CN115689824A - Test question dynamic grading system and grading method based on intelligent classroom - Google Patents
Test question dynamic grading system and grading method based on intelligent classroom 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 a smart classroom, wherein the test question dynamic grading system based on the smart classroom comprises the following components: the information acquisition unit is used for acquiring answer information of the user; the answer information of the user comprises facial expression analysis scores of the user, answer duration of the user and user scores; the central control unit is used for judging how to dynamically grade 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 used for storing test questions and an information repository used for storing user information; the manual processing unit is connected with the central control unit and is used for controlling the dynamic grading system through the central control unit; the method has more accurate judgment on the difficulty of the exercise problems, and further improves the judgment efficiency of the dynamic grading of the exercise 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 scientific technology, the perfect combination of computer technology and education informatization is realized, most students can learn on the internet at present, electronic exercise problems are created, the students can acquire a large number of exercise problems and learn only through mobile phones or computers without using paper exercise problems, however, the difficulty grading of the exercise problems is a hot spot which is relatively concerned by people at present, and the difficulty obtained by the method is deviated from the evaluation of artificial experts under most conditions because the artificial grading has subjectivity. Therefore, it is urgently needed to provide a method for determining the difficulty types of the mathematical test questions to ensure the accuracy of the evaluation of the difficulty types of the test questions.
Chinese patent publication No. CN111882217A discloses a method for calculating difficulty coefficients of test questions in a question bank, comprising the following steps: setting the value of the test questions with the collected difficulty coefficient in the test question bank as K points, and converting the actual scores of the learners who have made the test questions into the score X of the test question bank; calculating the difficulty coefficient Y of the test question; calculating the difficulty coefficient Yn of each test question in the test question library for a specific object in a specific time period; screening out the test questions made by the learner A or the learner A in the test question library, and calculating the average scoring rate D; calculating the total score rate G of the test questions made by the learner A or the group of the learner A in the corresponding difficulty interval in the test question bank; and calculating the relative score rate H and the difficulty coefficient N value of the test question in the difficulty interval of the test question A to the first learner or the group of the first learner. Therefore, the method for calculating the difficulty coefficient of the test questions in the question bank has the following problems: the judgment error of the difficulty information is large because the judgment process cannot be correspondingly adjusted according to the actual condition of the student when answering the question.
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 the judgment error of difficulty information is large because the judgment process cannot be correspondingly adjusted according to the actual situation of students when answering questions in the prior art.
In order to achieve the above object, the present invention provides a test question dynamic grading system based on an intelligent classroom, including:
the information acquisition unit is arranged at the user side and used for acquiring the answer information of the user; the answer information of the user comprises a facial expression analysis score, a user answer duration and a user score of the user aiming at a single test question;
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 scores of the user are recorded into the judgment standard of the dynamic grading of the test questions and whether the answer duration of the user is effective;
the cloud platform is connected with the central control unit and comprises a question storage base for storing test questions and an information storage base for storing user information;
and the manual processing unit is connected with the central control unit and is used for controlling the dynamic grading system through the central control unit.
Furthermore, the information acquisition unit is provided with a facial recognition module for calculating facial expression analysis scores of a single test question in the answering process of the user and expression duration time T for the user to obtain the facial expression analysis scores 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 scores of the user are recorded into a judgment standard for dynamic grading of the test question or not; the central control unit is provided with a standard duration T0 and a standard facial expression analysis score X0, wherein T1 is greater than 0, X0 is greater than 0,
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 dynamic grading of the test questions and 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 grading of the test questions, and sets the facial expression analysis score of the user as X0.
Further, the information acquisition unit transmits the facial expression analysis score X of the user, the user answering time length Y, the user score Z and the formula quantity Q of the simplest answer of the test question to the central control unit when the user answers the question, the central control unit calculates the difficulty coefficient S of the test question for a single user in a weighted summation mode, and sets the difficulty coefficient S, wherein S = X × α 1+ Y × α 2+ (Zmax-Z) × α 3+ Q × α 4, zmax is the highest score of the practice question, α 1 is a first weight coefficient, α 2 is a second weight coefficient, α 3 is a third weight coefficient, α 4 is a fourth weight coefficient, and α 1+ α 2+ α 3+ α 4=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.
