condition is that the change tendency of the course answering accuracy is a negative change tendency, the deviation amounts of the viewing data for each section of the course are all positive deviation amounts, and the change tendency of the deviation amounts of the viewing data for each section of the course is a positive change tendency;
[0048] The positive deviation amount means that each value of the viewing data is greater than each corresponding reference value, and the negative deviation amount means that each value of the viewing data is less than each corresponding reference value.
[0049] As an optimal technical solution of the Chinese ancient book online course evaluation system, the adjustment direction analysis unit identifies characteristic sections, including,
[0050] To sort the influence values of the answering data for each section of the course from large to small;
[0051] To identify the section corresponding to the first-order answering data influence value as the characteristic section.
[0052] As an optimal technical solution of the Chinese ancient book online course evaluation system, the adjustment direction analysis unit obtains the number of occurrences of keywords in the remaining sections in the characteristic section, and determines the adjustment duration of the characteristic section in combination with the answering accuracy rate, including,
[0053] If the number of occurrences is less than the reference number of occurrences, and the answering accuracy rate of the characteristic section is less than the reference answering accuracy rate, then the adjustment duration of the characteristic section is determined;
[0054] The adjustment amount of the characteristic section duration is negatively correlated with the number of occurrences;
[0055] The keyword is the knowledge point noun in the characteristic section.
[0056] As an optimal technical solution of the Chinese ancient book online course evaluation system, it further includes an evaluation display module, which is connected to the course evaluation module and is used to display the course evaluation.
[0057] Compared with the prior art, the present invention obtains the answering data and viewing data of each subsection of the course through the course data collection module. The course data analysis module determines the learning situation of each subsection based on the answering data and viewing data of each subsection of the course, so as to determine the learning situation of the course. The evaluation unit evaluates the online Chinese ancient books course according to the learning situation of the course. The adjustment direction analysis unit obtains the change tendency of the answering accuracy of the course and combines it with the change tendency of the viewing data deviation amount of each subsection of the course to determine the adjustment direction of the course difficulty level, identifies the characteristic subsections, and determines the adjustment duration of the characteristic subsections according to the number of occurrences of the keywords in the remaining subsections and in combination with the answering accuracy rate. By analyzing the answering data and viewing data, the present invention takes into account the influence of the relevance between knowledge points, improves the accuracy of judging the difficulty level of knowledge points, and makes a reliable evaluation of the course.
[0058] In particular, the present invention determines the learning situation of each subsection through the course data analysis module according to the answering data and viewing data of each subsection of the course. In actual situations, as the course duration increases, it may lead to an increase in the difficulty of knowledge points of medium difficulty due to learning fatigue, thereby increasing the difficulty of the knowledge points. When there is a large correlation among the subsections of the course, it may play a role in promoting the mutual understanding of the learning of knowledge points, thereby reducing the difficulty of the knowledge points. The answering data and viewing data are important parameters characterizing the user's mastery of knowledge points. When there are situations such as a large number of viewing times, a long viewing duration, a large number of pause times, and a long pause duration in the course, it can to a certain extent indicate that the user's mastery of the knowledge points in this subsection is low, and can to a certain extent characterize the user's mastery of the knowledge points, so as to reliably evaluate the rationality of the course arrangement.
[0059] In particular, the present invention determines the adjustment direction of the course difficulty level through the adjustment direction analysis unit according to the change tendency of the answering accuracy of the course and combines it with the change tendency of the viewing data deviation amount of each subsection of the course. As the course time increases, learning may enter a fatigue state, resulting in a decline in the ability to understand knowledge points. It may also lead to an increase in the ability to understand knowledge points due to continuous repetition of related knowledge points. By analyzing the tendencies of the answering data and viewing data in the course, it can further characterize the difficulty levels of the knowledge points in each subsection, so as to adjust the difficulty levels of the knowledge points in each subsection, thereby improving the learning effect of the user.
