CN115689824B - Test question dynamic grading system and grading method based on intelligent class - Google Patents
Test question dynamic grading system and grading method based on intelligent class Download PDFInfo
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Abstract
The invention relates to the field of big data analysis, in particular to a test question dynamic grading system and a grading method based on an intelligent classroom, and the test question dynamic grading system based on the intelligent classroom comprises the following steps: the information acquisition unit is used for acquiring answer information of a user; the answer information of the user comprises facial expression analysis scores of the user, answer time of the user and user scores; the central control unit is used for judging how to dynamically classify the test questions according to the comparison result of the answer information of the user acquired by the information acquisition unit and the corresponding preset standard; the cloud platform comprises a question repository for storing test questions and an information repository for storing user information; the manual processing unit is connected with the central control unit and used for controlling the dynamic grading system through the central control unit; the invention can judge the difficulty of practice problems more accurately, and further improves the judging efficiency of the invention for dynamic classification of practice problems.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a test question dynamic grading system and a grading method based on an intelligent classroom.
Background
Along with the rapid development of science and technology, perfect combination of computer technology and education informatization is realized, most students can learn on a network at present, and then electronic practice problems are brought on, so that the students can acquire a large number of practice problems and learn the practice problems only through mobile phones or computers without using paper practice problems, however, how to accurately classify the practice problems is a focus of attention of people at present, and the difficulty obtained by the method can deviate from the evaluation of manual experts under most conditions due to subjectivity of the manual classification. Therefore, it is highly desirable to provide a method for determining the type of the mathematical test question difficulty to ensure the accuracy of the evaluation of the test question difficulty type.
Chinese patent publication No. CN111882217a discloses a method for calculating the difficulty coefficient of a test question in a question bank, comprising the following steps: setting the score of the test question with the acquired difficulty coefficient in a test question library as K score, and converting the actual score of a learner who has done the test question into a score X of the test question library; calculating a difficulty coefficient Y of the test question; calculating a difficulty coefficient Yn of each test question in the test question library for a specific object in a specific time period; screening test questions made by the first learner or the group where the first learner is located in the test question library, and calculating an average score rate D; calculating the total score G of the questions made by the first learner or the community of the first learner in the corresponding difficulty interval in the question library; and calculating a relative score rate H, and calculating a difficulty coefficient N value of the test questions in the difficulty interval of the test questions A for the first learner or the group of the first learner. Therefore, the method for calculating the test question difficulty coefficient in the question bank has the following problems: the difficulty information judgment error is large because the judgment process cannot be correspondingly regulated according to the actual condition of the student when answering questions.
Disclosure of Invention
Therefore, the invention provides a test question dynamic grading system and a grading method based on an intelligent classroom, which are used for solving the problem that in the prior art, the judgment process cannot be correspondingly regulated according to the actual situation when students answer questions, so that the judgment error of difficulty information is large.
In order to achieve the above object, the present invention provides a test question dynamic classification system based on intelligent class, comprising:
the information acquisition unit is arranged at the user end and used for acquiring answer information of the user; the answer information of the user comprises facial expression analysis scores, user answer time and user scores of the user aiming at single test questions;
the central control unit is connected with the information acquisition unit and is used for dynamically grading the test questions according to the comparison result of the answer information of the user acquired by the information acquisition unit and the corresponding preset standard, judging whether the facial expression analysis score of the user is recorded into the judgment standard of the dynamic grading of the test questions and judging whether the answer time of the user is effective;
the cloud platform is connected with the central control unit and comprises a question repository for storing test questions and an information repository for storing user information;
and the manual processing unit is connected with the central control unit and used for controlling the dynamic grading system through the central control unit.
Further, the information acquisition unit is provided with a facial recognition module, and is used for calculating a facial expression analysis score aiming at a single test question in the answer process of a user and the expression duration T of the facial expression analysis score obtained by the user in the answer process and transmitting the T to the central control unit, and the central control unit compares the T with a preset standard to judge whether the facial expression analysis score of the user is recorded in a judgment standard of dynamic classification of the test question; the central control unit is provided with a standard duration T0 and a standard facial expression analysis score X0, wherein, 0 is less than T1,0 is less than X0,
if T is less than T0, the central control unit judges that the facial expression analysis score of the user is recorded into the judgment standard of the dynamic classification of the test questions and simultaneously records the facial expression analysis score of the user as X;
if T0 is less than or equal to T, the central control unit judges that the facial expression analysis score of the user is not recorded in the judgment standard of the dynamic classification of the test questions and sets the facial expression analysis score of the user to X0.