Furthermore, when the intelligent classroom-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 questions
Wherein, the 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, n is the total number of the difficulty coefficients of the single users in the cloud platform, and is set,
further, when the average difficulty coefficient of the test questions is calculated, the central control unit compares the difficulty coefficient S of the test questions with a preset standard respectively to judge the difficulty level Vi of the test questions, wherein i =1,2,3,4, and the difficulty of the test questions 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 S02 is more than S03,
if it is
The central control unit judges the difficulty grade of the test question to be V1;
if it is
The central control unit judges the difficulty grade of the test question to be V2;
if it is
The central control unit judges the difficulty grade of the test question to be V3;
if it is
And the central control unit judges the difficulty grade of the test question to be V4.
Further, when calculating the single user difficulty coefficient S of the test question, the central control unit compares the user answer time length Y detected by the information acquisition unit with a preset standard to determine whether the user answer time length of the user is valid; 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
If Y is less than or equal to Y1, the central control unit judges that the user answering time meets the preset standard and the user answering time of the user is effective;
if Y1 is more than Y and is not more than Y2, the central control unit judges that the answer time of the user does not accord with a preset standard and sends confirmation information of whether to leave midway to the user side so as to judge whether to adjust the answer time of the user, if the user leaves midway, the central control unit adjusts the answer time of the user by using gamma 1, the adjusted answer time of the user is marked as Y ', Y' = Y multiplied by gamma 1 is set, and if the user does not leave midway, the central control unit judges that the answer time of the user is effective and does not need to adjust the answer time of the user;
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 and the answer time of the user is invalid and sends a reminding message of answering again to the user side.
Furthermore, an information storage base in the cloud platform is provided with a first echelon school information base, a second echelon school information base and a third echelon school information base, wherein historical average scores of students stored in the information bases are gradually increased from the first echelon school information base to the third echelon school information base; when the difficulty coefficients S of the test questions are respectively compared with preset standards to judge the difficulty level Vi of the test questions, the central control unit matches the user information of the answer with the information in the information storage library 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 adjusting coefficient beta 1 and a second preset adjusting coefficient beta 2, wherein beta 1 is more than 0 and beta 2 is more than 0,
if the user information is successfully matched with the information in the first squad school information base, the central control unit judges that the difficulty coefficient is higher than the student ability standard, and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 1, wherein 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 S01' = S01 × β 1, S02'= S02 × β 1, and S03' = S03 × β 1;
if the user information is successfully matched with the information in the second fleet school information base, the central control unit judges that the difficulty coefficient meets the student capability standard and does not need to adjust a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the third fleet school information base, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is recorded as S01', the adjusted second preset difficulty coefficient is recorded as S02', the adjusted third preset difficulty coefficient is recorded as S03', and S01' = S01 × β 2, S02'= S02 × β 2 and S03' = S03 × β 2 are set;
and if the user information is not successfully matched with the information in the information storage library in the cloud platform, the central control unit transmits matching failure information to the manual processing unit to remind the user of performing manual processing.
Further, the cloud platform is in remote communication connection with the central control unit.
Furthermore, the manual processing unit is provided with an audio-visual display screen for displaying the judgment 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 s1, an information acquisition unit acquires answer information of a user;
step s2, the central control unit integrates and analyzes 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 S3, the central control unit calculates a single user difficulty coefficient S of the test question in a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test questions according to the difficulty coefficients of the single users of the test questions stored in the cloud platform and compares the average difficulty coefficient with a preset standard to judge the difficulty level of the test questions.
Compared with the prior art, the method has the advantages that the central control unit calculates the single user difficulty coefficient of the test question in a weighted summation mode, and adjusts the judgment 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 on the difficulty of the exercise questions is more accurate, and the judgment efficiency of the method is further improved.
Furthermore, the information acquisition unit is provided with an expression analysis module for detecting the facial expression analysis score of a single test question and the duration of the expression for obtaining the facial expression analysis score in the answering process of the user, so that the difficulty grading of the test question is more comprehensive, the judgment accuracy of the difficulty of the test question is improved, and the judgment efficiency of the invention is further improved.
