Experiment teaching simulation evaluation method, system and equipment based on big data and medium
By using a big data-based experimental teaching simulation assessment method, students' distillation experiments can be objectively evaluated using experimental operation feature information and voice information. This solves the problems of visual fatigue and subjective judgment caused by manual assessment in middle school chemistry experiments, and achieves efficient and accurate assessment results.
Patent Information
- Application Number
- CN202511662580.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-02-06
AI Technical Summary
In existing technologies, the evaluation process for distillation experiments in high school chemistry experiments relies on manual evaluation, which results in long evaluation times and is prone to subjective judgment errors due to visual fatigue.
A big data-based experimental teaching simulation assessment method is adopted. By acquiring experimental operation characteristic information, student oral voice information, and experimental equipment information, big data analysis is used to objectively evaluate students' experimental operations, including the placement of items, operation sequence, experimental equipment usage sequence, and operation time, and a comprehensive evaluation score is calculated.
This approach enables objective and accurate evaluation of students' experimental operations, avoids subjective judgment errors caused by visual fatigue, and improves evaluation efficiency and accuracy.
Smart Images

Figure CN121481340A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of experimental teaching technology, and in particular to an experimental teaching simulation evaluation method, system, equipment and medium based on big data. Background Technology
[0002] Experimental teaching refers to a teaching method in which students acquire knowledge, skills, and experience by personally participating in experimental activities during the educational process. It emphasizes the importance of hands-on operation. Through a series of activities such as observing experimental phenomena, operating experimental equipment, recording experimental data, and analyzing experimental results, students can more intuitively and deeply understand and master scientific principles and technical knowledge. In the process of teaching distillation experiments in middle school chemistry, the teacher first demonstrates the distillation experiment, showing that distillation utilizes the different boiling points of the components in a mixed liquid. By heating, the lower boiling point component evaporates, and then condenses to achieve the purpose of purification. Then, students need to conduct simulated distillation experiments themselves to understand the operation process and experimental purpose of distillation.
[0003] In student experiments, students typically need to simulate the distillation process performed by the teacher before the teacher judges whether the student's model of distillation is correct. Currently, the student's experimental process requires teacher evaluation, which leads to lengthy evaluation times and visual fatigue. This visual fatigue can then cause subjective judgment errors. Therefore, a big data-based experimental teaching simulation evaluation method, system, equipment, and medium are needed to address the problem of subjective judgment errors caused by visual fatigue. Summary of the Invention
[0004] The purpose of this invention is to provide a method, system, device, and medium for experimental teaching simulation evaluation based on big data, so as to solve the technical problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution: A big data-based experimental teaching simulation assessment method includes: The experiment operation feature information, student oral voice information, and information on multiple experimental instruments are acquired. The experiment operation feature information includes information on the placement of items and information on the order of experiment operations. Based on big data, the preset standard distillation experimental steps are obtained, and the information of multiple experimental apparatuses is numbered according to the preset standard distillation experimental steps to obtain the standard experimental apparatus number sequence information. Obtain the corresponding standard step score according to the preset standard distillation experimental steps; The start and end times of the student's spoken voice information are obtained, and the duration of the experimental operation is obtained based on the start and end times of the spoken voice information. The thermometer placement position and condenser inlet position are obtained based on the item placement position information, and a comprehensive position score is obtained based on the thermometer placement position and condenser inlet position. The current experimental apparatus operation number information is obtained based on the experimental operation sequence information, and the step deviation rate is obtained by comparing the current experimental apparatus operation number information with the standard experimental apparatus number sequence information. The current operation step score is obtained based on the step deviation rate and the standard step score. The overall completion score is calculated based on the comprehensive location score, the current operation step score, and the experimental operation time. Determine the relationship between the overall completion value and the preset overall completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
[0006] Preferably, the step of numbering the information of multiple experimental apparatuses according to preset standard distillation experimental procedures to obtain standard experimental apparatus number sequence information includes: Based on information on multiple experimental apparatus and pre-defined standard distillation experimental procedures, obtain the experimental apparatus that appears at each step of the experimental operation; The experimental instruments appearing in each step of the experimental operation are numbered according to a preset order of appearance to obtain standard experimental instrument numbering sequence information.