Further, when the user answers are completed, the information acquisition unit transmits the facial expression analysis score X, the user answer time Y, the user score Z and the formula number Q of the simplest answer of the test question to the central control unit, the central control unit calculates the difficulty coefficient S of the test question for a single user in a weighted summation mode, and S=Xxα 1+Y ×α2+ (Zmax-Z) xα 3+Q ×α4 is set, wherein Zmax is the highest score of the test question, α1 is a first weight coefficient, α2 is a second weight coefficient, α3 is a third weight coefficient, α4 is a fourth weight coefficient, and α1+α2+α3+α4=1; and the central control unit transmits the single user difficulty coefficient of the user to the cloud platform for storage when the calculation of the single user difficulty coefficient of the test question is completed.
Further, when the test questions are classified by the test question dynamic classification system based on the intelligent class, the central control unit sequentially extracts the difficulty coefficient of the test questions stored in the cloud platform for each user and calculates the difficulty coefficientAverage difficulty coefficient of the test questionThe central control unit marks the difficulty coefficient of the test question to the ith user in the cloud platform as Si, i=1, 2, 3..n, wherein n is the total number of the difficulty coefficients of a single user in the cloud platform, and the difficulty coefficient is set for the ith user>
Further, when the calculation of the average difficulty coefficient of the test question is completed, the central control unit compares the difficulty coefficient S of the test question with a preset standard to judge the difficulty level Vi of the test question, wherein i=1, 2,3,4, and the difficulty of the test question is gradually increased from V1 to V4; the central control unit is provided with a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03, wherein S01 is more than 0 and less than S02 and less than S03,
if it isThe central control unit judges the difficulty level of the test question as V1;
if it isThe central control unit judges the difficulty level of the test question as V2;
if it isThe central control unit judges that the difficulty level of the test question is V3;
if it isThe central control unit judges that the difficulty level of the test question is V4.
Further, the central control unit compares the user answer time Y detected by the information acquisition unit with a preset standard when calculating a single user difficulty coefficient S of the test question so as to judge whether the user answer time is effective or not; the central control unit is provided with a first preset answering time length Y1, a second preset answering time length Y2 and a time length adjusting coefficient gamma 1, wherein Y1 is more than 0 and less than Y2, and gamma 1 is more than 0 and less than gamma 1
If Y is less than or equal to Y1, the central control unit judges that the answer time of the user meets a preset standard and the answer time of the user is effective;
if Y1 is more than Y and less than or equal to Y2, the central control unit judges that the user answering time does not accord with a preset standard and sends confirmation information about whether the user answering time is midway away to the user end to judge whether the user answering time is adjusted, if the user is midway away, the central control unit adjusts the user answering time by using gamma 1, the adjusted user answering time is marked as Y ', Y' =Y multiplied by gamma 1 is set, and if the user is not midway away, the central control unit judges that the user answering time of the user is effective and does not need to adjust the user answering time;
if Y2 is less than Y, the central control unit judges that the answer time of the user does not accord with the preset standard, the answer time of the user is invalid, and the central control unit sends reminding information for re-answering the questions to the user terminal.
Further, an information repository in the cloud platform is provided with a first echelon school information repository, a second echelon school information repository and a third echelon school information repository, wherein the historical average score of students stored in each information repository is gradually increased from the first echelon school information repository to the third echelon school information repository; the central control unit respectively compares the difficulty coefficient S of the test question with a preset standard to judge the difficulty level Vi of the test question, and matches the user information of the answer question with the information in the information repository in the cloud platform to judge whether to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03; the central control unit is provided with a first preset regulating coefficient beta 1 and a second preset regulating coefficient beta 2, wherein, beta 1 is more than 0 and less than beta 2,
if the user information is successfully matched with the information in the school information base of the first echelon, the central control unit judges that the difficulty coefficient is higher than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 1, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 1, S02 '=S02 xbeta 1 and S03' =S03×beta 1;
if the user information is successfully matched with the information in the school information base of the second echelon, the central control unit judges that the difficulty coefficient accords with the student capability standard and does not need to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the school information base of the third echelon, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 2, S02 '=S02 xbeta 2 and S03' =S03×beta 2;
and if the user information is not successfully matched with the information in the information repository in the cloud platform, the central control unit transmits the matching failure information to the manual processing unit so as to remind the user of carrying out manual processing.