Furthermore, the central control unit extracts each single user difficulty coefficient of the test questions stored in the cloud platform and calculates the average difficulty coefficient of the test questions when the test questions are graded by the smart classroom-based test question dynamic grading system, so that the judgment accuracy of the test question difficulty is improved while the judgment speed is ensured, and the judgment efficiency of the intelligent classroom-based test question dynamic grading system is further improved.
Furthermore, the central control unit judges that the answer time length of the user does not accord with the preset standard and sends confirmation information of whether the user leaves midway to the user side so as 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 fact that the user leaves midway is avoided, the judgment accuracy of the test question difficulty is improved while the judgment speed is ensured, and the judgment efficiency of the invention is further improved.
Furthermore, the information repository in the cloud platform is provided with the first echelon school information base, the second echelon school information base and the third echelon school information base, so that the problem of misjudgment caused by the fact that the student capability standard does not meet the difficulty coefficient is solved, the judgment speed is guaranteed, the judgment accuracy of the difficulty of the test questions is improved, and the judgment efficiency of the method is further improved.
Furthermore, 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 into a judgment standard for dynamic grading of the test questions, so that the problem of erroneous judgment of the central control unit is avoided, the judgment accuracy of the difficulty of the test questions is improved while the judgment speed is ensured, and the judgment efficiency of the invention is further improved.
Drawings
FIG. 1 is a schematic structural diagram of a system for dynamically grading test questions based on an intelligent classroom according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating the central control unit comparing T with a predetermined criterion to determine whether the facial expression analysis score of the user is entered into the criterion for dynamically ranking test questions according to the embodiment of the present invention;
fig. 3 is a flowchart illustrating that the central control unit compares the user question answering time length Y with a preset standard to determine whether the user question answering time length of the user is valid;
FIG. 4 is a schematic diagram illustrating a method for dynamically ranking test questions based on a smart classroom according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and do not delimit 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 only for explaining the technical principles of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, 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 otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, which is a schematic structural diagram of a system for dynamically classifying test questions based on a smart classroom according to an embodiment of the present invention, a system for dynamically classifying test questions based on a smart classroom includes:
the information acquisition unit is arranged at the user side and is used for acquiring answer information of the user; the answer information of the user comprises a facial expression analysis score, a user answer duration and a user score of the user aiming at a single test question;
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 for dynamically grading 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 storage base for storing test questions and an information storage base for storing user information;
and the manual processing unit is connected with the central control unit and is used for controlling the dynamic grading system through the central control unit.
Please refer to fig. 2, which is a flowchart illustrating the central control unit comparing T with a preset standard to determine whether the facial expression analysis score of the user is entered into the criterion of dynamic classification of the test question according to the embodiment of the present invention, wherein the information collecting unit is provided with a facial recognition module for calculating the facial expression analysis score of a single test question during the user answering process and the expression duration T for the user to obtain the facial expression analysis score during the user answering process, 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 entered into the criterion 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 T0=5min, 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 grading of the test questions and records the facial expression analysis score of the user as X;
and 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 into the judgment standard of the dynamic grading of the test questions and sets the facial expression analysis score of the user as X0.
Specifically, the information acquisition unit transmits the facial expression analysis score X of the user, the user answering time length Y, the user score Z and the formula quantity Q of the simplest answer of the test question to the central control unit when the user answers the question, the central control unit calculates the difficulty coefficient S of the test question for a single user in a weighted summation mode, and sets the difficulty coefficient S, where S = X × α 1+ Y × α 2+ (Zmax-Z) × α 3+ Q × α 4, where Zmax is the highest score of the practice question, α 1 is a first weight coefficient, α 2 is a second weight coefficient, α 3 is a third weight coefficient, α 4 is a fourth weight coefficient, and α 1+ α 2+ α 3+ α 4=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 dynamic grading system for test questions based on the intelligent classroom grades the test questions, the central control unit sequentially extracts the difficulty coefficients of the test questions stored in the cloud platform for each user and calculates the average difficulty coefficient of the test questions
Wherein, the 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, n is the total number of the difficulty coefficients of the single users in the cloud platform, and is set,
specifically, the central control unit calculates the difficulty coefficient of the test question when the average difficulty coefficient of the test question is calculated
Respectively comparing the test questions with preset standards to judge the difficulty grades Vi of the test questions, wherein i =1,2,3,4, and the difficulty of the test questions 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 is
The central control unit judges the difficulty grade of the test question to be V1;
if it is
The central control unit judges the difficulty grade of the test question to be V2;
if it is
The central control unit judges the difficulty level of the test question to be V3;
if it is
And the central control unit judges the difficulty grade of the test question to be V4.