[0007] Preferably, the step of obtaining the thermometer placement position and the condenser inlet position based on the item placement position information includes: The diameter of the vapor outlet of the inner bottle of the distillation flask is obtained based on the placement information of the items, and the midpoint of the corresponding diameter is obtained based on the diameter of the vapor outlet of the inner bottle, and the midpoint of the diameter is used as the origin of the coordinate system. By extending horizontal lines to both sides from the midpoint of the diameter, we obtain horizontally extended lines. Obtain the position of the center of the thermometer bulb, and project the center of the bulb onto a horizontally extended straight line to obtain the connection distance; The coordinates of the center of the sphere are calculated based on the origin and the connecting distance, and the coordinates of the center of the sphere are used as the placement position of the thermometer. The image of the condenser tube is acquired by a camera and then grayscale is processed to obtain a black image and a white image. The black image represents the area of the water inlet and the white image represents the area of the condenser tube that is not filled with water. The position corresponding to the black image is taken as the water inlet position of the condenser pipe.
[0008] Preferably, after the step of obtaining the thermometer placement position and the condenser inlet position based on the item placement position information, the method includes: The vapor outlet area of the inner bottle of the distillation flask is obtained based on the diameter of the vapor outlet of the inner bottle, and the vapor outlet area of the inner bottle is horizontally stretched to obtain a cylinder. Determine whether the coordinates of the sphere's center coincide with those of the cylinder; If the coordinates of the center of the sphere do not coincide with those of the cylinder, the student is deemed to have made an error and will have their first pre-set score deducted. If the coordinates of the sphere's center coincide with those of the cylinder, the student's operation is considered correct, and a pre-set first score is added. The positions of the upper outlet and the lower inlet are obtained from the image of the condenser tube, and the positions of the upper outlet and the lower inlet are compared with the black image for judgment. If the black image is located at the upper water outlet, the student is deemed to have made an error and a pre-set second score will be deducted. If the black image is located at the lower water inlet, the student's operation is considered correct, and a preset second score is added. The preset first score deduction and the preset first score addition are combined with the preset second score deduction and the preset second score addition to obtain multiple first comprehensive position scores, and a comprehensive position score table is established based on the multiple first comprehensive position scores. The current appliance usage status is obtained based on the thermometer placement position and the condenser inlet position. The current appliance usage status includes the current center position coordinates and the current condenser inlet position. The current appliance usage status is then compared with the position scoring table to obtain a comprehensive position score.
[0009] Preferably, the step of obtaining the step deviation rate by comparing the current experimental apparatus operation number information with the standard experimental apparatus number sequence information, and obtaining the current operation step score based on the step deviation rate and the standard step score, includes: The current experimental instrument operation number information is compared with the standard experimental instrument number sequence information to obtain the number of incorrect experimental instrument operation numbers; The number of standard numbers is obtained according to the sequence information of the standard experimental apparatus numbers, and the step deviation rate is calculated according to the ratio of the number of incorrect experimental apparatus operation numbers to the number of standard numbers. The score for the current operation step is calculated based on the step deviation rate and the standard step score, wherein the calculation formula is: ; Where c(f) represents the score of the current operation step, F(z) represents the score of the standard step, and YC represents the step deviation rate.
[0010] Preferably, the step of calculating the comprehensive completion value based on the comprehensive location score, the current operation step score, and the experimental operation duration includes: Obtain the corresponding comprehensive location score weighting factor based on the comprehensive location score; Obtain the corresponding weighting factor for the current operation step score based on the current operation step score. The comprehensive completion score is calculated based on the overall location score, the current operation step score, the experimental operation duration, the overall location score weighting factor, and the current operation step score weighting factor. The calculation formula is as follows: ; Where w(c) represents the overall completion score, w(z) represents the overall position score, a represents the overall position score weighting factor, c(f) represents the current operation step score, b represents the current operation step score weighting factor, and s represents the experimental operation duration.
