CN118172214B - Intelligent online experiment examination management platform - Google Patents
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Abstract
The invention provides an intelligent online experimental examination management platform, which relates to the field of intelligent education and comprises the following components: the standard determining module is used for determining all standard investigation steps in all the investigation steps of the experiment to be investigated; the personalized analysis module is used for determining all personalized investigation steps of the examinee and all corresponding personalized interaction allowing instructions based on the error experimental operation habit of the examinee; the program generation module is used for generating an online experimental examination interaction program of the examinee; the operation scoring module is used for analyzing the experimental operation accuracy of the examinee from three dimensions based on all the reference interaction instructions received in the examination process when the examination instruction is received based on the online experimental examination interaction program, and determining the experimental examination score of the examinee based on the experimental operation accuracy; the method is used for realizing targeted investigation of different examinees and accurate performance evaluation of experimental operations of the examinees from three dimensions.
Description
Technical Field
The invention relates to the technical field of intelligent education, in particular to an intelligent online experimental examination management platform.
Background
Along with development of intelligent education and combination of experimental examination and computer technology, the experimental examination is converted into an electronic examination system in a computer for carrying out in a campus, so that personal or property loss caused by experimental misoperation is greatly reduced, consumption of experimental equipment and raw materials is reduced, and due to the experimental operation recording function of the electronic examination system, students can be recorded in the whole experimental examination process, and follow-up scoring of experimental examination results is facilitated.
However, the existing intelligent online experimental examination management platform can only conduct investigation aiming at experimental operation steps which a teacher or an examination management end wants to uniformly investigate, and due to the limited online interaction function of an electronic examination system, the operation freedom degree of students in the experimental examination process is not high, and the scoring of the students on the grasping degree of the students in the whole experimental operation process is not accurate enough.
Therefore, the invention provides an intelligent online experiment examination management platform.
Disclosure of Invention
The invention provides an intelligent online experimental examination management platform which is used for determining personalized examination steps aiming at testers and corresponding all personalized allowed interaction instructions based on error experimental operation habits analyzed by history examination records of the testers on the basis of experimental operation steps (namely standard examination steps) which are needed by teachers or examination management ends to uniformly examine all students, namely, realizing targeted examination of different testers based on the personalized examination steps and the special induced error operations aiming at the testers, improving the operational freedom degree of the testers in experimental examination compared with the intelligent online experimental examination management platform in the prior art, further realizing accurate score evaluation of experimental operation of the testers by combining experimental operation accuracy of the testers analyzed from three dimensions, and improving the scoring accuracy of the mastering degree of the students on the whole experimental operation process.
The invention provides an intelligent online experimental examination management platform, which comprises:
The standard determining module is used for determining all standard investigation steps in all the investigation steps of the experiment to be investigated;
the personalized analysis module is used for determining all personalized investigation steps of the examinees and all corresponding personalized allowed interaction instructions based on the error experimental operation habits analyzed in the history examination records of each examinee;
The program generation module is used for generating an online experimental examination interaction program of the examinee based on all standard investigation steps and corresponding standard interaction permission instructions and all personalized investigation steps and corresponding personalized interaction permission instructions;
the operation scoring module is used for analyzing the experimental operation accuracy of the examinee from three dimensions based on all the reference interaction instructions received in the examination process when the examination instruction is received based on the online experimental examination interaction program, and determining the experimental examination score of the examinee based on the experimental operation accuracy;
the three dimensions comprise instruction input times and instruction input time, and instruction input accuracy.
Preferably, the standard determining module includes:
The operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be examined, and performing operation decomposition on the standard operation process video to acquire all the step which can be examined;
the step screening submodule is used for screening all standard investigation steps from all the investigation steps based on investigation step selection instructions input by the authorized communication end.
Preferably, the standard determining module includes:
The video operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be examined, and performing operation decomposition on the standard operation process video to acquire all the step which can be examined;
The historical examination question analysis submodule is used for acquiring historical examination questions in a preset form of an experiment to be examined, and taking the ratio of the examination times of each step capable of being examined in all the historical examination questions to the total number of the historical examination questions as the examination frequency-order ratio of each step capable of being examined;
and the standard investigation step determination module is used for taking the investigation step of which the investigation frequency ratio exceeds the investigation frequency ratio threshold value as the standard investigation step.
Preferably, the personalized analysis module comprises:
The error step direct analysis submodule is used for determining a standard operation step of error operation of an examinee in an examinee history examination record, and determining all repeated steps and corresponding repeated times in all the first operation steps as the first operation step;
The error step fuzzy analysis submodule is used for carrying out fuzzy escape of different levels on all first operation steps based on all preset fuzzy escape modes in the fuzzy escape mode list, obtaining all step fuzzy semantics under the preset fuzzy escape level corresponding to each preset fuzzy escape mode, and counting all repeated semantics and corresponding repeated times under each preset fuzzy escape level;
The error operation habit determining submodule is used for taking the repeated steps with the repeated times not smaller than the first repeated times threshold value as error habit steps, taking the repeated semantics with the repeated times not smaller than the second repeated times threshold value corresponding to the preset fuzzy escape level as error habit semantics, and taking the error habit steps and the error habit semantics as error experiment operation habits;
The personalized investigation target determination submodule is used for determining all personalized investigation steps of the examinee and all corresponding personalized allowed interaction instructions in all the investigation steps of the experiment to be investigated based on the error experiment operation habit.