Further, the cloud platform is in remote communication connection with the central control unit.
Further, the manual processing unit is provided with an audio-visual display screen for displaying the judging information of the central control unit.
The invention provides a test question dynamic grading method based on an intelligent classroom, which comprises the following steps:
step 1, an information acquisition unit acquires answer information of a user;
step 2, the central control unit performs integrated analysis on the answer information acquired by the information acquisition unit to judge whether the information is effective or not and whether a preset standard for judging the information needs to be adjusted or not;
step 3, the central control unit calculates a single user difficulty coefficient S of the test question by using a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test question according to each single user difficulty coefficient of the test question stored in the cloud platform and compares the average difficulty coefficient with a preset standard to judge the difficulty level of the test question.
Compared with the prior art, the invention has the beneficial effects that the central control unit calculates the single user difficulty coefficient of the test question by using a weighted summation mode, and the central control unit adjusts the judging process according to the comparison result of the actual answer information and the preset standard in the answer process of the user, so that the judgment of the difficulty of the exercise problem is more accurate, and the judging efficiency of the invention is further improved.
Further, the information acquisition unit is provided with an expression analysis module for detecting facial expression analysis scores aiming at single test questions and obtaining the duration of expressions of the facial expression analysis scores in the answer process of users, so that the difficulty of the test questions is graded more comprehensively, the judgment accuracy of the difficulty of the test questions is improved, and the judgment efficiency of the invention is further improved.
Further, when the test questions are classified, the central control unit extracts and calculates the average difficulty coefficient of each single user of the test questions stored in the cloud platform, so that the judgment speed is ensured, the judgment accuracy of the difficulty of the test questions is improved, and the judgment efficiency is further improved.
Further, the central control unit judges whether the answer time length of the user does not meet the preset standard, and sends confirmation information about whether the answer time length of the user is separated halfway to the user terminal to judge whether the answer time length of the user is adjusted, so that the problem of misjudgment of the central control unit caused by the separation of the user is avoided, judgment speed is ensured, meanwhile, judgment accuracy of the difficulty of the test questions is improved, and judgment efficiency of the invention is further improved.
Further, the information repository in the cloud platform is provided with the first echelon school information repository, the second echelon school information repository and the third echelon school information repository, so that the problem of misjudgment caused by the fact that the student capability standard does not accord with the difficulty coefficient is avoided, the judgment speed is ensured, meanwhile, the judgment accuracy of the difficulty of the test questions is improved, and the judgment efficiency is further improved.
Further, the central control unit compares the expression duration of the facial expression analysis score obtained by the user with a preset standard to judge whether the facial expression analysis score of the user is recorded with a judgment standard for dynamically grading the test questions, so that the problem of misjudgment of the central control unit is avoided, the judgment speed is ensured, the judgment accuracy of the difficulty of the test questions is improved, and the judgment efficiency of the invention is further improved.
Drawings
FIG. 1 is a schematic diagram of a dynamic classification system for test questions based on intelligent class according to an embodiment of the invention;
FIG. 2 is a flowchart of a method for comparing T with a preset standard by a central control unit to determine whether the facial expression analysis score of the user is recorded in a judgment standard for dynamically grading test questions according to the embodiment of the invention;
fig. 3 is a flowchart of the central control unit comparing the user answer time Y with a preset standard to determine whether the user answer time is valid or not according to the embodiment of the present invention;
fig. 4 is a schematic diagram of a dynamic classification method of test questions based on a smart class according to an embodiment of the invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Fig. 1 is a schematic structural diagram of a test question dynamic classification system based on a smart class according to an embodiment of the present invention, which includes:
the information acquisition unit is arranged at the user end and used for acquiring answer information of the user; the answer information of the user comprises facial expression analysis scores, user answer time and user scores of the user aiming at single test questions;
the central control unit is connected with the information acquisition unit and is used for dynamically grading the test questions according to the comparison result of the answer information of the user acquired by the information acquisition unit and the corresponding preset standard, judging whether the facial expression analysis score of the user is recorded into the judgment standard of the dynamic grading of the test questions and judging whether the answer time of the user is effective;
the cloud platform is connected with the central control unit and comprises a question repository for storing test questions and an information repository for storing user information;
and the manual processing unit is connected with the central control unit and used for controlling the dynamic grading system through the central control unit.