[0060] In particular, the present invention determines the adjusted duration of the feature section by adjusting the direction analysis unit according to the number of occurrences of keywords in the remaining sections in the feature section and combining the answer accuracy rate. In actual situations, a relatively large correlation between knowledge points in a course may promote the learning of each knowledge point and enhance the understanding of each knowledge point, while a relatively small correlation between knowledge points in a course may lead to a greater difficulty in understanding the knowledge points, resulting in a lower mastery level of the knowledge points. By considering the correlation between knowledge points in the course and combining the answer accuracy rate, the difficulty of knowledge points for users' learning can be further accurately identified, so that the duration of the explanation of knowledge points can be adjusted again according to the difficulty of the knowledge points, thereby improving the user's mastery of the knowledge points. BRIEF DESCRIPTION OF THE DRAWINGS
[0061] Figure 1 It is a structural block diagram of the online Chinese ancient book course evaluation system in the embodiment of the present invention;
[0062] Figure 2 It is a structural block diagram of the course evaluation module in the embodiment of the present invention;
[0063] Figure 3 It is a logical decision diagram for the course data analysis module in the embodiment of the present invention to determine the course learning situation. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0064] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only for explaining the present invention and are not used to limit the present invention.
[0065] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.
[0066] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention.
[0067] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0068] Please refer to Figures 1-3 As shown, the present invention provides an online course evaluation system for Chinese ancient books, including:
[0069] A course data collection module for obtaining the answering data and viewing data of each section of the course;
[0070] A course data analysis module, connected to the course data collection module, for determining the learning situation of each section according to the answering data and viewing data of each section of the course, and determining the course learning situation according to the learning situation of each section;
[0071] A course evaluation module, connected to the course data analysis module, including an evaluation unit and an adjustment direction analysis unit,
[0072] The evaluation unit is used to evaluate the online course of Chinese ancient books according to the course learning situation;
[0073] The adjustment direction analysis unit is used to obtain the change tendency of the answering accuracy of the course, combine it with the change tendency of the deviation amount of the viewing data of each section of the course to determine the adjustment direction of the course difficulty level, identify the characteristic sections, obtain the number of times the keywords in the characteristic sections appear in the remaining sections, and determine the adjustment duration of the characteristic sections in combination with the answering accuracy rate;
[0074] The answering data of each section includes the answering duration and the answering accuracy, and the viewing data of each section includes the number of views, the viewing duration, the number of pauses, and the pause duration.
[0075] In this embodiment, the online course of Chinese ancient books includes several courses, each course includes several sections, and each section includes a different number of practice questions. The online course system of Chinese ancient books can record the answering data and viewing data of users.
[0076] Specifically, the course data analysis module is used to determine the learning situation of each section according to the answering data and viewing data of each section of the course, including,
[0077] Determining the ratio of the deviation amount between the answering duration and the reference answering duration to the reference answering duration as the answering duration deviation influence factor;
[0078] The ratio of the deviation amount of the answering accuracy from the reference answering accuracy to the reference answering accuracy is the answering accuracy deviation influence factor;
[0079] The weighted sum value of the answering duration deviation influence factor and the answering accuracy deviation influence factor is the answering data influence value;
[0080] The ratio of the deviation amount of the viewing times from the reference viewing times to the reference viewing times is the viewing times deviation influence factor;
[0081] The ratio of the deviation amount of the viewing duration from the section duration to the section duration is the viewing duration deviation influence factor;
[0082] The ratio of the deviation amount of the pause times from the reference pause times to the reference pause times is the pause times deviation influence factor;
[0083] The ratio of the deviation amount of the pause duration from the reference pause duration to the reference pause duration is the pause duration deviation influence factor;
[0084] The weighted sum value of the viewing times deviation influence factor, the viewing duration deviation influence factor, the pause times deviation influence factor, and the pause duration deviation influence factor is the viewing data influence value;
[0085] The weighted sum value of the answering data influence value and the viewing data influence value is the section learning situation characterization value.