Preferably, the personalized investigation target determination submodule includes:
the first step screening unit is used for determining the same assayable steps as the error habit steps in the error experiment operation habits in all assayable steps of the experiment to be examined, and taking the assayable steps as first personalized investigation steps;
The step fuzzy escape unit is used for carrying out fuzzy escape of different levels on all the assayable steps of the experiment to be inspected based on all the preset fuzzy escape modes in the fuzzy escape mode list, and obtaining the fuzzy semantics of the assayable steps of each assayable step under the preset fuzzy escape level corresponding to the preset fuzzy escape mode;
The second step screening unit is used for taking at least one step which is included in all the step which can be inspected and has the same fuzzy meaning as the error habit meaning under the corresponding preset fuzzy escape level in the error experiment operation habit as a second personalized inspection step;
and the interaction instruction determining unit is used for determining all the personalized interaction allowing instructions corresponding to each personalized investigation step based on the history examination record.
The personalized investigation step comprises a first personalized investigation step and a second personalized investigation step.
Preferably, the interactive instruction determining unit includes:
The first misleading option determining subunit is used for retrieving personalized error operation executed by the examinee in the standard operation step same as the first personalized investigation step from the history examination record as a personalized misleading operation option of the corresponding first personalized investigation step;
The second misleading option determining subunit is used for retrieving personalized error operations executed by the examinee in all standard operation steps with the same step fuzzy semantics under the same preset fuzzy escape level as the second personalized investigation step from the history examination record as personalized misleading operation options of the corresponding second personalized investigation step;
And the interaction instruction determining subunit is used for determining all the personalized allowed interaction instructions corresponding to each personalized investigation step based on the personalized misleading operation options corresponding to each personalized investigation step.
Preferably, the method for determining all the personalized allowed interaction instructions corresponding to each personalized investigation step by the interaction instruction determining subunit based on the misleading operation options corresponding to each personalized investigation step includes:
the standard misleading operation options of each personalized investigation step are called out from the misleading option library;
Based on the standard operation instruction, the personalized misleading operation option and the standard misleading operation option of each personalized investigation step, respectively generating and summarizing corresponding interactable instructions to obtain all personalized allowed interaction instructions corresponding to each personalized investigation step.
Preferably, the program generating module includes:
the step sequencing sub-module is used for sequencing all standard investigation steps and all personalized investigation steps based on the execution sequence of all the investigation steps of the experiment to be investigated, so as to obtain a standard investigation single-line logic diagram;
The execution logic perfecting sub-module is used for carrying out side extension on each step node in the standard investigation single-line logic diagram based on the standard interaction allowing instruction corresponding to each standard investigation step and the personalized interaction allowing instruction corresponding to each personalized investigation step to obtain an online experimental examination interaction comprehensive logic diagram of an examinee;
And the program generation sub-module is used for generating an online experiment examination interaction program of the examinee based on the online experiment examination interaction comprehensive logic diagram of the examinee.
Preferably, the operation scoring module includes:
The instruction receiving sub-module is used for receiving a reference interaction instruction input by an examinee in real time based on an online experiment examination interaction program;
And the score evaluation sub-module is used for triggering and displaying corresponding interactive response animation based on the reference interactive instruction and the online experimental examination interactive program, analyzing the experimental operation accuracy of the examinee from three dimensions based on all the reference interactive instructions received in the examination process until the latest received reference interactive instruction is the paper-passing instruction, and determining the experimental examination score of the examinee based on the experimental operation accuracy.
Preferably, the performance evaluation sub-module analyzes the experimental operation accuracy of the examinee from three dimensions, and determines the experimental examination performance of the examination based on the experimental operation accuracy, including:
Based on the accuracy of all the reference interaction instructions received in the examination process, the accuracy is regarded as the experimental operation accuracy of the test taker in the dimension of the instruction input accuracy;
Based on all reference interaction instructions received in the examination process, the ratio of the total number of erroneous reference interaction instructions input by the examinee in each investigation step in the experiment to be examined to the threshold value of the input times of the erroneous interaction instructions is taken as the time dimension grading value of the examinee in the corresponding investigation step, and the difference between the average value of the time dimension grading values of 1 and the examinee in all investigation steps is taken as the experimental operation accuracy of the examinee in the instruction input time dimension;
Determining the time required for inputting the instructions of the final interaction instructions of all the investigation steps in the test to be examined by the examinee based on all the reference interaction instructions received in the test process, taking the difference value of the ratio of the time required for inputting the instructions of the final interaction instructions of each investigation step by the examinee to the time required for inputting the standard instructions of the corresponding investigation step as the time dimension grading value of the examinee in the corresponding investigation step, and taking the difference value between the average value of the time dimension grading values of 1 and the examinee in all the investigation steps as the experimental operation accuracy of the examinee in the time dimension of the instruction input;
taking the average value of the experimental operation accuracy of the examinee in the instruction input accuracy dimension, the instruction input times dimension and the instruction input time dimension as the experimental examination score of the examinee.