Please refer to fig. 3, which is a flowchart illustrating a central control unit comparing a user question answering time Y with a preset standard to determine whether the user question answering time of the user is valid according to an embodiment of the present invention, wherein the central control unit compares the user question answering time Y detected by the information acquisition unit with the preset standard to determine whether the user question answering time of the user 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 user answering time meets the preset standard and the user answering time of the user is effective;
if Y1 is more than Y and is not more than Y2, the central control unit judges that the answer time of the user does not accord with a preset standard and sends confirmation information of whether to leave midway to the user side so as to judge whether to adjust the answer time of the user, if the user leaves midway, the central control unit adjusts the answer time of the user by using gamma 1, the adjusted answer time of the user is marked as Y ', Y' = Y multiplied by gamma 1 is set, and if the user does not leave midway, the central control unit judges that the answer time of the user is effective and does not need to adjust the answer time of the user;
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 and the answer time of the user is invalid and sends a reminding message of answering again to the user side.
Specifically, an information repository in the cloud platform is provided with a first echelon school information base, a second echelon school information base and a third echelon school information base, wherein the historical average scores of students stored in the information bases are gradually increased from the first echelon school information base to the third echelon school information base; when the difficulty coefficients S of the test questions are respectively compared with preset standards to judge the difficulty level Vi of the test questions, the central control unit matches the user information of the answer with the information in the information storage library 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 adjusting coefficient beta 1 and a second preset adjusting coefficient beta 2, wherein beta 1=0.8, beta 2=1.2,
if the user information is successfully matched with the information in the first fleet school information base, the central control unit judges that the difficulty coefficient is higher than the student capability standard and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 1, wherein the adjusted first preset difficulty coefficient is recorded as S01', the adjusted second preset difficulty coefficient is recorded as S02', the adjusted third preset difficulty coefficient is recorded as S03', and S01' = S01 × beta 1, S02'= S02 × beta 1 and S03' = S03 × beta 1 are set;
if the user information is successfully matched with the information in the second fleet school information base, the central control unit judges that the difficulty coefficient meets the student capacity standard and does not need to adjust a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the third fleet school information base, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is recorded as S01', the adjusted second preset difficulty coefficient is recorded as S02', the adjusted third preset difficulty coefficient is recorded as S03', and S01' = S01 × β 2, S02'= S02 × β 2 and S03' = S03 × β 2 are set;
and if the user information is not successfully matched with the information in the information storage library in the cloud platform, the central control unit transmits the matching failure information to the manual processing unit to remind the manual processing unit of performing manual processing.
Specifically, the cloud platform and the central control unit are in remote communication connection.
Specifically, the manual processing unit is provided with an audio-visual display screen for displaying the judgment information of the central control unit.
Please refer to fig. 4, which is a schematic diagram illustrating a method for dynamically classifying test questions based on a smart classroom according to an embodiment of the present invention, wherein the method for dynamically classifying test questions based on a smart classroom includes:
step s1, an information acquisition unit acquires answer information of a user;
step s2, the central control unit performs integration 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 S3, the central control unit calculates a single user difficulty coefficient S of the test question in a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test questions according to the single user difficulty coefficients of the test questions stored in the cloud platform and compares the average difficulty coefficient with a preset standard to judge the difficulty level of the test questions.
Example 1
In this embodiment, the information acquisition unit detects the facial expression analysis score of the user in the user answering process and the duration T =3min of the expression of the user obtaining the facial expression analysis score in the user answering process, at this time, T is less than T0, and the central control unit determines that the user should use the facial expression analysis scoreRecording the facial expression analysis score of the user into a judgment standard for dynamic grading of the test questions and recording the facial expression analysis score of the user as X; in this embodiment, the highest score Zmax =10 of the practice question, the facial expression analysis score X =5 of the user, the answering time length Y =8min of the user, the score Z =8 of the user, and the formula number Q =3 of the simplest answer of the test question, at this time, Y is less than Y1, the central control unit determines that the answering time length of the user meets the preset standard and the answering time length of the user is valid, in this embodiment, the user information is successfully matched with the information in the second platoon 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 × 8.2 + (10-8) × 0.3 × 0.4.9 of the test question in a weighted summation manner, and the central control unit extracts the single user difficulty coefficient stored in the platform and calculates the average difficulty coefficient of the test question, and calculates the average difficulty coefficient of the test question
At this time, the process of the present invention,
and the central control unit judges the difficulty grade of the test question to be V2.
