TWI789234B - System for evaluating learning effect - Google Patents

Abstract

A system for evaluating learning effect is adapted for solving the problem that the conventional teaching platform lacks an objective mechanism for evaluating learning effect. The system comprises a teaching platform, an operation module, a recoding module, an action analyzing module. The teaching platform has a pre-established question database having at least one question. Each of the at least one question has a first preset number of actions and a second preset number of actions. The operation module is adapted for a user to perform a responding behavior. The recording module is adapted to acquire a responding behavior record. The action analyzing module is adapted to transform the responding behavior record into a number of responding actions. An acting index can be calculated through an action analyzing standard defined by the first preset number of actions, the second preset number of actions and the number of responding actions.

Description

Learning Effect Evaluation System

The present invention relates to a learning effect evaluation system, in particular to a learning effect evaluation system for learning program code writing.

With the development of science and technology and the transformation of educational concepts, independent learning has indeed become the mainstream trend of current education, and with the development of science and technology, the convenience and accessibility of independent learning has been further deepened with the use of distance network teaching platforms; among them , in many learning processes, it is often necessary for an instructor to give appropriate feedback according to the learner's learning situation in real time, so as to deepen the learner's depth of learning; however, the learning teaching platform often only provides teaching materials, test questions and The standard answers to the quiz questions only use the learners' answering scores as the basis for learning effect evaluation, and lack an objective learning effect evaluation system or mechanism, so that learners or instructors cannot immediately detect learners' learning status and give Appropriate feedback.

In view of this, there is still a need to improve the learning effect evaluation system.

In order to solve the above problems, the purpose of the present invention is to provide a learning effect evaluation system, which can provide users or managers with objective indicators about the users' learning, as a reference for learning adjustments.

The next object of the present invention is to provide a learning effect evaluation system through which The relevant analysis of the user's answer or answering behavior is used as a reference for judging whether the user plagiarized.

The elements and components described throughout the present invention use the quantifier "a" or "an" only for convenience and to provide the usual meaning of the scope of the present invention; in the present invention, it should be interpreted as including one or at least one, and singular The notion of also includes the plural unless it is obvious that it means otherwise.

The term "coupling" mentioned throughout the present invention includes electrical and/or signal direct or indirect connection, which can be selected by those skilled in the art according to usage requirements.

The "Computer" mentioned throughout the present invention refers to various data processing devices with specific functions and implemented by hardware or hardware and software, especially with a processor to process and analyze information and/or generate correspondence Control information, such as: server, virtual machine, desktop computer, notebook computer, tablet computer or smart phone, etc., can be understood by those with ordinary knowledge in the technical field of the present invention.

The "character" mentioned throughout the present invention includes at least a single character (which can be Chinese, English or other languages), a single number, and a single symbol.

The "command" mentioned throughout the present invention refers to the functional effects produced by specific key combinations (for example, using the keyboard or mouse left and right clicks) or specific operations in various operating systems.

The learning effect evaluation system of the present invention includes: a teaching platform with a pre-established question database, the pre-established question database has at least one test question, and each of the at least one test question has a first preset action number and a second The preset number of actions, the value of the second preset number of actions is greater than the value of the first preset number of actions; an operation module that provides one of the at least one quiz question for a user to perform an answering action, in An answer result is formed after the answering action is completed; the answering action may be composed of at least one character and at least one instruction, or the answering action is an empty set; The answering result is composed of at least one character, or the answering result is an empty set; a recording module starts a recording program when the answering behavior is triggered to record the answering behavior; ends after the answering behavior is completed The recording program obtains an answering action record from the recording program; an action analysis module converts the answering action record into an answering action number, and calculates an action index through an action analysis standard, the action analysis standard is determined by Defined by the relationship between the first preset action number, the second preset action number and the answering action number.

Accordingly, the learning effect evaluation system of the present invention can effectively evaluate the number of actions in the answering behavior through the action analysis module to calculate the action index of the user, and can achieve an objective evaluation of the user's ability to answer the test questions. The effect of answering skill and familiarity.