Compared with the prior art, the invention has the following beneficial effects: on the basis of the experimental operation steps (namely standard investigation steps) that a teacher or an examination management end wants to uniformly investigate all students, further based on the error experimental operation habits analyzed by the history examination records of the examinees, the personalized investigation steps aiming at the examinees and all corresponding personalized allowed interaction instructions are determined, namely, the specific investigation of different examinees is realized based on the personalized investigation steps and the induced error operations specially set for the examinees, and compared with the intelligent online experimental examination management platform in the prior art, the operational freedom of the examinees in experimental examination is improved, the accurate performance evaluation of the experimental operation of the examinees is further realized by combining the experimental operation accuracy of the examinees analyzed from three dimensions, and the scoring accuracy of the students on the grasping degree of the whole experimental operation process is also improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of internal functional modules of an intelligent online experimental examination management platform in an embodiment of the invention;
FIG. 2 is a schematic diagram of internal functional sub-modules of the standard determination module in an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal functional sub-module of another standard determining module in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
The invention provides an intelligent online experiment examination management platform, referring to fig. 1, comprising:
the standard determining module is configured to determine all standard investigation steps (i.e., all experiment operation steps that a teacher or an examination management end wants to perform unified investigation on all students) in all the assureable steps (i.e., all the steps that are included in the whole operation process of the experiment to be examined and that can be used for performing examination investigation) of the experiment to be examined (i.e., the experiment item that needs to be examined on an examinee by using the intelligent online test examination management platform in the embodiment, such as a balance measurement experiment);
The personalized analysis module is used for determining all personalized investigation steps of the examinees (namely, the experimental operation steps which are set for each examinee and are used for carrying out special investigation on the corresponding examinees are different) based on the historical examination records of each examinee (namely, the record records recorded with all the experimental examination once attended by the examinees are recorded, the corresponding record data are videos, or the examination forms can be the examination of paper examination papers, the corresponding record data are historical answer papers) and the error experimental operation habits analyzed in the process of the experimental operation of the single examinees (namely, the error operation habits of the single examinees are such as 1. Measuring tools with verification marks are not used, 2. The reagent dissolving and diluting processes are carried out with sprinkling, 3. The reagent dissolving and transferring processes are not carried out with glass rods and the like), and all the personalized investigation steps of the examinees (namely, the error operation steps of the examinees analyzed according to the historical record) and all the corresponding personalized allowed interaction instructions (namely, the input instructions comprising the correct operation steps used for controlling the execution of the personalized operation steps and the set up control are used for carrying out the error operation of the examinees) and the error operation instructions of the examinees are used for carrying out the error operation of the input of the error operation of the personalized instructions of the examinees;
the program generating module is used for generating an online experiment examination interaction program of the examinee (namely, an online experiment examination interaction program of the examinee comprises all standard investigation steps and all corresponding personalized investigation steps and can allow the examinee to input all corresponding allowed interaction instructions (namely, standard allowed interaction instructions or personalized allowed interaction instructions) in the corresponding investigation steps) based on all standard investigation steps and corresponding standard allowed interaction instructions (namely, an input instruction comprising correct operation steps for controlling and executing the standard investigation steps and an input instruction for uniformly setting and executing error operations of personalized operation steps for interfering the examinee), and generating a corresponding response animation based on the corresponding allowed interaction instructions, wherein the response animation is an animation picture corresponding to the result generated by equipment or materials in the experiment after the operation corresponding to the corresponding allowed interaction instructions is executed when the student inputs the corresponding allowed interaction instructions;
The operation scoring module is used for analyzing the experimental operation accuracy of the examinee (namely, the operation accuracy degree in the process of representing the operation of the examinee to be examined in the process of operating the experiment) from three dimensions based on all the reference interaction instructions received in the process of the examination (namely, the control instructions of the experimental operation steps input in the process of executing the online experimental examination interaction program of the electronic examination system by the examinee) when the examination instruction is received based on the online experimental examination interaction program (namely, the instruction input by the student and used for controlling the electronic examination system to carry out the examination), and determining the experimental score of the examinee (namely, the score obtained by the examinee in the current experimental examination process) based on the experimental operation accuracy degree;
The three dimensions include the number of times of instruction input (i.e., the number of times of repetition of an erroneous instruction input before the final operation instruction of a single step that can be considered (i.e., the operation instruction that is not finally executed by the student) is input, i.e., the number of times of repetition of the process that is canceled after the student inputs the erroneous operation instruction), and the instruction input time (i.e., the time required for inputting the final operation instruction of a single step that can be considered), and the instruction input accuracy (i.e., the duty ratio of the correct operation instruction among all the reference interaction instructions input by the student).