[0011] This application also provides a big data-based experimental teaching simulation assessment system, including: The first acquisition module is used to acquire experimental operation feature information, student oral voice information, and information on multiple experimental instruments, wherein the experimental operation feature information includes information on the placement of items and information on the order of experimental operations. The second acquisition module is used to acquire preset standard distillation experimental steps based on big data, and to number multiple experimental apparatus information according to the preset standard distillation experimental steps to obtain standard experimental apparatus number sequence information. The third acquisition module is used to acquire the corresponding standard step score according to the preset standard distillation experimental steps. The fourth acquisition module is used to acquire the start time and end time of the student's oral speech information, and to acquire the duration of the experimental operation based on the start time and end time of the oral speech. The fifth acquisition module is used to acquire the thermometer placement position and the condenser inlet position based on the item placement position information, and to acquire a comprehensive position score based on the thermometer placement position and the condenser inlet position. The sixth acquisition module is used to acquire the current experimental instrument operation number information according to the experimental operation sequence information, and to acquire the step deviation rate by comparing the current experimental instrument operation number information with the standard experimental instrument number sequence information, and to acquire the current operation step score according to the step deviation rate and the standard step score; The first calculation module is used to calculate the comprehensive completion value based on the comprehensive position score, the current operation step score, and the experimental operation time. The first judgment module is used to determine the relationship between the overall completion value and the preset overall completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
[0012] Preferably, the second acquisition module includes: The first acquisition unit is used to acquire the experimental equipment that appears in each step of the experimental operation based on multiple experimental equipment information and preset standard distillation experimental steps. The first numbering unit is used to number the experimental instruments that appear in each step of the experimental operation according to the preset order of appearance, so as to obtain the standard experimental instrument numbering sequence information.
[0013] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.
[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.
[0015] The beneficial effects of this application are as follows: This invention first obtains experimental operation feature information, student oral voice information, and information on multiple experimental instruments. The experimental operation feature information includes the placement information of the items and the sequence information of the experimental operation. Then, it obtains the experimental operation duration based on the student's oral voice information. Next, it obtains the thermometer placement position and the condenser inlet position based on the item placement information, and obtains a comprehensive position score based on the thermometer placement position and the condenser inlet position. Then, it obtains the score for the current operation step based on the experimental operation sequence information. Next, it calculates a comprehensive completion value based on the comprehensive position score, the current operation step score, and the experimental operation duration. Finally, it judges the relationship between the comprehensive completion value and a preset comprehensive completion value. If it is greater than the preset comprehensive completion value, the generated experimental evaluation result is excellent; if it is equal to the preset comprehensive completion value, the generated experimental evaluation result is satisfactory; if it is less than the preset comprehensive completion value, the generated experimental evaluation result is unsatisfactory. In this way, the comprehensive completion value can objectively and accurately evaluate students' experimental operations without requiring teachers to evaluate each student individually, thus avoiding the problem of subjective judgment errors caused by visual fatigue during long evaluation periods. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of a method flow according to an embodiment of this application.
[0017] Figure 2 This is a schematic diagram of the system structure according to an embodiment of this application.
[0018] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of this application.
[0019] Figure 4 This is a schematic diagram related to a distillation experiment according to an embodiment of this application.
[0020] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0021] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0022] like Figure 1 As shown, this application provides a big data-based experimental teaching simulation assessment method, including: S1. Obtain experimental operation feature information, student oral voice information, and information on multiple experimental instruments, wherein the experimental operation feature information includes information on the placement of items and information on the order of experimental operations; S2. Obtain the preset standard distillation experimental steps based on big data, and number the information of multiple experimental apparatus according to the preset standard distillation experimental steps to obtain the standard experimental apparatus number sequence information. S3. Obtain the corresponding standard step score according to the preset standard distillation experimental steps; S4. Obtain the start time and end time of the student's spoken voice information, and obtain the experimental operation duration based on the start time and end time of the spoken voice. S5. Obtain the thermometer placement position and condenser inlet position based on the item placement position information, and obtain a comprehensive position score based on the thermometer placement position and condenser inlet position. S6. Obtain the current experimental instrument operation number information according to the experimental operation sequence information, and obtain the step deviation rate by comparing the current experimental instrument operation number information with the standard experimental instrument number sequence information. Obtain the current operation step score according to the step deviation rate and the standard step score. S7. Calculate the comprehensive completion value based on the comprehensive location score, the current operation step score, and the experimental operation time. S8. Determine the relationship between the overall completion value and the preset overall completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