Wherein, the action analysis module can convert the answering action record into the answering action number through a conversion standard. In the conversion standard, each character and/or each instruction in the answering action record is counted as one The number of actions, the answer action number is defined as the sum of these action numbers. In this way, the motion analysis module can accurately evaluate the number of motions in the answering behavior, and achieve an objective and accurate evaluation of the user's answering skills and familiarity with the test questions.

其中，Ac：用以表示該動作指標；as：用以表示該作答動作數；a1：用以表示該第一預設動作數；a2：用以表示該第二預設動作數。如此，由該動作分析標準公式，可將該使用者針對所進行的測驗題的動作數量化為一動作指標，可達成客觀且精確評估該使用者對於該測驗題的作答技巧與熟悉程度的功效。 Among them, the formula of the action analysis standard can be:

Among them, Ac : used to indicate the action index; as: used to indicate the answering action number; a1: used to indicate the first preset action number; a2: used to indicate the second preset action number. In this way, according to the standard formula of action analysis, the user's action for the test question can be quantified into an action index, which can achieve an objective and accurate evaluation of the user's answering skills and familiarity with the test question. .

Wherein, each of the at least one test question can have a first preset time and a second preset time, and the value of the second preset time is greater than the value of the first preset time; the record of the recording module The program records an answer time to obtain an answer time record; a time analysis module, the The answering time record is obtained as an answering time, and a time indicator is calculated through a time analysis criterion defined by the relationship between the first preset time, the second preset time and the answering time. In this way, the time analysis module can accurately evaluate the number of hours in the answering time, and can achieve the effect of objectively and accurately evaluating the user's answering speed and familiarity with the test question.

其中，Tc：用以表示該時間指標；ts：用以表示該作答時間；t1：用以表示該第一預設時間；t2：用以表示該第二預設時間。如此，由該時間分析標準公式，可將該使用者針對所進行的測驗題的作答時間量化為一時間指標，可達成客觀且精確評估該使用者對於該測驗題的作答速度與熟悉程度的功效。 Wherein, the formula of the time analysis standard can be:

Wherein, Tc: used to represent the time index; ts: used to represent the answering time; t1: used to represent the first preset time; t2: used to represent the second preset time. In this way, according to the time analysis standard formula, the user's answering time for the test question can be quantified as a time index, which can achieve an objective and accurate evaluation of the user's answering speed and familiarity with the test question. .

Wherein, the learning effect evaluation system may further include a comprehensive analysis module, the comprehensive analysis module calculates a comprehensive index through a comprehensive analysis standard, and the comprehensive analysis standard is defined by the relationship between the action index and the time index. In this way, through the above action index, time index and comprehensive index, a quantitative standard can be provided to comprehensively evaluate the user's learning advantages, which can be used as a reference to guide the user to adjust the learning direction.

Wherein, the definition of the comprehensive analysis standard is: in the case where one of the action index and the time index is greater than a first threshold, and the other is not less than a second threshold, the comprehensive index is defined as a first threshold. Definition; when one of the action index and the time index is less than the second threshold and the other is not less than the first threshold, or neither the action index nor the time index is greater than the first threshold and not less than the second threshold, the comprehensive index is defined as a second definition; when one of the action index and the time index is less than the second threshold, and the other is not greater than the first threshold In some cases, the comprehensive index is defined as a third definition; the first threshold is greater than the second threshold, and the first definition, the second definition and the third definition are different from each other. In this way, the first definition, the second definition, and the third definition of the comprehensive index can be defined through the relationship between the above-mentioned action index, time index, and comprehensive index, and the first threshold and the second threshold, so as to achieve The effectiveness of the user's comprehensive performance is objectively summarized through quantitative methods.