[0086] In this embodiment, the reference values are set according to the user's answering data and viewing data in the historical data. The reference answering duration is 5 min, the reference answering accuracy is 80%, the reference viewing times is 2 times, the reference pause times is 2 times, the reference pause duration is 5 min. The weight coefficient of the answering duration deviation influence factor is 0.3, the weight coefficient of the answering accuracy deviation influence factor is 0.7, the weight coefficient of the viewing times deviation influence factor is 0.1, the weight coefficient of the viewing duration deviation influence factor is 0.4, the weight coefficient of the pause times deviation influence factor is 0.1, the weight coefficient of the pause duration deviation influence factor is 0.4, the weight coefficient of the answering data influence value is 0.5, and the weight coefficient of the viewing data influence value is 0.5.
[0087] Specifically, the course data analysis module of the present invention determines the learning situation of each section based on the answering data and viewing data of each section of the course. In actual situations, as the course duration increases, it may lead to an increase in the difficulty of moderately difficult knowledge points due to learning fatigue, thereby increasing the difficulty of the knowledge points. When there is a strong correlation among the sections of the course, it may promote the mutual understanding of the knowledge points, thereby reducing the difficulty of the knowledge points. The answering data and viewing data are important parameters for characterizing the user's mastery of the knowledge points. When there are situations such as a large number of views, a long viewing duration, a large number of pauses, and a long pause duration in the course, it can to a certain extent indicate that the user's mastery of the knowledge points in this section is low, and can to a certain extent characterize the user's mastery of the knowledge points, thereby reliably evaluating the rationality of the course arrangement.
[0088] Specifically, the course data analysis module is used to determine the course learning situation according to the learning situation of each section, including,
[0089] If the learning situation of each section is in the standard situation, it is determined that the course learning situation is normal;
[0090] If there is any section with a non-standard learning situation, it is determined that the course learning situation is abnormal;
[0091] If the characterization value of the section learning situation is less than the threshold of the characterization value of the learning situation, the section learning situation is in the standard situation.
[0092] In this embodiment, the threshold of the characterization value of the learning situation is 0.15.
[0093] Specifically, the evaluation unit is used to evaluate the online Chinese ancient books course according to the course learning situation, including,
[0094] If the course learning situation is normal, it is evaluated that the online Chinese ancient books course does not need to be adjusted;
[0095] If the course learning situation is abnormal, it is evaluated that the online Chinese ancient books course is to be adjusted.
[0096] Specifically, the adjustment direction analysis unit is used to obtain the tendency of the change in the answering accuracy of the course, including,
[0097] To obtain the answering accuracy of each section;
[0098] To sort the answering accuracies of each section according to the order of the sections in the course;
[0099] To determine the tendency of the change in the answering accuracy of the course, including: positive change tendency, negative change tendency, and irregular change tendency;
[0100] If, after sorting, the answer accuracy of each section shows a downward trend, then the change tendency of the course answer accuracy is a negative change tendency; if, after sorting, the answer accuracy of each section shows an upward trend, then the change tendency of the course answer accuracy is a positive change tendency; if, after sorting, the answer accuracy of each section does not show an upward or downward trend, then the change tendency of the course answer accuracy is an irregular change tendency.
[0101] In this embodiment, if the answer accuracy of each section is greater than 80% of the straight fitting value with a negative slope, it is determined that the answer accuracy of each section shows a downward trend; if the answer accuracy of each section is greater than 80% of the straight fitting value with a positive slope, it is determined that the answer accuracy of each section shows an upward trend.
[0102] Specifically, the adjustment direction analysis unit is used to determine the change tendency of the viewing data deviation amount of each section of the course, including
[0103] used to obtain the viewing data deviation amount of each section;
[0104] used to sort the viewing data deviation amounts of each section according to the order of the sections in the course;
[0105] used to determine the change tendency of the viewing data deviation amount of each section of the course, including positive change tendency, negative change tendency, and irregular change tendency;
[0106] If, after sorting, the viewing data deviation amounts of each section show a downward trend, then the change tendency of the viewing data deviation amount of each section of the course is a negative change tendency; if, after sorting, the viewing data deviation amounts of each section show an upward trend, then the change tendency of the viewing data deviation amount of each section of the course is a positive change tendency; if, after sorting, the viewing data deviation amounts of each section do not show an upward or downward trend, then the change tendency of the viewing data deviation amount of each section of the course is an irregular change tendency.