Referring to fig. 2, a flowchart of the embodiment of the invention is shown, in which a central control unit compares T with a preset standard to determine whether the facial expression analysis score of the user is recorded in a test question dynamic classification judgment standard, the information acquisition unit is provided with a facial recognition module for calculating the facial expression analysis score of a single test question in the answer process of the user and the expression duration T of the facial expression analysis score obtained by the user in the answer process of the user, and transmitting T to the central control unit, and the central control unit compares T with the preset standard to determine whether the facial expression analysis score of the user is recorded in the test question dynamic classification judgment standard; the central control unit is provided with a standard duration T0, a standard facial expression analysis score X0, wherein t0=5 min, x0=5,
if T is less than T0, the central control unit judges that the facial expression analysis score of the user is recorded into the judgment standard of the dynamic classification of the test questions and simultaneously records the facial expression analysis score of the user as X;
if T0 is less than or equal to T, the central control unit judges that the facial expression analysis score of the user is not recorded in the judgment standard of the dynamic classification of the test questions and sets the facial expression analysis score of the user to X0.
Specifically, when the user answers are completed, the information acquisition unit transmits a facial expression analysis score X of the user, a user answer time Y, a user score Z and the formula number Q of the simplest answer of the test question to the central control unit, the central control unit calculates a difficulty coefficient S of the test question for a single user in a weighted summation mode, and S=Xxα 1+Y ×α2+ (Zmax-Z) xα 3+Q ×α4 is set, wherein Zmax is the highest score of the test question, α1 is a first weight coefficient, α2 is a second weight coefficient, α3 is a third weight coefficient, α4 is a fourth weight coefficient, and α1+α2+α3+α4=1; and the central control unit transmits the single user difficulty coefficient of the user to the cloud platform for storage when the calculation of the single user difficulty coefficient of the test question is completed.
Specifically, when the test questions are classified by the test question dynamic classification system based on the intelligent class, the central control unit sequentially extracts the difficulty coefficient of the test questions stored in the cloud platform for each user and calculates the test questionsAverage difficulty coefficient of test questionsThe central control unit marks the difficulty coefficient of the test question to the ith user in the cloud platform as Si, i=1, 2, 3..n, wherein n is the total number of the difficulty coefficients of a single user in the cloud platform, and the difficulty coefficient is set for the ith user>
Specifically, the central control unit calculates the difficulty coefficient of the test question when the average difficulty coefficient of the test question is calculatedRespectively comparing the difficulty level Vi with a preset standard to judge the difficulty level Vi of the test question, wherein i=1, 2,3 and 4, and the difficulty of the test question is gradually increased from V1 to V4; the central control unit is provided with a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03, wherein S01=3, S02=5, S03=7,
if it isThe central control unit judges the difficulty level of the test question as V1;
if it isThe central control unit judges the difficulty level of the test question as V2;
if it isThe central control unit judges that the difficulty level of the test question is V3;
if it isThe central control unit judges that the difficulty level of the test question is V4.
Please refer to fig. 3, which is a flowchart of the embodiment of the present invention, wherein the central control unit compares a user answer time Y with a preset standard to determine whether the user answer time is valid, and the central control unit compares the user answer time Y detected by the information acquisition unit with the preset standard to determine whether the user answer time is valid when calculating a single user difficulty coefficient S of a test question; the central control unit is provided with a first preset answer time length Y1, a second preset answer time length Y2 and a time length adjusting coefficient gamma 1, wherein y1=10min, y2=15min and gamma 1=0.8
If Y is less than or equal to Y1, the central control unit judges that the answer time of the user meets a preset standard and the answer time of the user is effective;
if Y1 is more than Y and less than or equal to Y2, the central control unit judges that the user answering time does not accord with a preset standard and sends confirmation information about whether the user answering time is midway away to the user end to judge whether the user answering time is adjusted, if the user is midway away, the central control unit adjusts the user answering time by using gamma 1, the adjusted user answering time is marked as Y ', Y' =Y multiplied by gamma 1 is set, and if the user is not midway away, the central control unit judges that the user answering time of the user is effective and does not need to adjust the user answering time;
if Y2 is less than Y, the central control unit judges that the answer time of the user does not accord with the preset standard, the answer time of the user is invalid, and the central control unit sends reminding information for re-answering the questions to the user terminal.