Wherein, each of the at least one test question has a preset answer, and the preset answer is composed of several characters; the learning effect evaluation system also has a similarity comparison module, and the similarity comparison module uses A similarity analysis method is used to analyze the similarity between the answer result of the user and the preset answer of the at least one test question; the similarity analysis method includes a syntax tree analysis method, a suffix tree analysis method, a At least one of a parse tree analysis method, a longest common word analysis method, and a word frequency analysis method. In this way, the similarity between the preset answer and the answer result can be analyzed through the similarity comparison module, which can be used as a reference for judging whether the user has plagiarized.

Wherein, in the state where the action index is calculated as 0, the similarity comparison module is activated to analyze the similarity. In this way, the similarity comparison module can be activated only in specific circumstances to analyze the similarity as a reference for judging whether the user has plagiarized. In addition to increasing the credibility of judging whether plagiarism is possible, it can also reduce system operation. resource.

1: Teaching platform

2: Operation module

3: Record module

4: Motion analysis module

5: Time analysis module

6: Comprehensive analysis module

7: Similarity analysis module

[Fig. 1] A schematic diagram of the system architecture of a preferred embodiment of the present invention.

In order to make the above-mentioned and other objects, features and advantages of the present invention more obvious and understandable, the preferred embodiments of the present invention are specifically cited below, and are described in detail in conjunction with the accompanying drawings; in addition, the same symbols are marked in different drawings are considered the same, and their descriptions will be omitted.

Please refer to shown in Figure 1, which is a better implementation of the learning effect evaluation system of the present invention The embodiment includes a teaching platform 1, an operation module 2, a recording module 3, a movement analysis module 4 and/or a time analysis module 5, and preferably further includes a comprehensive analysis module 6 And/or a similarity comparison module 7.

The teaching platform 1 is executed on a computer, and has a pre-established question database 11, and the pre-established question database 11 has at least one test question. Optionally, each of the at least one test question has a first preset action number a1 and a second preset action number a2, and the value of the second preset action number a2 is greater than the value of the first preset action number a1 ; Optionally, each of the at least one test question has a first preset time t1 and a second preset time t2, and the value of the second preset time t2 is greater than the value of the first preset time t1; Optional Preferably, each of the at least one quiz question has a default answer.

The operation module 2 is coupled with the teaching platform 1, and is used to provide one of the at least one test question for a user to perform an answering action, and form an answering result after the answering action is completed. The operation module 2 includes a display device and an input device, the display device is used to provide the user with a visual interface, for example, it can display the information of the at least one test question, and allow the user to view its answer information; the input device is used to provide the user with input information/response behavior, so that the input information can be displayed on the display device. In one example, the operation module 2 can be integrated with the computer of the teaching platform 1; in another example, the operation module 2 can be separated from the computer of the teaching platform 1 in configuration. device, such as another computer.

Wherein, in terms of the type of data structure, the answering behavior is composed of at least one character and at least one command, or the answering behavior is an empty set; the answering result is composed of at least one character composed, or the answer result is an empty set; the default answer is composed of multiple characters. Wherein, the definition of the character includes a single character (which can be Chinese, English or other languages), a single number, a single symbol, etc.; the command refers to a functional command in the operating system to which it belongs, especially a text input Functional commands in the operating environment of editing and editing, for example, can be copy commands (such as pressing the ctrl key and the c key of the keyboard at the same ^time ) and pasting commands (such as pressing the Press the ctrl key and the v key of the keyboard) or delete commands (such as pressing the delete key or the backspace key), etc.

The recording module 3 starts a recording program when the answering behavior is triggered to record the answering behavior and/or an answering time; after the answering behavior is completed, the recording program is terminated, and an answering behavior record and an answering behavior record are obtained from the recording program. /or a response time record. For example, when the answering behavior is triggered, it may be when the user answers for the first time (such as inputting any information through the input device), or it may be when the user performs a triggering behavior (such as pressing a button with the meaning of starting and When an analog button is displayed on the screen of the display device), the recording program is started; after the answering behavior is completed, it may be that the user does not answer within a preset time after the answering behavior is triggered, or It may be that the user performs an end action (for example, presses another simulated button which has an end meaning and is displayed on the screen of the display device). Preferably, the answering behavior record is a record of all characters and instructions input by the user during the answering process, and can also be understood as a record of the answering behavior; the answering time record is the user's The total time spent in answering the input.