[0107] Specifically, the adjustment direction analysis unit is used to determine the adjustment direction of the course difficulty level by combining the change tendency of the course answer accuracy with the change tendency of the viewing data deviation amount of each section of the course, including
[0108] If the positive adjustment condition is met, it is determined that the adjustment direction of the course difficulty level is the difficulty increasing direction;
[0109] If the negative adjustment condition is met, it is determined that the adjustment direction of the course difficulty level is the difficulty decreasing direction;
[0110] If the positive adjustment condition or the negative adjustment condition is not met, it is determined that the course difficulty level is not adjusted;
[0111] The positive adjustment condition is that the change tendency of the course answering accuracy is a positive change tendency, the deviation amounts of the viewing data of each section of the course are all negative deviation amounts, and the change tendency of the deviation amounts of the viewing data of each section of the course is a positive change tendency; the negative adjustment condition is that the change tendency of the course answering accuracy is a negative change tendency, the deviation amounts of the viewing data of each section of the course are all positive deviation amounts, and the change tendency of the deviation amounts of the viewing data of each section of the course is a positive change tendency;
[0112] The positive deviation amount means that each value of the viewing data is greater than each corresponding reference value, and the negative deviation amount means that each value of the viewing data is less than each corresponding reference value.
[0113] Specifically, the adjustment direction analysis unit of the present invention determines the adjustment direction of the course difficulty level according to the change tendency of the course answering accuracy combined with the change tendency of the deviation amount of the viewing data of each section of the course. As the course time increases, learning may enter a fatigue state, resulting in a decline in the ability to understand knowledge points. It may also be due to the continuous repetition of related knowledge points, resulting in an enhancement of the ability to understand knowledge points. By analyzing the answering data and viewing data tendencies in the course, the difficulty level of each section of knowledge points can be further characterized, so that the difficulty level of each section of knowledge points can be adjusted, thereby improving the learning effect of users.
[0114] Specifically, the adjustment direction analysis unit identifies characteristic sections, including,
[0115] used to sort the influence values of the answering data of each section of the course from large to small;
[0116] used to identify the section corresponding to the first-order answering data influence value as the characteristic section.
[0117] Specifically, the adjustment direction analysis unit obtains the number of times the keywords in the characteristic section appear in the remaining sections, and determines the adjustment duration of the characteristic section in combination with the answering accuracy rate, including,
[0118] If the number of appearances is less than the reference number of appearances, and the answering accuracy rate of the characteristic section is less than the reference answering accuracy rate, then it is determined to adjust the duration of the characteristic section;
[0119] The adjustment amount of the duration of the characteristic section is negatively correlated with the number of appearances;
[0120] The keyword is the knowledge point noun in the characteristic section.
[0121] It can be understood that each section explains a knowledge point, and the knowledge point has a corresponding noun.
[0122] In this embodiment, the reference number of appearances is 5 times.
[0123] It is understandable that when the connections between the knowledge points of each subsection are relatively large, the nouns corresponding to the knowledge points will appear repeatedly in the course. For knowledge points with mutual relevance, they will promote each other's learning effects during the course of learning. When the relevance of the knowledge points is relatively small and the answering accuracy rate is relatively low, the explanation duration of this knowledge point should be increased at this time, so as to improve the understanding degree of this knowledge point. When the degree of connection between knowledge points is lower, the increased time should also be more.
[0124] Specifically, the present invention determines the adjustment duration of the feature subsection by the adjustment direction analysis unit according to the number of times the keywords in the feature subsection appear in the remaining subsections, combined with the answering accuracy rate. In actual situations, a relatively large connection between knowledge points in the course may promote the learning of each knowledge point and improve the understanding of each knowledge point, while a relatively small connection between knowledge points in the course may lead to a greater difficulty in understanding the knowledge points, resulting in a lower degree of mastery of the knowledge points. By considering the connection between knowledge points in the course and combining the answering accuracy rate, the difficulty of the knowledge points for the user's learning can be further accurately identified, so that the explanation duration of the knowledge points can be adjusted again according to the difficulty of the knowledge points, thereby improving the user's mastery of the knowledge points.