In this embodiment, the interactive permission instruction is an instruction that allows the examinee to operate the experimental process input by the electronic examination system in the corresponding examination step, and is used to control the online experimental examination interactive program in the electronic examination system to perform correct operation or incorrect operation in the corresponding examination step so as to complete the experimental examination.
According to the embodiment, on the basis of experimental operation steps (namely standard investigation steps) that a teacher or an examination management end wants to uniformly investigate all students, error experimental operation habits analyzed based on historical examination records of the examinees are further determined, personalized investigation steps aiming at the examinees and all corresponding personalized allowed interaction instructions are determined, namely, different examinees are purposefully investigated based on the personalized investigation steps and induced error operations specially set for the examinees, and compared with an intelligent online experimental examination management platform in the prior art, the operational degree of freedom of the examinees in experimental examination is improved, accurate performance evaluation of experimental operation of the examinees is further achieved by combining experimental operation accuracy of the examinees analyzed from three dimensions, and scoring accuracy of grasping degree of the students on the operation process of the whole experimental process is also improved.
Example 2:
Based on embodiment 1, the standard determining module, referring to fig. 2, includes:
the operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be inspected (namely, a video containing the whole correct operation process of the experiment to be inspected), and performing operation decomposition on the standard operation process video (which can be performed by using a manual identification decomposition or a preset operation identification decomposition model) to acquire all the inspectable steps;
the step screening submodule is used for screening all standard investigation steps in all the investigation steps based on investigation step selection instructions (namely control instructions for screening standard investigation steps in all the investigation steps) input by a communication end with authority (namely a communication end with management authority for teachers or experimental examination contents).
According to the process, all the measurable steps of the experiment to be examined are obtained through operation decomposition of the standard operation process video of the experiment to be examined, and all the standard measurable steps of the experiment to be examined are reasonably determined further based on the investigation step selection instruction input by the authorized communication terminal.
Example 3:
based on embodiment 1, the standard determining module, referring to fig. 3, includes:
The video operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be inspected (namely, a video containing the whole correct operation process of the experiment to be inspected), and performing operation decomposition on the standard operation process video (which can be performed by using a manual identification decomposition or a preset operation identification decomposition model) to acquire all the inspectable steps;
The historical question analysis submodule is used for acquiring a historical examination question (namely, the examination question contained in each experimental examination in a historical examination record is a specific operation method for examining a certain experimental operation step) of a preset form (the preset form can be in-field operation, corresponding recorded data is video, or the preset form can be examination of paper examination papers, corresponding recorded data is a historical answer sheet) of an experiment to be examined, and taking the ratio of the examination times (namely, the occurrence times of the examination steps in all the historical examination questions) of each step to the total number of the historical examination questions as the examination frequency order ratio (namely, the numerical value representing the examination times of the examination steps in the historical examination record) of each step;
The standard investigation step determination module is used for taking the investigation step of which the investigation frequency ratio exceeds the investigation frequency ratio threshold (namely a preset comparison threshold for judging whether the investigation step is the standard investigation step or not) as the standard investigation step.
According to the process, all the assureable steps of the experiment to be inspected are obtained through operation decomposition of the standard operation process video of the experiment to be inspected, and further, the assureable steps with higher inspection frequency in the history examination record are screened out to serve as standard inspection steps based on the inspection frequency ratio of the assureable steps in the history examination record, so that all the standard inspection steps of the experiment to be inspected are reasonably determined.