[0023] As described in steps S1-S8 above, during student experiments, students typically need to simulate the teacher's operation and judge whether the steps are correct. Currently, student experiments require teacher evaluation, which leads to lengthy evaluation times and visual fatigue, potentially causing subjective errors. This method's experimental teaching simulation is primarily applied to distillation experiments in junior high school chemistry. Therefore, this invention first acquires experimental operation characteristic information, student verbal descriptions, and information on multiple experimental apparatus. The experimental operation characteristic information includes the placement of items and the order of experimental operations. The placement of items and the sequence of experimental operations can quantify the steps of student examinations for easier subsequent evaluation. Next, based on big data, a preset standard distillation experimental procedure is obtained, and multiple experimental apparatus are numbered according to this procedure to obtain a standard apparatus numbering sequence. This sequence allows for easy determination of whether the apparatus picked up by the student at each step conforms to the standard procedure. Then, the start and end times of the student's spoken audio are obtained, and the experimental operation time is calculated based on these times. The experimental operation time can then be used to assess the student's proficiency in the experimental procedure; a shorter operation time indicates greater mastery of the experimental procedure. The higher the proficiency in mastering the process, the higher the corresponding score. During the distillation experiment, the thermometer must be positioned at the vapor outlet of the inner bottle of the distillation flask to accurately measure the vapor temperature. The vapor temperature accurately reflects the boiling point of the compound being distilled. Different compounds evaporate at different temperatures due to their different boiling points during distillation. Accurate vapor temperature measurement ensures separation, distinguishing compounds with different boiling points and achieving purification. Furthermore, the water inlet of the condenser must enter from the bottom; incorrect water inlet will affect vapor condensation. Therefore, these two steps are crucial for the success of the experiment. Thus, it is necessary to obtain the thermometer based on the placement information of the items mentioned above. The placement of the thermometer and the water inlet of the condenser are used to obtain a comprehensive positional score. Scoring these two positions separately reflects the accuracy of the student's operation, providing an important basis for evaluating their performance. Next, the current experimental apparatus operation number is obtained based on the experimental operation sequence information. The deviation rate is calculated by comparing this number with the standard experimental apparatus number sequence information. The current operation step score is then calculated based on this deviation rate and the standard step score. This allows for scoring each step of the student's operation based on the current operation step score, and the quantified scoring of each step enables precise evaluation of the student's experimental performance.Next, a comprehensive completion score is calculated based on the overall location score, the current operation step score, and the experiment duration. By comprehensively considering these factors, a holistic evaluation result can be obtained, reflecting the overall quality of the student's experiment. The comprehensive completion score is then compared to a preset comprehensive completion score. If it is greater, the evaluation result is excellent; if equal, it is satisfactory; and if less, it is unsatisfactory. This comprehensive completion score provides an objective and accurate assessment of student experiments, eliminating the need for teachers to evaluate each student individually. This avoids subjective judgment errors caused by visual fatigue during prolonged evaluations.
[0024] In one embodiment, step S2, which involves numbering multiple experimental apparatus information according to preset standard distillation experimental procedures to obtain standard experimental apparatus number sequence information, includes: S201. Based on information on multiple experimental apparatus and preset standard distillation experimental procedures, obtain the experimental apparatus that appears at each step of the experimental operation. S202. Number the experimental instruments that appear in each step of the experimental operation according to the preset order of appearance to obtain the standard experimental instrument numbering sequence information.
[0025] As described in steps S201-S202 above, this invention obtains the experimental equipment that appears in each step of the experimental operation based on multiple experimental equipment information and preset standard distillation experimental steps. In this way, the order of use of the experimental equipment in the operation is clarified by numbering, ensuring that each step of the operation is carried out in accordance with the established standard. Then, the experimental equipment that appears in each step of the experimental operation is numbered according to the preset order of appearance to obtain standard experimental equipment numbering order information. The obtained standard experimental equipment numbering order information can be used as a quantitative indicator for evaluating students' experimental operation. Through detailed calculation, the evaluation results can be made more objective and accurate.
[0026] In one embodiment, step S5, which involves obtaining the thermometer placement position and the condenser inlet position based on the item placement position information, includes: S501. Obtain the diameter of the vapor outlet of the inner bottle of the distillation flask according to the placement information of the item, and obtain the corresponding midpoint of the diameter according to the diameter of the vapor outlet of the inner bottle, and use the midpoint of the diameter as the origin of the coordinate system. S502. Extend horizontal lines to both sides from the midpoint of the diameter to obtain horizontally extended lines; S503. Obtain the center position of the thermometer bulb and project the center position perpendicularly to the horizontally extended straight line to obtain the connection distance; S504. Calculate the coordinates of the center of the sphere based on the origin and the connection distance, and use the coordinates of the center of the sphere as the placement position of the thermometer; S505. Acquire images of the condenser tube based on the camera, and perform grayscale processing on the condenser tube images to obtain a black image and a white image. The black image represents the area of the water inlet, and the white image represents the area of the condenser tube that is not filled with water. S506. The position corresponding to the black image is taken as the water inlet position of the condenser pipe.