The action analysis module 4 converts the answering action record into an answering action number as, and calculates an action index Ac through an action analysis standard. The action analysis standard is composed of the first preset action number a1, the second preset Suppose the relationship between the action number a2 and the answering action number as is defined. Specifically, the action analysis module 4 converts the answering action record into the answering action number through a conversion standard. In the conversion standard, each character and/or each command in the answering action record is counted is an action number, the answer action number as is defined as the sum of these action numbers.

其中，as表示該作答動作數，特別是用於表示該使用者在一測驗題中作答時輸入的每一字元及/或每一指令係計量為一動作數；a1表示該第一預設動作 數，特別是用於表示完成該測驗題的最少合理動作數；a2表示該第二預設動作數，特別是用於表示完成該測驗題的最大合理動作數。較佳的，該第二預設動作數a2的數值是該第一預設動作數a1的數值的1.2倍以上，前述預設動作數之間的數值倍數的調整可以該第一預設動作數a1的數值的0.1倍作為調整區間。 Preferably, the formula of the action analysis standard is:

Wherein, as represents the number of answering actions, especially used to indicate that each character and/or each command input by the user when answering a test question is counted as an action number; a1 represents the first preset The number of actions is especially used to indicate the minimum reasonable number of actions to complete the test question; a2 indicates the second preset number of actions, especially used to indicate the maximum reasonable number of actions to complete the test question. Preferably, the value of the second preset action number a2 is more than 1.2 times the value of the first preset action number a1, and the adjustment of the numerical multiple between the aforementioned preset action numbers can be adjusted by the first preset action number 0.1 times the value of a1 is used as the adjustment interval.

In this way, when the answering action number as is less than the first preset action number a1 representing the minimum reasonable action number, the calculated action index Ac is 0, indicating that the user has unreasonable answering behavior during the answering process, For example, plagiarism is the act of copying and pasting part or all of the answers, which greatly and unreasonably reduces the value of the answer action number as. When the answer action number as is not less than the first preset action number a1 and not greater than the second preset action number a2, the action index Ac can be calculated according to the formula of the above-mentioned action analysis standard, so when the action index The larger the value of Ac, that is, the fewer the user's answering actions in the quiz question (but not less than the first preset action number a1), it means that the user is more familiar with the quiz question, The test questions can be completed with a relatively small number of movements. In other words, through the calculation of the action index Ac, the user and/or a manager of the teaching platform (for example, a teacher) can control the user's familiarity with the quiz questions, especially can reflect the user's The degree of answering skills (especially for the field of programming) can also detect whether the user has unreasonable answering behavior.

The time analysis module 5 obtains an answer time from the answer time record, and calculates a time indicator Tc through a time analysis standard, which is the first preset time t1, the second preset time t2 And the relationship between the answer time ts is defined.

其中，ts表示該作答時間，特別是用於表示該使用者在一測驗題中所花費的 總時間；t1表示該第一預設時間，特別是用於表示完成該測驗題的最少合理時間；t2表示該第二預設時間，特別是用於表示完成該測驗題的最大合理時間。上述時間較佳是包含實際輸入的作答時間與思考過程的停留時間。較佳的，該第二預設時間t2的數值是該第一預設時間t1的數值的1.2倍以上，前述預設時間之間的數值倍數的調整可以該第一預設時間t1的數值的0.1倍作為調整區間。 Preferably, the formula of the time analysis standard is:

Among them, ts represents the answering time, especially used to represent the total time spent by the user on a test question; t1 represents the first preset time, particularly used to represent the minimum reasonable time for completing the test question; t2 represents the second preset time, especially used to represent the maximum reasonable time for completing the quiz question. The above-mentioned time preferably includes the answering time of the actual input and the dwell time of the thinking process. Preferably, the value of the second preset time t2 is more than 1.2 times the value of the first preset time t1, and the adjustment of the multiple of the value between the aforementioned preset times can be adjusted by the value of the first preset time t1 0.1 times as the adjustment interval.