Specifically, an information repository in the cloud platform is provided with a first echelon school information repository, a second echelon school information repository and a third echelon school information repository, wherein the historical average score of students stored in each information repository is gradually increased from the first echelon school information repository to the third echelon school information repository; the central control unit respectively compares the difficulty coefficient S of the test question with a preset standard to judge the difficulty level Vi of the test question, and matches the user information of the answer question with the information in the information repository in the cloud platform to judge whether to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03; the central control unit is provided with a first preset adjustment coefficient beta 1 and a second preset adjustment coefficient beta 2, wherein beta 1 = 0.8, beta 2 = 1.2,
if the user information is successfully matched with the information in the school information base of the first echelon, the central control unit judges that the difficulty coefficient is higher than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 1, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 1, S02 '=S02 xbeta 1 and S03' =S03×beta 1;
if the user information is successfully matched with the information in the school information base of the second echelon, the central control unit judges that the difficulty coefficient accords with the student capability standard and does not need to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the school information base of the third echelon, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 2, S02 '=S02 xbeta 2 and S03' =S03×beta 2;
and if the user information is not successfully matched with the information in the information repository in the cloud platform, the central control unit transmits the matching failure information to the manual processing unit so as to remind the user of carrying out manual processing.
Specifically, the cloud platform is in remote communication connection with the central control unit.
Specifically, the manual processing unit is provided with an audio-visual display screen for displaying the judging information of the central control unit.
Referring to fig. 4, a schematic diagram of a dynamic classification method of test questions based on a smart class according to an embodiment of the invention is shown, which includes:
step 1, an information acquisition unit acquires answer information of a user;
step 2, the central control unit performs integrated analysis on the answer information acquired by the information acquisition unit to judge whether the information is effective or not and whether a preset standard for judging the information needs to be adjusted or not;
step 3, the central control unit calculates a single user difficulty coefficient S of the test question by using a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test question according to each single user difficulty coefficient of the test question stored in the cloud platform and compares the average difficulty coefficient with a preset standard to judge the difficulty level of the test question.
Example 1
In this embodiment, the information collecting unit detects a facial expression analysis score during a user answering process and a duration t=3min of the expression of the facial expression analysis score obtained by the user during the answering process, at this time, T is less than T0, and the central control unit determines that the facial expression analysis score of the user is recorded in a judgment standard of dynamic classification of the test questions and simultaneously records the facial expression analysis score of the user as X; in this embodiment, the highest score zmax=10 of the exercise questions, the facial expression analysis score x=5 of the user, the user answer time period y=8min, the user score z=8, and the formula number q=3 of the simplest answer of the test questions, where Y < Y1, the central control unit determines that the user answer time period meets the preset standard and the user answer time period of the user is valid, in this embodiment, the user information is successfully matched with the information in the second echelon school information base, the central control unit determines that the difficulty coefficient meets the student capability standard and does not need to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02, and the third preset difficulty coefficient S03, the central control unit calculates the single user difficulty coefficient s=5×0.1+8×0.2+ (10-8) ×0.3+3×0.4=3.9 of the test questions by using a weighted summation method, and the central control unit in this embodiment calculates the average difficulty coefficient of the test questions for each single user stored in the cloud platformAt this time, a->The central control unit judges that the difficulty level of the test question is V2.