[0125] Specifically, it further includes an evaluation display module, connected to the course evaluation module, for displaying the course evaluation.
[0126] The modules involved in the embodiments described in this application can be implemented in software or in hardware. The described modules can also be set in the processor. Among them, the names of these modules do not constitute a limitation to the module itself in some cases.
[0127] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of the devices, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and this module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order from that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based device for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
[0128] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0129] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.
Claims
1. An online course evaluation system for Chinese ancient books, characterized in that, Including: A course data acquisition module for obtaining the answering data of each subsection of the course and the viewing data of each subsection of the course; A course data analysis module, connected to the course data acquisition module, for determining the learning situation of each subsection according to the answering data of each subsection of the course and the viewing data of each subsection of the course, and determining the learning situation of the course according to the learning situation of each subsection; A course evaluation module, connected to the course data analysis module, including an evaluation unit and an adjustment direction analysis unit, The evaluation unit is used to evaluate the online Chinese ancient books course according to the learning situation of the course; The adjustment direction analysis unit is used to obtain the change tendency of the answering accuracy of the course, combine it with the change tendency of the deviation amount of the viewing data of each subsection of the course to determine the adjustment direction of the course difficulty level, identify the characteristic subsections, obtain the number of times the keywords in the characteristic subsections appear in the remaining subsections, and combine the answering accuracy rate to determine the adjustment duration of the characteristic subsections; The answering data of each subsection includes the answering duration and the answering accuracy, and the viewing data of each subsection includes the number of views, the viewing duration, the number of pauses and the pause duration.
2. The online Chinese ancient book course evaluation system according to claim 1, wherein The course data analysis module is used to determine the learning situation of each subsection according to the answering data of each subsection of the course and the viewing data of each subsection of the course, Including, To determine that the ratio of the deviation amount of the answering duration to the reference answering duration to the reference answering duration is the answering duration deviation impact factor; To determine that the ratio of the deviation amount of the answering accuracy to the reference answering accuracy to the reference answering accuracy is the answering accuracy deviation impact factor; To determine that the weighted sum value of the answering duration deviation impact factor and the answering accuracy deviation impact factor is the answering data impact value; To determine that the ratio of the deviation amount of the number of views to the reference number of views to the reference number of views is the number of views deviation impact factor; To determine that the ratio of the deviation amount of the viewing duration to the subsection duration to the subsection duration is the viewing duration deviation impact factor; To determine that the ratio of the deviation amount of the number of pauses to the reference number of pauses to the reference number of pauses is the number of pauses deviation impact factor; To determine that the ratio of the deviation amount of the pause duration to the reference pause duration to the reference pause duration is the pause duration deviation impact factor; To determine that the weighted sum value of the number of views deviation impact factor, the viewing duration deviation impact factor, the number of pauses deviation impact factor and the pause duration deviation impact factor is the viewing data impact value; To determine that the weighted sum value of the answering data impact value and the viewing data impact value is the subsection learning situation characterization value.
3. The online course evaluation system for Chinese ancient books according to claim 2, wherein The course data analysis module is used to determine the learning situation of the course according to the learning situation of each subsection, including, If the learning situation of each subsection is the standard situation, it is determined that the learning situation of the course is normal; If there is any subsection with a non-standard learning situation, it is determined that the learning situation of the course is abnormal; If the subsection learning situation characterization value is less than the learning situation characterization value threshold, the subsection learning situation is the standard situation.
4. The online Chinese ancient book course evaluation system according to claim 3, wherein The evaluation unit is used to evaluate the online Chinese ancient books course according to the learning situation of the course, including, If the learning situation of the course is normal, it is evaluated that the online Chinese ancient books course is a course that does not need to be adjusted; If the learning situation of the course is abnormal, it is evaluated that the online Chinese ancient books course is a course to be adjusted.