[0027] As described in steps S501-S506 above, the thermometer placement is for accurately measuring the vapor temperature and ensuring separation effect and distinguishing compounds with different boiling points. The condenser inlet position is for determining the location of the cooling water inlet. An incorrect cooling water inlet position will affect vapor condensation. Therefore, it is necessary to accurately determine the thermometer placement and condenser inlet position to evaluate the student's distillation experiment. The specific steps are as follows: First, obtain the diameter of the vapor outlet of the inner bottle of the distillation flask, and then obtain the corresponding midpoint of the diameter based on the diameter of the inner bottle vapor outlet. Use the midpoint of the diameter as the origin of the coordinate system. Then, extend a horizontal straight line to both sides based on the midpoint of the diameter to obtain the horizontally extended straight line (e.g., ...). Figure 4 As shown in the diagram, a horizontally extended straight line provides a reference for subsequent vertical connections. Next, the center position of the thermometer bulb is obtained, and the center position is projected perpendicularly to the horizontally extended straight line to obtain the connection distance. Finally, the coordinates of the bulb's center position are calculated based on the origin and the connection distance, and these coordinates are used as the thermometer placement position. The thermometer placement position can be used for subsequent evaluation, making important judgments for evaluating subsequent experimental operations. Then, an image of the condenser tube is acquired using a camera, and the image is processed into grayscale to obtain a black image and a white image. The black image represents the area of the water inlet, and the white image represents the area of the condenser tube not filled with water. Finally, the position corresponding to the black image is used as the water inlet position of the condenser tube. This allows for the determination of whether the water flow operation during the student's experiment is normal, thus effectively evaluating the student's experimental procedures.
[0028] In one embodiment, after step S5 of obtaining the thermometer placement position and the condenser inlet position based on the item placement position information, the following is included: S507. Obtain the vapor outlet area of the inner bottle of the distillation flask according to the diameter of the vapor outlet of the inner bottle, and stretch the vapor outlet area of the inner bottle horizontally to obtain a cylinder. S508. Determine whether the coordinates of the sphere's center coincide with those of the cylinder; If the coordinates of the center of the sphere do not coincide with those of the cylinder, the student is deemed to have made an error and will have their first pre-set score deducted. If the coordinates of the sphere's center coincide with those of the cylinder, the student's operation is considered correct, and a pre-set first score is added. S509. Obtain the position of the upper water outlet and the position of the lower water inlet based on the image of the condenser tube, and compare the position of the upper water outlet and the position of the lower water inlet with the black image for judgment. If the black image is located at the upper water outlet, the student is deemed to have made an error and a pre-set second score will be deducted. If the black image is located at the lower water inlet, the student's operation is considered correct, and a preset second score is added. S5010. The deduction of the preset first score and the addition of the preset first score are arranged and combined with the deduction of the preset second score and the addition of the preset second score to obtain multiple first comprehensive position scores, and a comprehensive position score table is established based on the multiple first comprehensive position scores. S5011. Obtain the current appliance usage status based on the thermometer placement position and the condenser inlet position, wherein the current appliance usage status includes the current center position coordinates and the current condenser inlet position, and compare the current appliance usage status with the position scoring table to obtain the comprehensive position score.
[0029] As described in steps S507-S5011 above, the present invention first obtains the vapor outlet area of the inner bottle of the distillation flask based on the diameter of the vapor outlet of the inner bottle, and then horizontally stretches the vapor outlet area of the inner bottle to obtain a cylinder (e.g., Figure 4(As shown), then determine whether the coordinates of the sphere's center coincide with the cylinder. If the coordinates of the sphere's center do not coincide with the cylinder, the student is deemed to have made an error and a preset first point is deducted. If the coordinates of the sphere's center coincide with the cylinder, the student is deemed to have performed the operation correctly and a preset first point is added. In this way, the student's experimental operation can be scored based on the coordinates of the sphere's center, which facilitates the evaluation of the student's overall experimental operation. Next, obtain the positions of the upper outlet and lower inlet from the image of the condenser tube, and compare the positions of the upper outlet and lower inlet with the black image. If the black image is at the upper outlet position, the student is deemed to have made an error and a preset second point is deducted. If the black image is at the lower inlet position, the student is deemed to have performed the operation correctly and a preset second point is added. In this way, the student's experimental operation can be scored based on the positions of the upper outlet and lower inlet. The location of the water inlet is used to re-score students' experimental operations, facilitating accurate evaluation of their overall experimental performance. Since different combinations of the above steps result in varying scores, the deduction of a preset first score and the addition of a preset first score are combined with the deduction of a preset second score and the addition of a preset second score to obtain multiple first comprehensive position scores. A comprehensive position score table is then established based on these multiple first comprehensive position scores. The current instrument usage status is obtained based on the thermometer placement and the condenser inlet position, including the current coordinates of the sphere's center and the current condenser inlet position. This current instrument usage status is compared with the comprehensive position score table to obtain a comprehensive position score. This comprehensive position score can then be used to assist in evaluating students' experimental operations and provide a basis for the final evaluation of the experimental operation steps.