In this way, when the answering time ts is less than the first preset time t1 representing the least reasonable time, the calculated time index Tc is 0, indicating that the user has unreasonable answering behavior during the answering process, such as putting Copying and pasting some or all of the answers results in a substantial and unreasonable reduction in the answer time ts. When the answering time ts is not less than the first preset time t1 and not greater than the second preset time t2, the time indicator Tc can be calculated according to the formula of the above-mentioned time analysis standard, so when the value of the time indicator Tc The larger the value, the less time the user takes to answer the test question (but not less than the first preset time t1), which means that the user is more familiar with the test question and can use less time to complete the quiz. In other words, through the calculation of the time index Tc, the user and/or a manager of the teaching platform (for example, a teacher) can control the user's familiarity with the test questions, especially can reflect the user's The speed of thinking and answering can also detect whether the user has unreasonable answering behavior.

The comprehensive analysis module 6 determines a comprehensive index P through a comprehensive analysis standard defined by the relationship between the action index Ac and the time index Tc. Preferably, the comprehensive analysis criteria can be defined in Table 1 below.

In other words, in the example in Table 1, the definition of the comprehensive analysis criteria can be listed as follows:

(1) When one of the action index Ac and the time index Tc is greater than a first threshold (such as the value of 0.6 in Table 1), and the other is not less than a second threshold (such as the value of 0.3 in Table 1 ), the comprehensive index P is defined as a first value or a first definition; optionally, the first value may represent the connotation of the first definition.

(2) In the case where one of the action index Ac and the time index Tc is less than the second threshold and the other is not less than the first threshold, or neither the action index Ac nor the time index Tc In the case of being greater than the first threshold and not less than the second threshold, the comprehensive index P is defined as a second value or a second definition; optionally, the second value may represent the connotation of the second definition.

(3) In the case where one of the action index Ac and the time index Tc is less than the second threshold and the other is not greater than the first threshold, define the comprehensive index P to be a third value or a first threshold Three definitions; optionally, the third numerical value may represent the connotation of the third definition.

Specifically, in the example of Table 1, in the case where the first definition of the comprehensive index P is "high", it means that the user's answering skills (for the test questions) in learning (especially for the test questions) At least one of the action index Ac) and the answering speed (corresponding to the time index Tc) meets the excellent performance level (corresponding to the first threshold), and neither of them is lower than a performance level that needs to be strengthened (corresponding to the second threshold). Threshold), therefore, in this case, the comprehensive index P can reflect that the user has a good learning effect. In this way, the user or the manager can understand the user's advantages in learning and better performance through the above-mentioned action index Ac, time index Tc and comprehensive index P, so as to encourage and affirm the user's Learning performance, and serve as a reference for the manager to guide the user.

Similarly, in the example of Table 1, in the case where the second definition of the comprehensive index P is "normal", it means that the user has the following two situations in learning:

Situation 1: One of answering skill and answering speed is below the level of performance that needs to be strengthened, but the other meets the highest level of performance. In this case, although the user's one index of speed or skill is below the performance level of need, because the other index is above the level of excellent performance, and based on the characteristics of different users, it is determined by the The comprehensive index P evaluates the general learning effect of the user. In this way, the user or the manager can understand the user's advantages in learning and the performance that needs to be specially strengthened through the above-mentioned action index Ac, time index Tc and comprehensive index P. In addition to encouraging and affirming the user's Especially excellent learning performance, and remind the user or the manager that they can use the inferior indicators as the direction to strengthen and improve.

Situation 2: Neither the answering skills nor the answering speed is lower than the level of performance that needs to be strengthened, nor has it reached the level of excellent performance. In this case, the general learning effect of the user is evaluated by the comprehensive index P. In this way, the user or the manager can understand the average performance of the user in learning through the above-mentioned action index Ac, time index Tc, and comprehensive index P, and can serve as an encouragement for the user to improve himself. The reference, or the reference for the manager to guide the user to improve.