Example 4:
On the basis of embodiment 1, the personalized analysis module comprises:
The error step direct analysis submodule is used for determining standard operation steps (experimental steps of error operation of the examinee in the history examination record) of the error operation of the examinee in the history examination record, and determining all repeated steps and corresponding repeated times in all the first operation steps as the first operation steps;
The wrong step fuzzy analysis submodule is used for carrying out different levels on all the first operation steps (namely, different preset fuzzy escape modes in the fuzzy escape mode list correspond to different levels, namely, the fuzzy escape mode used for carrying out the fuzzy escape on the first operation steps can be understood as upper level summarization or semantic simplification, for example, the first operation step is that 10 milliliters of solution A is poured into an empty beaker, the step fuzzy semantics after the fuzzy escape can be that the solution A is poured into the empty beaker or the solution A is acquired), all the steps under the preset fuzzy escape modes (namely, the preset fuzzy escape modes correspond to different levels in the fuzzy escape mode list) are obtained, and the different levels can be understood as the fuzzy escape of the preset fuzzy meaning corresponding to the first operation step (namely, the different fuzzy escape modes correspond to different fuzzy escape degrees of the preset fuzzy escape mode), and the step under the repeated statistics of all the fuzzy semantics corresponding to all the fuzzy meaning steps under the preset fuzzy meaning is obtained;
The wrong operation habit determining submodule is used for taking the repeated steps with the repeated times not smaller than a first repeated times threshold value (namely, a screening threshold value for screening the repeated times of wrong habit steps in the repeated steps) as wrong habit steps (namely, a standard operation step which is frequently wrong and is shown by an examinee in a history examination record), taking the repeated semantics with the repeated times not smaller than a second repeated times threshold value corresponding to a preset fuzzy escape level (namely, a screening threshold value for screening the repeated times of wrong habit semantics in the repeated steps) as wrong habit semantics (namely, a step fuzzy semantics which is frequently wrong and is shown by the examinee in each preset fuzzy escape level shown by the history examination record), and taking the wrong habit steps and the wrong habit semantics as wrong experiment operation habits;
The personalized investigation target determination submodule is used for determining all personalized investigation steps of the examinee and all corresponding personalized allowed interaction instructions in all the investigation steps of the experiment to be investigated based on the error experiment operation habit.
The process comprises the steps of determining standard operation steps which are frequently in error by a test taker in a history test record, carrying out statistics on repeated frequencies of the same hierarchy on step fuzzy semantics after fuzzy escape of the standard operation steps in the history test record, determining error habit steps and error habit semantics as error experimental operation habits of the test taker, and further determining all personalized investigation steps and all corresponding personalized interaction permission instructions of the test taker based on the error operation habits.
Example 5:
On the basis of embodiment 4, the personalized investigation target determination submodule includes:
the first step screening unit is used for determining the same assayable steps as the error habit steps in the error experiment operation habits in all assayable steps of the experiment to be examined, and taking the assayable steps as first personalized investigation steps;
the step fuzzy escape unit is used for carrying out fuzzy escape of different levels on all the assayable steps of the experiment to be inspected based on all the preset fuzzy escape modes in the fuzzy escape mode list to obtain the fuzzy semantics of the assayable steps of each assayable step under the preset fuzzy escape level corresponding to the preset fuzzy escape mode (namely, the semantics of the assayable steps obtained after the assayable steps are subjected to fuzzy escape under the corresponding preset fuzzy escape level);
The second step screening unit is used for taking at least one step which is included in all the step which can be inspected and has the same fuzzy meaning as the error habit meaning under the corresponding preset fuzzy escape level in the error experiment operation habit as a second personalized inspection step;
and the interaction instruction determining unit is used for determining all the personalized interaction allowing instructions corresponding to each personalized investigation step based on the history examination record.
The personalized investigation step comprises a first personalized investigation step and a second personalized investigation step.
The process takes the assayable steps which are the same as the error habit steps in all assayable steps of the experiment to be examined and the assayable steps which are the same as the error habit semantics under the corresponding preset fuzzy escape level as the personalized assayable steps, so that the reasonable determination of the personalized assayable steps is realized.
Example 6:
On the basis of embodiment 5, the interactive instruction determination unit includes:
A first misleading option determining subunit, configured to retrieve, in the history examination record, a personalized error operation performed by the examinee in the same standard operation step as the first personalized investigation step (an error operation performed by the examinee in the standard operation step recorded in the history examination record) as a personalized misleading operation option of the corresponding first personalized investigation step (i.e., an inputtable operation instruction for disturbing and misleading the corresponding examinee, which is specifically set for the corresponding examinee in the corresponding personalized investigation step, i.e., an operation for allowing the examinee to input the corresponding personalized misleading operation option in the personalized investigation step, but the operation is erroneous);
The second misleading option determining subunit is used for retrieving personalized error operations executed by the examinee in all standard operation steps with the same step fuzzy semantics under the same preset fuzzy escape level as the second personalized investigation step from the history examination record as personalized misleading operation options of the corresponding second personalized investigation step;
And the interaction instruction determining subunit is used for determining all the personalized allowed interaction instructions corresponding to each personalized investigation step based on the personalized misleading operation options corresponding to each personalized investigation step.
According to the process, through the error operation frequently made by the examinee in the corresponding personalized investigation step, which is reflected in the history examination record, the personalized misleading operation option of the corresponding personalized investigation step is set, so that the interaction allowing instruction of the corresponding personalized investigation step is perfected, the operation degree of freedom of the examinee in the corresponding personalized investigation step is improved, and the investigation process of the experimental examination is more specific to the examinee in the investigation of the personalized investigation step.