[0030] In one embodiment, step S6, which involves obtaining the step deviation rate by comparing the current experimental apparatus operation number information with the standard experimental apparatus number sequence information, and obtaining the current operation step score based on the step deviation rate and the standard step score, includes: S601. Compare the current experimental instrument operation number information with the standard experimental instrument number sequence information to obtain the number of incorrect experimental instrument operation numbers; S602. Obtain the number of standard numbers according to the sequence information of the standard experimental apparatus numbers, and calculate the step deviation rate according to the ratio of the number of incorrect experimental apparatus operation numbers to the number of standard numbers; S603. Calculate the current operation step score based on the step deviation rate and the standard step score, wherein the calculation formula is: ; Where c(f) represents the score of the current operation step, F(z) represents the score of the standard step, and YC represents the step deviation rate.
[0031] As described in steps S601-S603 above, this invention compares the current experimental equipment operation number information with the standard experimental equipment number sequence information to obtain the number of incorrect experimental equipment operation numbers. By comparing the current experimental equipment operation number information with the standard experimental equipment number sequence information, possible errors made by students during the experimental operation can be identified, providing a basis for experimental operation evaluation. Then, the number of standard numbers is obtained based on the standard experimental equipment number sequence information, and the step deviation rate is calculated based on the ratio of the number of incorrect experimental equipment operation numbers to the number of standard numbers. Finally, the current operation step score is calculated based on the step deviation rate and the standard step score. For example, if an experiment has 10 steps, and the standard score for each step is 10 points, and a student only completes 8 steps due to some reason, and 2 of these 8 steps use incorrect experimental equipment, the step deviation rate = 2 / 10 = 0.2, and the current operation step score = 10 - 10 * 0.2 = 8. This quantification of step scores facilitates the evaluation of the student's experimental process.
[0032] In one embodiment, step S7, which calculates the comprehensive completion value based on the comprehensive location score, the current operation step score, and the experimental operation duration, includes: S701. Obtain the corresponding comprehensive location score weighting factor based on the comprehensive location score; S702. Obtain the corresponding current operation step score weighting factor based on the current operation step score. S703. Calculate the comprehensive completion score based on the comprehensive location score, the current operation step score, the experimental operation duration, the comprehensive location score weighting factor, and the current operation step score weighting factor, wherein the calculation formula is: ; Where w(c) represents the overall completion score, w(z) represents the overall position score, a represents the overall position score weighting factor, c(f) represents the current operation step score, b represents the current operation step score weighting factor, and s represents the experimental operation duration.
[0033] As described in steps S701-S703 above, the present invention first obtains the corresponding comprehensive position score weight factor based on the comprehensive position score, then obtains the corresponding current operation step score weight factor based on the current operation step score, and finally calculates the comprehensive completion value based on the comprehensive position score, the current operation step score, the experimental operation time, the comprehensive position score weight factor, and the current operation step score weight factor. In this way, the comprehensive completion value can objectively and accurately evaluate the students' experimental operations without requiring the teacher to evaluate each student, thereby avoiding the problem of subjective judgment errors caused by visual fatigue during long-term evaluation by the teacher.