Similarly, in the example of Table 1, in the case where the third definition of the comprehensive index P is "low", it means that at least one of the user's answering skills and answering speed in learning is lower than low. If the performance level needs to be strengthened, and the other one does not exceed the excellent performance level, therefore, in this case, the comprehensive index P can reflect that the user is lagging behind in learning performance. In this way, the user or the manager can use the above-mentioned action index Ac, time index Tc, and comprehensive index P to understand the user's disadvantages in learning and possible better performances in the disadvantages, so that the user can perceive Take their own disadvantages as an opportunity for improvement, and remind the manager to give enhanced guidance or care especially for such users.

Based on the above description of the comprehensive index P in the example of Table 1, it can be seen that through the calculation of the above-mentioned action index Ac, time index Tc and comprehensive index P, the user's answering skills, answering speed and comprehensive performance in learning can be displayed. Performance, especially to help the user or manager understand the user's strengths and weaknesses, as a reference for rewards, encouragement, encouragement and other guidance programs, so as to improve the user's learning performance.

Wherein, the first threshold of the action index Ac and the time index Tc may be unequal, and the second threshold of the action index Ac and the time index Tc may also be unequal; in the case of corresponding to different test questions, The first threshold values of the action index Ac and the time index Tc of each test question may be different from each other, and the second threshold values of the action index Ac and the time index Tc of each test question may also be unequal to each other of. In this way, different standards of each test question can be reflected to achieve a more appropriate evaluation of the user's learning effect.

Wherein, the first threshold of the action index Ac and the time index Tc may be unequal, and the second threshold of the action index Ac and the time index Tc may also be unequal; in the case of corresponding to different test questions, The first threshold values of the action index Ac and the time index Tc of each test question may be different from each other, and the second threshold values of the action index Ac and the time index Tc of each test question may also be unequal to each other of. In this way, different standards of each test question can be reflected to achieve a more appropriate evaluation of the user's learning effect.

The similarity comparison module 7 compares the default answer and the answer result through a similarity analysis method to analyze a degree of similarity between the answer result of the user and the default answer of the at least one quiz question; Especially in the situation where the action index Ac or the time index Tc of the user is 0, which means that the number of the user's answering actions is too small or the answering speed is too fast, the similarity comparison module 7 is activated to compare Analyzing the similarity between the default answer and the answer result is used as a reference for judging whether the user has plagiarized. Wherein, the similarity analysis method can use at least one of known code plagiarism detection techniques, preferably using grammar Syntax Tree analysis, Suffix Tree analysis, Parsing Tree analysis, Longest Common Word analysis, Term Frequency analysis, etc. Optionally, the similarity comparison module 7 can analyze whether the command used in the answer behavior record has a specific command and a usage situation of the specific command, and compare it with the answer result to determine the specific command. The relationship between the use of the instruction and the answer result is used as a reference basis for whether the user has plagiarized: preferably, the specific instruction refers to the user's use of "copy" and "paste" instruction.

To sum up, the learning effect evaluation system of the present invention can evaluate the user's answering skills by analyzing the action indicators through the action analysis module, or can evaluate the user's answering speed by analyzing the time indicators through the time analysis module, or can evaluate the user's answering speed through comprehensive analysis. The module analyzes comprehensive indicators based on action indicators and time indicators to evaluate the user's overall learning effect, and may use the similarity analysis module to analyze the similarity between the answer result and the default answer as a reference for whether the user plagiarized. In this way, the learning effect evaluation system of the present invention can evaluate the learning effect of the user according to the above-mentioned one module or at least one index, and can achieve the effect of effectively evaluating the user's learning effect based on objective factors.

Although the present invention has been disclosed by using the above-mentioned preferred embodiments, it is not intended to limit the present invention. It is still within the scope of this invention for anyone skilled in the art to make various changes and modifications relative to the above-mentioned embodiments without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall include all changes within the meaning and equivalent scope described in the appended scope of application. In addition, when the above-mentioned several examples or preferred forms can be combined, the present invention includes any combination of implementation forms.