Example 2
In this embodiment, the information collecting unit detects a facial expression analysis score during a user answering process and a duration t=2min of an expression of the user obtaining the facial expression analysis score during the answering process, at this time, T is less than T0, and the central control unit determines that the facial expression analysis score of the user is recorded in a judgment standard of dynamic classification of the test questions and simultaneously records the facial expression analysis score of the user as X; in this embodiment, the highest score zmax=10 of the exercise questions, the facial expression analysis score x=6 of the user, the user answer time period y=5 min, the user score z=7, and the formula number q=4 of the simplest answer of the test questions, at this time, Y < Y1, the central control unit determines that the user answer time period accords with a preset standard and the user answer time period of the user is effective, in this embodiment, the user information is successfully matched with the information in the first echelon school information base, the central control unit determines that the difficulty coefficient is higher than the student ability standard, and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02, and the third preset difficulty coefficient S03 by using β1, the adjusted first preset difficulty coefficient is S01', the adjusted second preset difficulty coefficient is S02', the adjusted third preset difficulty coefficient is S03', and s01' ×0.8=2.4, s02 '=5×0.8=4, and s03' =7×0.8=6=6.03 '=6'; the central control unit calculates the single user difficulty coefficient s=6×0.1+5×0.2+ (10-7) ×0.3+4×0.4=4.1 of the test question by using a weighted summation method, and in this embodiment, the central control unit extracts each single user difficulty coefficient of the test question stored in the cloud platform and calculates the average difficulty coefficient of the test questionAt this time, a->The central control unit judges that the difficulty level of the test question is V2.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. Test question dynamic grading system based on wisdom classroom, characterized by comprising:
the information acquisition unit is arranged at the user end and used for acquiring answer information of the user; the answer information of the user comprises facial expression analysis scores, user answer time and user scores of the user aiming at single test questions;
the central control unit is connected with the information acquisition unit and is used for dynamically grading the test questions according to the comparison result of the answer information of the user acquired by the information acquisition unit and the corresponding preset standard, judging whether the facial expression analysis score of the user is recorded into the judgment standard of the dynamic grading of the test questions and judging whether the answer time of the user is effective;
the cloud platform is connected with the central control unit and comprises a question repository for storing test questions and an information repository for storing user information;
the manual processing unit is connected with the central control unit and used for controlling the dynamic grading system through the central control unit;
the information acquisition unit is provided with a facial recognition module which is used for calculating a facial expression analysis score aiming at a single test question in the answering process of a user and the expression duration T of the facial expression analysis score obtained by the user in the answering process and transmitting the T to the central control unit, and the central control unit compares the T with a preset standard to judge whether the facial expression analysis score of the user is recorded in a judgment standard of dynamic classification of the test question; the central control unit is provided with a standard duration T0 and a standard facial expression analysis score X0, wherein, 0 is less than T1,0 is less than X0,
if T is less than T0, the central control unit judges that the facial expression analysis score of the user is recorded into the judgment standard of the dynamic classification of the test questions and simultaneously records the facial expression analysis score of the user as X;
if T0 is less than or equal to T, the central control unit judges that the facial expression analysis score of the user is not recorded with the judgment standard of the dynamic classification of the test questions and sets the facial expression analysis score of the user to X0;
the information acquisition unit transmits a facial expression analysis score X of a user, a user answer time Y, a user score Z and the formula number Q of the simplest answer of the test question to the central control unit when the answer of the user is finished, the central control unit calculates a difficulty coefficient S of the test question for a single user in a weighted summation mode, S=Xxα 1+Y ×α2+ (Zmax-Z) × 3+Q ×α4 is set, wherein Zmax is the highest score of the test question, α1 is a first weight coefficient, α2 is a second weight coefficient, α3 is a third weight coefficient, α4 is a fourth weight coefficient, and α1+α2+α3+α4=1; the central control unit transmits the single user difficulty coefficient of the user to the cloud platform for storage when the calculation of the single user difficulty coefficient of the test question is completed;
when the intelligent class-based test question dynamic grading system grades test questions, the central control unit sequentially extracts the difficulty coefficient of the test questions stored in the cloud platform for each user and calculates the average difficulty coefficient of the test questionsThe central control unit marks the difficulty coefficient of the test question to the ith user in the cloud platform as Si, i=1, 2, 3..n, wherein n is the difficulty coefficient of a single user in the cloud platformTotal, set up->