Example 7:
based on embodiment 6, the interaction instruction determining subunit determines, based on the misleading operation option corresponding to each personalized inspection step, all the methods for allowing interaction instructions for personalization corresponding to each personalized inspection step, including:
The method comprises the steps of calling out standard misleading operation options (namely preset inputtable operation instructions for interfering and misleading examinees in corresponding standard operation steps (or personalized investigation steps) of each personalized investigation step from a misleading option library (namely a database containing standard misleading operation options of each standard operation step), wherein the standard misleading operation options are determined based on misoperations commonly occurring in the standard operation steps (or personalized investigation steps) of a large number of students;
Based on the standard operation instruction (namely, the control instruction which is input in the electronic examination system and is used for controlling the correct operation in the corresponding personalized examination step), the personalized misleading operation option and the standard misleading operation option of each personalized examination step, corresponding interactable instructions (namely, the control instruction which is input in the electronic examination system and realizes the corresponding operation (namely, the operation corresponding to the standard operation instruction, the personalized misleading operation option and the standard misleading operation option) are respectively generated and summarized, and all personalized allowed interaction instructions corresponding to each personalized examination step are obtained.
The process completes the generation of all the individuation allowed interaction instructions of each individuation investigation step, improves the operation degree of freedom of the examinee in the corresponding individuation investigation step, and enables the investigation process of the experimental examination to have more pertinence to the investigation of the individuation investigation step by the examinee.
Example 8:
on the basis of embodiment 1, the program generating module includes:
The step sequencing submodule is used for sequencing all standard investigation steps and all personalized investigation steps based on the execution sequence of all the investigation steps of the experiment to be investigated to obtain a standard investigation single-line logic diagram (namely an execution process record diagram containing all the standard investigation steps and the personalized investigation steps sequenced according to the execution sequence);
The execution logic perfecting sub-module is used for carrying out bypass extension on each step node in the standard inspection single-line logic diagram based on the standard allowed interaction instruction corresponding to each standard inspection step and the personalized allowed interaction instruction corresponding to each personalized inspection step (namely, carrying out extension on the single-line logic diagram executed in the next step of the corresponding inspection step in the standard inspection single-line logic diagram based on personalized misleading operation options and standard misleading operation options in the personalized allowed interaction instruction) so as to obtain an online experimental examination interaction comprehensive logic diagram of an examinee (namely, an experimental process record diagram containing experimental effects (or animation effects) possibly generated when the experimental initial state in an electronic examination system is respectively input into each personalized allowed interaction instruction in the corresponding inspection step);
The program generation sub-module is used for generating an online experiment examination interaction program of the examinee based on the online experiment examination interaction comprehensive logic diagram of the examinee (the online experiment examination interaction program allows the examinee to input all corresponding personalized allowed interaction instructions in the corresponding investigation step so as to achieve the corresponding experiment effect).
In the process, based on the standard allowed interaction instruction of all standard investigation steps of the experiment to be investigated and the personalized allowed interaction instruction of all personalized investigation steps, logic combing of various implementation execution processes possibly occurring in the experiment to be investigated is realized, and based on the on-line experiment examination interaction comprehensive logic diagram of the examinee containing the result obtained by the logic combing, an on-line experiment examination interaction program of the examinee is generated.
Example 9:
on the basis of embodiment 1, the operation scoring module includes:
The instruction receiving sub-module is used for receiving a reference interaction instruction input by an examinee in real time based on an online experiment examination interaction program;
The score evaluation sub-module is configured to trigger and display a corresponding interactive response animation (i.e., a preset experimental effect animation triggered when the input corresponds to the reference interactive instruction (i.e., the personalized allowed interactive instruction)) based on the reference interactive instruction and the online experimental examination interactive program, until the latest received reference interactive instruction is the paper-passing instruction, analyze experimental operation accuracy of the examinee from three dimensions based on all the reference interactive instructions received in the current examination process, and determine the experimental examination score of the examinee based on the experimental operation accuracy.
The process completes the receiving and recording of the reference interaction instruction in the experimental examination process, and realizes the accurate evaluation of the experimental operation accuracy of the examinee in the experimental examination from three dimensions after the examinee inputs the interaction instruction.