5. The online course evaluation system for Chinese ancient books according to claim 1, wherein The adjustment direction analysis unit is used to obtain the changing tendency of the accuracy of answering questions in the course, including, being used to obtain the accuracy of answering questions for each subsection; being used to sort the accuracy of answering questions for each subsection according to the order of the subsections in the course; being used to determine the changing tendency of the accuracy of answering questions in the course, including positive changing tendency, negative changing tendency, and irregular changing tendency; If, after sorting, the accuracy of answering questions for each subsection shows a downward trend, then the changing tendency of the accuracy of answering questions in the course is a negative changing tendency; if, after sorting, the accuracy of answering questions for each subsection shows an upward trend, then the changing tendency of the accuracy of answering questions in the course is a positive changing tendency; if, after sorting, the accuracy of answering questions for each subsection does not show an upward or downward trend, then the changing tendency of the accuracy of answering questions in the course is an irregular changing tendency.
6. The online Chinese ancient book course evaluation system according to claim 5, characterized in that, The adjustment direction analysis unit is used to determine the changing tendency of the deviation amount of viewing data for each subsection of the course, including, being used to obtain the deviation amount of viewing data for each subsection; being used to sort the deviation amounts of viewing data for each subsection according to the order of the subsections in the course; being used to determine the changing tendency of the deviation amount of viewing data for each subsection of the course, including positive changing tendency, negative changing tendency, and irregular changing tendency; If, after sorting, the deviation amount of viewing data for each subsection shows a downward trend, then the changing tendency of the deviation amount of viewing data for each subsection of the course is a negative changing tendency; if, after sorting, the deviation amount of viewing data for each subsection shows an upward trend, then the changing tendency of the deviation amount of viewing data for each subsection of the course is a positive changing tendency; if, after sorting, the deviation amount of viewing data for each subsection does not show an upward or downward trend, then the changing tendency of the deviation amount of viewing data for each subsection of the course is an irregular changing tendency.
7. The online course evaluation system for Chinese ancient books according to claim 6, wherein The adjustment direction analysis unit is used to determine the adjustment direction of the course difficulty level based on the changing tendency of the accuracy of answering questions in the course combined with the changing tendency of the deviation amount of viewing data for each subsection of the course, including, if the positive adjustment conditions are met, then determine that the adjustment direction of the course difficulty level is the direction of increasing difficulty; if the negative adjustment conditions are met, then determine that the adjustment direction of the course difficulty level is the direction of decreasing difficulty; if the positive adjustment conditions or the negative adjustment conditions are not met, then determine not to adjust the course difficulty level; The positive adjustment conditions are that the changing tendency of the accuracy of answering questions in the course is a positive changing tendency, the deviation amounts of viewing data for each subsection of the course are all negative deviation amounts, and the changing tendency of the deviation amounts of viewing data for each subsection of the course is a positive changing tendency; the negative adjustment conditions are that the changing tendency of the accuracy of answering questions in the course is a negative changing tendency, the deviation amounts of viewing data for each subsection of the course are all positive deviation amounts, and the changing tendency of the deviation amounts of viewing data for each subsection of the course is a positive changing tendency; The positive deviation amount means that each value of the viewing data is greater than each corresponding reference value, and the negative deviation amount means that each value of the viewing data is less than each corresponding reference value.
8. The online course evaluation system for Chinese ancient books according to claim 1, wherein The adjustment direction analysis unit identifies characteristic subsections, including, being used to sort the influence values of the answering data for each subsection of the course from largest to smallest; being used to identify the subsection corresponding to the first-order influence value of the answering data as the characteristic subsection.
9. The online Chinese ancient book course evaluation system according to claim 8, characterized in that The adjustment direction analysis unit obtains the number of times the keywords in the characteristic subsection appear in the remaining subsections, and determines the adjustment duration of the characteristic subsection in combination with the answering accuracy rate, including, If the number of occurrences is less than the reference number of occurrences, and the answering accuracy rate of the feature section is less than the reference answering accuracy rate, it is determined to adjust the duration of the feature section; The adjustment amount of the feature section duration is negatively correlated with the number of occurrences; The keyword is the knowledge point noun in the feature section.
10. The online course evaluation system for Chinese ancient books according to claim 1, wherein It further includes an evaluation display module, connected to the course evaluation module, for displaying the course evaluation.