The central control unit calculates the difficulty coefficient of the test question when the average difficulty coefficient of the test question is calculatedRespectively comparing the difficulty level Vi with a preset standard to judge the difficulty level Vi of the test question, wherein i=1, 2,3 and 4, and the difficulty of the test question is gradually increased from V1 to V4; the central control unit is provided with a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03, wherein S01 is more than 0 and less than S02 and less than S03,
if it isThe central control unit judges the difficulty level of the test question as V1;
if it isThe central control unit judges the difficulty level of the test question as V2;
if it isThe central control unit judges that the difficulty level of the test question is V3;
if it isThe central control unit judges that the difficulty level of the test question is V4;
the central control unit compares the user answer time Y detected by the information acquisition unit with a preset standard when calculating a single user difficulty coefficient S of the test question so as to judge whether the user answer time is effective or not; the central control unit is provided with a first preset answer time Y1, a second preset answer time Y2 and a time length adjusting coefficient gamma 1, wherein Y1 is more than 0 and less than Y2, and gamma 1 is more than 0 and less than gamma 1;
if Y is less than or equal to Y1, the central control unit judges that the answer time of the user meets a preset standard and the answer time of the user is effective;
if Y1 is more than Y and less than or equal to Y2, the central control unit judges that the user answering time does not accord with a preset standard and sends confirmation information about whether the user answering time is midway away to the user end to judge whether the user answering time is adjusted, if the user is midway away, the central control unit adjusts the user answering time by using gamma 1, the adjusted user answering time is marked as Y ', Y' =Y multiplied by gamma 1 is set, and if the user is not midway away, the central control unit judges that the user answering time of the user is effective and does not need to adjust the user answering time;
if Y2 is less than Y, the central control unit judges that the answer time of the user does not accord with the preset standard, the answer time of the user is invalid, and the central control unit sends reminding information for re-answering the questions to the user terminal.
2. The intelligent class-based test question dynamic grading system according to claim 1, wherein the information repository in the cloud platform is provided with a first echelon school information repository, a second echelon school information repository and a third echelon school information repository, wherein the historical average score of students stored in each information repository is gradually increased from the first echelon school information repository to the third echelon school information repository; the central control unit is used for controlling the difficulty coefficient of the test questionsWhen the answer is compared with a preset standard to judge the difficulty level Vi of the test question, matching the user information of the answer with information in an information repository in the cloud platform to judge whether to adjust a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03; the central control unit is provided with a first preset regulating coefficient beta 1 and a second preset regulating coefficient beta 2, wherein, beta 1 is more than 0 and less than beta 2,
if the user information is successfully matched with the information in the school information base of the first echelon, the central control unit judges that the difficulty coefficient is higher than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 1, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 1, S02 '=S02 xbeta 1 and S03' =S03×beta 1;
if the user information is successfully matched with the information in the school information base of the second echelon, the central control unit judges that the difficulty coefficient accords with the student capability standard and does not need to adjust the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the school information base of the third echelon, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts the first preset difficulty coefficient S01, the second preset difficulty coefficient S02 and the third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is marked as S01', the adjusted second preset difficulty coefficient is marked as S02', the adjusted third preset difficulty coefficient is marked as S03', and the setting is carried out, wherein S01' =S01xbeta 2, S02 '=S02 xbeta 2 and S03' =S03×beta 2;
and if the user information is not successfully matched with the information in the information repository in the cloud platform, the central control unit transmits the matching failure information to the manual processing unit so as to remind the user of carrying out manual processing.
3. The intelligent classroom-based test question dynamic grading system of claim 2, wherein the cloud platform is in remote communication with the central control unit.
4. The dynamic classification system of test questions based on intelligent class as claimed in claim 3, wherein the manual processing unit is provided with an audio-visual display screen for displaying the judgment information of the central control unit.
5. A classification method of a dynamic classification system for intelligent class-based test questions using the system of any one of claims 1 to 4, comprising:
step 1, an information acquisition unit acquires answer information of a user;
step 2, the central control unit performs integrated analysis on the answer information acquired by the information acquisition unit to judge whether the information is effective or not and whether a preset standard for judging the information needs to be adjusted or not;
step 3, the central control unit calculates a single user difficulty coefficient S of the test question by using a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test question according to each single user difficulty coefficient of the test question stored in the cloud platform, and compares the average difficulty coefficient with a preset standard to judge the difficulty of the test question and the like.
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