[0034] like Figure 2 As shown, this application also provides a big data-based experimental teaching simulation evaluation system, including: The first acquisition module 1 is used to acquire experimental operation feature information, student oral voice information, and information on multiple experimental instruments, wherein the experimental operation feature information includes information on the placement of items and information on the order of experimental operations. The second acquisition module 2 is used to acquire preset standard distillation experimental steps based on big data, and to number multiple experimental apparatus information according to the preset standard distillation experimental steps to obtain standard experimental apparatus number sequence information. The third acquisition module 3 is used to acquire the corresponding standard step score according to the preset standard distillation experimental steps; The fourth acquisition module 4 is used to acquire the start time and end time of the student's oral speech information, and to acquire the duration of the experimental operation based on the start time and end time of the oral speech. The fifth acquisition module 5 is used to acquire the thermometer placement position and the condenser inlet position based on the item placement position information, and to acquire a comprehensive position score based on the thermometer placement position and the condenser inlet position. The sixth acquisition module 6 is used to acquire the current experimental instrument operation number information according to the experimental operation sequence information, and to acquire the step deviation rate by comparing the current experimental instrument operation number information with the standard experimental instrument number sequence information, and to acquire the current operation step score according to the step deviation rate and the standard step score; The first calculation module 7 is used to calculate the comprehensive completion value based on the comprehensive position score, the current operation step score, and the experimental operation duration. The first judgment module 8 is used to judge the relationship between the comprehensive completion value and the preset comprehensive completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
[0035] In one embodiment, the second acquisition module includes: The first acquisition unit is used to acquire the experimental equipment that appears in each step of the experimental operation based on multiple experimental equipment information and preset standard distillation experimental steps. The first numbering unit is used to number the experimental instruments that appear in each step of the experimental operation according to the preset order of appearance, so as to obtain the standard experimental instrument numbering sequence information.
[0036] like Figure 3As shown, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described experimental teaching simulation evaluation method based on big data.
[0037] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps described above for the experimental teaching simulation evaluation method based on big data.
[0038] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0039] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.
[0040] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.
Claims
1. A big data-based experimental teaching simulation assessment method, characterized in that, include: The experiment operation feature information, student oral voice information, and information on multiple experimental instruments are acquired. The experiment operation feature information includes information on the placement of items and information on the order of experiment operations. Based on big data, the preset standard distillation experimental steps are obtained, and the information of multiple experimental apparatuses is numbered according to the preset standard distillation experimental steps to obtain the standard experimental apparatus number sequence information. Obtain the corresponding standard step score according to the preset standard distillation experimental steps; Obtain the duration of the experiment; The thermometer placement position and condenser inlet position are obtained based on the item placement position information, and a comprehensive position score is obtained based on the thermometer placement position and condenser inlet position. The current experimental apparatus operation number information is obtained based on the experimental operation sequence information, and the step deviation rate is obtained by comparing the current experimental apparatus operation number information with the standard experimental apparatus number sequence information. The current operation step score is obtained based on the step deviation rate and the standard step score. The overall completion score is calculated based on the comprehensive location score, the current operation step score, and the experimental operation duration. Determine the relationship between the overall completion value and the preset overall completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
2. The experimental teaching simulation evaluation method based on big data according to claim 1, characterized in that, The step of numbering multiple experimental apparatus information according to preset standard distillation experimental procedures to obtain standard experimental apparatus number sequence information includes: Based on information on multiple experimental apparatus and pre-defined standard distillation experimental procedures, obtain the experimental apparatus that appears at each step of the experimental operation; The experimental instruments appearing in each step of the experimental operation are numbered according to a preset order of appearance to obtain standard experimental instrument numbering sequence information.
3. The experimental teaching simulation evaluation method based on big data according to claim 1, characterized in that, The step of obtaining the thermometer placement position and the condenser inlet position based on the item placement position information includes: The diameter of the vapor outlet of the inner bottle of the distillation flask is obtained based on the placement information of the items, and the midpoint of the corresponding diameter is obtained based on the diameter of the vapor outlet of the inner bottle, and the midpoint of the diameter is used as the origin of the coordinate system. By extending horizontal lines to both sides from the midpoint of the diameter, we obtain horizontally extended lines. Obtain the position of the center of the thermometer bulb, and project the center of the bulb onto a horizontally extended straight line to obtain the connection distance; The coordinates of the center of the sphere are calculated based on the origin and the connecting distance, and the coordinates of the center of the sphere are used as the placement position of the thermometer. The image of the condenser tube is acquired by a camera and then grayscale is processed to obtain a black image and a white image. The black image represents the area of the water inlet and the white image represents the area of the condenser tube that is not filled with water. The position corresponding to the black image is taken as the water inlet position of the condenser pipe.