Example 10:
Based on embodiment 9, the performance evaluation sub-module analyzes the experimental operation accuracy of the test taker from three dimensions, and determines the experimental test performance of the test based on the experimental operation accuracy, comprising:
Based on the accuracy of all the reference interaction instructions received in the examination process (namely, the ratio of the reference interaction instructions representing correct operation, which are input by the examinee in the corresponding investigation step (namely, the steps including the standard investigation step and the personalized investigation step), in all the reference interaction instructions), the accuracy is regarded as the experimental operation accuracy of the examinee in the dimension of the instruction input accuracy;
Based on all reference interaction instructions received in the examination process, taking the ratio of the total number of error reference interaction instructions input by an examinee in each investigation step in an experiment to be examined (namely, the total number of error reference interaction instructions representing error operation) to the threshold value of the input times of the error interaction instructions (namely, the maximum repeated input times of the error reference interaction instructions which can be repeatedly input in a preset single investigation step) as the number-of-times dimension grading value of the examinee in the corresponding investigation step (namely, the grading value of the examinee in the instruction input number-of-times dimension), and taking the difference between the average value of the number-of-times dimension grading values of the 1 and the examinee in all investigation steps as the experimental operation accuracy of the examinee in the number-of-times dimension of instruction input;
Determining the instruction input required time of the final interaction instruction of all investigation steps in the test to be examined (namely, the reference interaction instruction of the final interaction instruction of the examinee in the corresponding investigation step) based on all reference interaction instructions received in the test process (namely, the time length from the input time of the reference interaction instruction of the final interaction instruction of the examinee in the last time of the adjacent investigation step to the input time of the reference interaction instruction of the final interaction instruction of the examinee in the current investigation step), taking the difference value of the ratio of the instruction input required time of the final interaction instruction of the examinee in each investigation step and the standard instruction input required time of the corresponding investigation step (namely, the maximum instruction input required time of the final interaction instruction of the preset single investigation step) as the time dimension score value of the examinee in the corresponding investigation step (namely, the score value of the index of the examinee in the instruction input time dimension of the corresponding investigation step), and taking the difference value between 1 and the average value of the time dimension score value of the examinee in all investigation steps as the operation experiment of the instruction input time dimension;
taking the average value of the experimental operation accuracy of the examinee in the instruction input accuracy dimension, the instruction input times dimension and the instruction input time dimension as the experimental examination score of the examinee.
The process realizes accurate and reasonable scoring of the operation performance of the examinee in the experimental examination process from three dimensions of instruction input accuracy, instruction input time and instruction input times based on all reference interaction instructions input by the examinee.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. An intelligent online experimental examination management platform, which is characterized by comprising:
The standard determining module is used for determining all standard investigation steps in all the investigation steps of the experiment to be investigated;
the personalized analysis module is used for determining all personalized investigation steps of the examinees and all corresponding personalized allowed interaction instructions based on the error experimental operation habits analyzed in the history examination records of each examinee;
The program generation module is used for generating an online experimental examination interaction program of the examinee based on all standard investigation steps and corresponding standard interaction permission instructions and all personalized investigation steps and corresponding personalized interaction permission instructions;
the operation scoring module is used for analyzing the experimental operation accuracy of the examinee from three dimensions based on all the reference interaction instructions received in the examination process when the examination instruction is received based on the online experimental examination interaction program, and determining the experimental examination score of the examinee based on the experimental operation accuracy;
the three dimensions comprise instruction input times and instruction input time and instruction input accuracy;
wherein, personalized analysis module includes:
The error step direct analysis submodule is used for determining a standard operation step of error operation of an examinee in an examinee history examination record, and determining all repeated steps and corresponding repeated times in all the first operation steps as the first operation step;
The error step fuzzy analysis submodule is used for carrying out fuzzy escape of different levels on all first operation steps based on all preset fuzzy escape modes in the fuzzy escape mode list, obtaining all step fuzzy semantics under the preset fuzzy escape level corresponding to each preset fuzzy escape mode, and counting all repeated semantics and corresponding repeated times under each preset fuzzy escape level;
The error operation habit determining submodule is used for taking the repeated steps with the repeated times not smaller than the first repeated times threshold value as error habit steps, taking the repeated semantics with the repeated times not smaller than the second repeated times threshold value corresponding to the preset fuzzy escape level as error habit semantics, and taking the error habit steps and the error habit semantics as error experiment operation habits;
The personalized investigation target determination submodule is used for determining all personalized investigation steps of the examinee and all corresponding personalized allowed interaction instructions in all the investigation steps of the experiment to be investigated based on the error experiment operation habit.
2. The intelligent online experimental examination management platform of claim 1, wherein the standard determination module comprises:
The operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be examined, and performing operation decomposition on the standard operation process video to acquire all the step which can be examined;
the step screening submodule is used for screening all standard investigation steps from all the investigation steps based on investigation step selection instructions input by the authorized communication end.
3. The intelligent online experimental examination management platform of claim 1, wherein the standard determination module comprises:
The video operation analysis sub-module is used for acquiring a standard operation process video of an experiment to be examined, and performing operation decomposition on the standard operation process video to acquire all the step which can be examined;
The historical examination question analysis submodule is used for acquiring historical examination questions in a preset form of an experiment to be examined, and taking the ratio of the examination times of each step capable of being examined in all the historical examination questions to the total number of the historical examination questions as the examination frequency-order ratio of each step capable of being examined;
and the standard investigation step determination module is used for taking the investigation step of which the investigation frequency ratio exceeds the investigation frequency ratio threshold value as the standard investigation step.