1: Teaching platform

2: Operation module

3: Record module

4: Motion analysis module

5: Time analysis module

6: Comprehensive analysis module

7: Similarity analysis module

Claims (9)

A learning effect evaluation system, comprising: a teaching platform with a pre-established question database, the pre-established question database has at least one test question, and each of the at least one test question has a first preset number of actions and a second preset number of actions Action number, the value of the second preset action number is greater than the value of the first preset action number; an operation module provides one of the at least one test question for a user to perform an answering action, and the answering An answer result is formed after the action is completed; the answer action is composed of at least one character and at least one instruction, or the answer action is an empty set; the answer result is composed of at least one character, Or the answering result is an empty collection; a recording module starts a recording program when the answering behavior is triggered to record the answering behavior; ends the recording program after the answering behavior is completed, and obtains an answer from the recording program Behavior records; and an action analysis module, which converts the answering action records into an answering action number, and calculates an action index through an action analysis standard. The action analysis standard is composed of the first preset action number, the second Defined by the relationship between the default action number and the answer action number. The learning effect evaluation system of claim 1, wherein the action analysis module converts the answering behavior record into the answering action number through a conversion standard, and in the conversion standard, each character in the answering behavior record And/or each instruction is counted as an action number, and the answer action number is defined as the sum of the action numbers. The learning effect evaluation system according to any one of claim 1, wherein the formula of the movement analysis standard is:

Among them, Ac : used to indicate the action index; as: used to indicate the answering action number; a1: used to indicate the first preset action number; a2: used to indicate the second preset action number. The learning effect evaluation system according to claim 1, wherein each of the at least one test question has a first preset time and a second preset time, and the value of the second preset time is greater than the value of the first preset time ; The recording program of the recording module records an answer time to obtain an answer time record; a time analysis module obtains the answer time record as an answer time, and calculates a time index through a time analysis standard, the The time analysis standard is defined by the relationship between the first preset time, the second preset time and the answering time. Such as the learning effect evaluation system of claim 4, wherein the formula of the time analysis standard is:

Wherein, Tc: used to represent the time indicator; ts: used to represent the answering time; t1: used to represent the first preset time; t2: used to represent the second preset time. Such as the learning effect evaluation system of claim 4, further comprising a comprehensive analysis module, the comprehensive analysis module calculates a comprehensive index through a comprehensive analysis standard, and the comprehensive analysis standard is defined by the relationship between the action index and the time index . The learning effect evaluation system according to claim 6, wherein the comprehensive analysis standard is defined as: when one of the action index and the time index is greater than a first threshold, and the other is not less than a second threshold , define the comprehensive index as a first definition; in the case where one of the action index and the time index is less than the second threshold, and the other is not less than the first threshold, or in the case of the action index and the time index In the case that the time index is not greater than the first threshold and not less than the second threshold, the composite index is defined as a second definition; when one of the action index and the time index is less than the second threshold, and wherein In the case that the other is not greater than the first threshold, the comprehensive index is defined as a third definition; the first threshold is greater than the second threshold, the first definition, The second definition and the third definition are different from each other. The learning effect evaluation system according to any one of claims 1 to 7, wherein each of the at least one test question has a preset answer, and the preset answer is composed of several characters; the learning effect evaluation system also has a A similarity comparison module, the similarity comparison module uses a similarity analysis method to analyze the similarity between the answer result of the user and the default answer of the at least one test question; the similarity analysis The method includes at least one of a syntax tree analysis method, a suffix tree analysis method, a parse tree analysis method, a longest common word analysis method, and a word frequency analysis method. Such as the learning effect evaluation system of claim 3, wherein, each of the at least one test question has a preset answer, and the preset answer is composed of several characters; the learning effect evaluation system also has a similarity comparison module, the similarity comparison module uses a similarity analysis method to analyze the similarity between the answer result of the user and the default answer of the at least one quiz question; when the action index is calculated as 0 In the state of , activate the similarity comparison module to analyze the similarity.

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