4. The experimental teaching simulation evaluation method based on big data according to claim 3, characterized in that, After the step of obtaining the thermometer placement position and condenser inlet position based on the item placement position information, the following steps are included: The vapor outlet area of the inner bottle of the distillation flask is obtained based on the diameter of the vapor outlet of the inner bottle, and the vapor outlet area of the inner bottle is horizontally stretched to obtain a cylinder. Determine whether the coordinates of the sphere's center coincide with those of the cylinder; If the coordinates of the center of the sphere do not coincide with those of the cylinder, the student is deemed to have made an error and will have their first pre-set score deducted. If the coordinates of the sphere's center coincide with those of the cylinder, the student's operation is considered correct, and a pre-set first score is added. The positions of the upper outlet and the lower inlet are obtained from the image of the condenser tube, and the positions of the upper outlet and the lower inlet are compared with the black image for judgment. If the black image is located at the upper water outlet, the student is deemed to have made an error and a pre-set second score will be deducted. If the black image is located at the lower water inlet, the student's operation is considered correct, and a preset second score is added. The preset first score deduction and the preset first score addition are combined with the preset second score deduction and the preset second score addition to obtain multiple first comprehensive position scores, and a comprehensive position score table is established based on the multiple first comprehensive position scores. The current appliance usage status is obtained based on the thermometer placement position and the condenser inlet position. The current appliance usage status includes the current center position coordinates and the current condenser inlet position. The current appliance usage status is then compared with the position scoring table to obtain a comprehensive position score.
5. The experimental teaching simulation evaluation method based on big data according to claim 1, characterized in that, The step of obtaining the step deviation rate by comparing the current experimental apparatus operation number information with the standard experimental apparatus number sequence information, and obtaining the current operation step score based on the step deviation rate and the standard step score, includes: The current experimental instrument operation number information is compared with the standard experimental instrument number sequence information to obtain the number of incorrect experimental instrument operation numbers; The number of standard numbers is obtained based on the sequence information of the standard experimental apparatus numbers, and the step deviation rate is calculated based on the ratio of the number of incorrect experimental apparatus operation numbers to the number of standard numbers. The score for the current operation step is calculated based on the step deviation rate and the standard step score.
6. The experimental teaching simulation evaluation method based on big data according to claim 1, characterized in that, The step of calculating the comprehensive completion value based on the comprehensive location score, the current operation step score, and the experimental operation duration includes: Obtain the corresponding comprehensive location score weighting factor based on the comprehensive location score; Obtain the corresponding weighting factor for the current operation step score based on the current operation step score. The completion rate is calculated based on the comprehensive location score, the current operation step score, the experimental operation time, the comprehensive location score weighting factor, and the current operation step score weighting factor.
7. A big data-based experimental teaching simulation and evaluation system, characterized in that, include: The first acquisition module is used to acquire experimental operation feature information, student oral voice information, and information on multiple experimental instruments, wherein the experimental operation feature information includes information on the placement of items and information on the order of experimental operations. The second acquisition module is used to acquire preset standard distillation experimental steps based on big data, and to number multiple experimental apparatus information according to the preset standard distillation experimental steps to obtain standard experimental apparatus number sequence information. The third acquisition module is used to acquire the corresponding standard step score according to the preset standard distillation experimental steps. The fourth acquisition module is used to acquire the experimental operation duration; The fifth acquisition module is used to acquire the thermometer placement position and the condenser inlet position based on the item placement position information, and to acquire a comprehensive position score based on the thermometer placement position and the condenser inlet position. The sixth acquisition module is used to acquire the current experimental instrument operation number information according to the experimental operation sequence information, and to acquire the step deviation rate by comparing the current experimental instrument operation number information with the standard experimental instrument number sequence information, and to acquire the current operation step score according to the step deviation rate and the standard step score; The first calculation module is used to calculate the comprehensive completion value based on the comprehensive position score, the current operation step score, and the experimental operation time. The first judgment module is used to determine the relationship between the overall completion value and the preset overall completion value; If it is greater than that, the generated experimental evaluation result is excellent; If equal, the generated experimental evaluation result is qualified; If the result is less than the given value, the resulting experimental evaluation will be deemed unqualified.
8. The experimental teaching simulation and evaluation system based on big data according to claim 7, characterized in that, The second acquisition module includes: The first acquisition unit is used to acquire the experimental equipment that appears in each step of the experimental operation based on multiple experimental equipment information and preset standard distillation experimental steps. The first numbering unit is used to number the experimental instruments that appear in each step of the experimental operation according to the preset order of appearance, so as to obtain the standard experimental instrument numbering sequence information.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.
Citation Information
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