4. The intelligent on-line experimental exam management platform of claim 1, wherein the personalized research objective determination sub-module comprises:
the first step screening unit is used for determining the same assayable steps as the error habit steps in the error experiment operation habits in all assayable steps of the experiment to be examined, and taking the assayable steps as first personalized investigation steps;
The step fuzzy escape unit is used for carrying out fuzzy escape of different levels on all the assayable steps of the experiment to be inspected based on all the preset fuzzy escape modes in the fuzzy escape mode list, and obtaining the fuzzy semantics of the assayable steps of each assayable step under the preset fuzzy escape level corresponding to the preset fuzzy escape mode;
The second step screening unit is used for taking at least one step which is included in all the step which can be inspected and has the same fuzzy meaning as the error habit meaning under the corresponding preset fuzzy escape level in the error experiment operation habit as a second personalized inspection step;
The interaction instruction determining unit is used for determining all personalized interaction allowing instructions corresponding to each personalized investigation step based on the history examination record;
the personalized investigation step comprises a first personalized investigation step and a second personalized investigation step.
5. The intelligent on-line experimental examination management platform of claim 4, wherein the interactive instruction determining unit comprises:
The first misleading option determining subunit is used for retrieving personalized error operation executed by the examinee in the standard operation step same as the first personalized investigation step from the history examination record as a personalized misleading operation option of the corresponding first personalized investigation step;
The second misleading option determining subunit is used for retrieving personalized error operations executed by the examinee in all standard operation steps with the same step fuzzy semantics under the same preset fuzzy escape level as the second personalized investigation step from the history examination record as personalized misleading operation options of the corresponding second personalized investigation step;
And the interaction instruction determining subunit is used for determining all the personalized allowed interaction instructions corresponding to each personalized investigation step based on the personalized misleading operation options corresponding to each personalized investigation step.
6. The intelligent online experimental examination management platform according to claim 5, wherein the interaction instruction determining subunit determines, based on misleading operation options corresponding to each personalized investigation step, all the methods of allowing interaction instructions for personalization corresponding to each personalized investigation step, including:
the standard misleading operation options of each personalized investigation step are called out from the misleading option library;
Based on the standard operation instruction, the personalized misleading operation option and the standard misleading operation option of each personalized investigation step, respectively generating and summarizing corresponding interactable instructions to obtain all personalized allowed interaction instructions corresponding to each personalized investigation step.
7. The intelligent online experimental examination management platform of claim 1, wherein the program generation module comprises:
the step sequencing sub-module is used for sequencing all standard investigation steps and all personalized investigation steps based on the execution sequence of all the investigation steps of the experiment to be investigated, so as to obtain a standard investigation single-line logic diagram;
The execution logic perfecting sub-module is used for carrying out side extension on each step node in the standard investigation single-line logic diagram based on the standard interaction allowing instruction corresponding to each standard investigation step and the personalized interaction allowing instruction corresponding to each personalized investigation step to obtain an online experimental examination interaction comprehensive logic diagram of an examinee;
And the program generation sub-module is used for generating an online experiment examination interaction program of the examinee based on the online experiment examination interaction comprehensive logic diagram of the examinee.
8. The intelligent on-line experimental exam management platform of claim 1, wherein the operation scoring module comprises:
The instruction receiving sub-module is used for receiving a reference interaction instruction input by an examinee in real time based on an online experiment examination interaction program;
And the score evaluation sub-module is used for triggering and displaying corresponding interactive response animation based on the reference interactive instruction and the online experimental examination interactive program, analyzing the experimental operation accuracy of the examinee from three dimensions based on all the reference interactive instructions received in the examination process until the latest received reference interactive instruction is the paper-passing instruction, and determining the experimental examination score of the examinee based on the experimental operation accuracy.
9. The intelligent online experimental examination management platform of claim 8, wherein the performance evaluation sub-module analyzes experimental operation accuracy of the examinee from three dimensions, and the method for determining experimental examination performance of the examination based on the experimental operation accuracy comprises:
Based on the accuracy of all the reference interaction instructions received in the examination process, the accuracy is regarded as the experimental operation accuracy of the test taker in the dimension of the instruction input accuracy;
Based on all reference interaction instructions received in the examination process, the ratio of the total number of erroneous reference interaction instructions input by the examinee in each investigation step in the experiment to be examined to the threshold value of the input times of the erroneous interaction instructions is taken as the time dimension grading value of the examinee in the corresponding investigation step, and the difference between the average value of the time dimension grading values of 1 and the examinee in all investigation steps is taken as the experimental operation accuracy of the examinee in the instruction input time dimension;
Determining the time required for inputting the instructions of the final interaction instructions of all the investigation steps in the test to be examined by the examinee based on all the reference interaction instructions received in the test process, taking the difference value of the ratio of the time required for inputting the instructions of the final interaction instructions of each investigation step by the examinee to the time required for inputting the standard instructions of the corresponding investigation step as the time dimension grading value of the examinee in the corresponding investigation step, and taking the difference value between the average value of the time dimension grading values of 1 and the examinee in all the investigation steps as the experimental operation accuracy of the examinee in the time dimension of the instruction input;
taking the average value of the experimental operation accuracy of the examinee in the instruction input accuracy dimension, the instruction input times dimension and the instruction input time dimension as the experimental examination score of the examinee.
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