Example 2
In this embodiment, the information acquisition unit detects that the facial expression analysis score of the user in the answering process and the duration T =2min of the expression of the user obtaining the facial expression analysis score in the answering process, at which T is less than T0, the central control unit determines that the facial expression analysis score of the user is entered into a determination criterion for testing dynamic grading of the questions and simultaneously records the facial expression analysis score of the user as X; in this embodiment, the highest score Zmax =10 of the practice question, the facial expression analysis score X =6 of the user, the answer time length Y =5min of the user, the score Z =7 of the user, and the formula number Q =4 of the simplest answer of the test question, where Y is less than Y1, and the central control unit determines that the answer time length of the user meets a preset requirementThe central control unit determines that the difficulty coefficient is higher than the student capability standard, and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using β 1, where the adjusted first preset difficulty coefficient is denoted as S01', the adjusted second preset difficulty coefficient is denoted as S02', and the adjusted third preset difficulty coefficient is denoted as S03', and setting is that S01' =3 × 0.8=2.4, S02'=5 × 0.8=4, and S03' =7 × 0.8=5.6; 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 manner, 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 question
At this time, the process of the present invention,
and the central control unit judges the difficulty grade of the test question to be V2.
So far, the technical solutions of the present invention have 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 the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a test question developments grading system based on wisdom classroom which characterized in that includes:
the information acquisition unit is arranged at the user side and used for acquiring the answer information of the user; the answer information of the user comprises facial expression analysis scores, user answer duration and user scores of the user aiming at a single test question;
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 scores of the user are recorded into the judgment standard of the dynamic grading of the test questions and whether the answer duration of the user is effective;
the cloud platform is connected with the central control unit and comprises a question storage base for storing test questions and an information storage base for storing user information;
and the manual processing unit is connected with the central control unit and is used for controlling the dynamic grading system through the central control unit.
2. The system according to claim 1, wherein the information collecting unit comprises a facial recognition module for calculating facial expression analysis scores for individual test questions during answering by a user and expression duration T for the user to obtain the facial expression analysis scores during answering and transmitting T to the central control unit, and the central control unit compares T with a preset standard to determine whether the facial expression analysis scores of the user are entered into a criterion for dynamically classifying the test questions; the central control unit is provided with a standard duration T0 and a standard facial expression analysis score X0, wherein T1 is more than 0, X0 is more than 0,
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 grading of the test questions and records the facial expression analysis score of the user as X;
and 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 into the judgment standard of the dynamic grading of the test questions and sets the facial expression analysis score of the user as X0.
3. The system for dynamically grading test questions based on an intelligent classroom according to claim 2, wherein the information collecting unit transmits the facial expression analysis score X of the user, the user answering time length Y, the user score Z and the formula quantity Q of the simplest answer of the test question to the central control unit when the user answers the test question, the central control unit calculates the difficulty coefficient S of the test question for a single user by using a weighted summation method, and sets the difficulty coefficient S = X × α 1+ Y × α 2+ (Zmax-Z) × α 3+ Q × α 4, wherein Zmax is the highest score of the practice question, α 1 is the first weight coefficient, α 2 is the second weight coefficient, α 3 is the third weight coefficient, α 4 is the fourth weight coefficient, and α 1+ α 2+ α 3+ α 4=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.
4. The system of claim 3, wherein when the system of dynamically classifying test questions in a smart classroom based manner classifies the test questions, the central control unit sequentially extracts difficulty coefficients of the test questions stored in the cloud platform for each user and calculates an average difficulty coefficient of the test questions
Wherein, the 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, n is the total number of the difficulty coefficients of the single users in the cloud platform, and is set,
5. the dynamic grading system for test questions based on intelligent classroom according to claim 4, wherein the central control unit calculates the average difficulty coefficient of a test question when the calculation is completedDifficulty factor of test questions
Respectively comparing the test questions with preset standards to judge the difficulty grades Vi of the test questions, wherein i =1,2,3,4, and the difficulty of the test questions 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 S02 is more than S03,
if it is
The central control unit judges the difficulty grade of the test question to be V1;
if it is
The central control unit judges the difficulty level of the test question to be V2;
if it is
The central control unit judges the difficulty grade of the test question to be V3;
if it is
And the central control unit judges the difficulty grade of the test question to be V4.
6. The system for dynamically grading intelligent classroom-based test questions according to claim 3, wherein the central control unit compares the user question answering time Y detected by the information acquisition unit with a preset standard when calculating the single user difficulty coefficient S of the test question to determine whether the user question answering time of the user is valid; 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, Y1 is more than 0,
if Y is less than or equal to Y1, the central control unit judges that the user answer time meets the preset standard and the user answer time of the user is effective;
if Y1 is more than Y and is not more than Y2, the central control unit judges that the answer time of the user does not accord with a preset standard and sends confirmation information of whether to leave midway to the user side so as to judge whether to adjust the answer time of the user, if the user leaves midway, the central control unit adjusts the answer time of the user by using gamma 1, the adjusted answer time of the user is marked as Y ', Y' = Y multiplied by gamma 1 is set, and if the user does not leave midway, the central control unit judges that the answer time of the user is effective and does not need to adjust the answer time of the user;
if Y2 is less than Y, the central control unit judges that the user question answering time does not accord with the preset standard, the user question answering time of the user is invalid, and sends reminding information for answering again to the user side.
7. The system for dynamically grading test questions based on the intelligent classroom according to claim 5, wherein the information repository in the cloud platform is provided with a first echelon school information base, a second echelon school information base and a third echelon school information base, wherein the historical average scores of students stored in each information base are gradually increased from the first echelon school information base to the third echelon school information base; the difficulty coefficient of the test questions is measured by the central control unit
When the difficulty level Vi of the test question is judged by comparing the test question with preset standards, matching the user information of the answer with the information in the information storage library 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 adjusting coefficient beta 1 and a second preset adjusting coefficient beta 2, wherein beta 1 is more than 0 and beta 2 is more than 0,
if the user information is successfully matched with the information in the first fleet school information base, the central control unit judges that the difficulty coefficient is higher than the student capability standard and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 1, wherein the adjusted first preset difficulty coefficient is recorded as S01', the adjusted second preset difficulty coefficient is recorded as S02', the adjusted third preset difficulty coefficient is recorded as S03', and S01' = S01 × beta 1, S02'= S02 × beta 1 and S03' = S03 × beta 1 are set;
if the user information is successfully matched with the information in the second fleet school information base, the central control unit judges that the difficulty coefficient meets the student capability standard and does not need to adjust a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03;
if the user information is successfully matched with the information in the third fleet school information base, the central control unit judges that the difficulty coefficient is lower than the student capability standard and adjusts a first preset difficulty coefficient S01, a second preset difficulty coefficient S02 and a third preset difficulty coefficient S03 by using beta 2, the adjusted first preset difficulty coefficient is recorded as S01', the adjusted second preset difficulty coefficient is recorded as S02', the adjusted third preset difficulty coefficient is recorded as S03', and S01' = S01 × β 2, S02'= S02 × β 2 and S03' = S03 × β 2 are set;
and if the user information is not successfully matched with the information in the information storage library in the cloud platform, the central control unit transmits the matching failure information to the manual processing unit to remind the manual processing unit of performing manual processing.
8. The system of claim 7, wherein the cloud platform and the central control unit are connected in a telecommunication manner.
9. The system of claim 8, wherein the manual processing unit has a video display screen for displaying the determination information of the central control unit.
10. A grading method of a system for dynamically grading test questions based on an intelligent classroom using the system of any one of claims 1 to 9, comprising:
step s1, an information acquisition unit acquires answer information of a user;
step s2, the central control unit performs integration 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 S3, the central control unit calculates a single user difficulty coefficient S of the test question in a weighted summation mode;
and step s4, the central control unit calculates the average difficulty coefficient of the test questions according to the single user difficulty coefficients of the test questions stored in the cloud platform and compares the average difficulty coefficient with a preset standard to judge the difficulty of the test questions and the like.
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