CN-121981860-A - Control method and system for assisting students in learning

CN121981860ACN 121981860 ACN121981860 ACN 121981860ACN-121981860-A

Abstract

The invention belongs to the technical field of student learning monitoring, and particularly relates to a control method and a system for assisting student learning. The method includes performing a verification and adjustment procedure when a learning offset period is identified based on monitoring of a learning process, the verification and adjustment procedure including generating a feedback offset value based on learning content variation data corresponding within the learning offset period, and correcting a real-time status scale value using the feedback offset value. According to the invention, the learning offset period is identified through monitoring the learning process, the corresponding learning content change data in the period is obtained, the learning content change degree value is calculated, the positive or negative verification parameter is identified, and the offset state and the specific learning content change data are subjected to objective and quantized correlation analysis.

Inventors

Rao Aimin
LIU GUANHE
HUANG LINGLI
ZHAO CHUANXIN
GUO ZEQIANG
CHEN ZHEN

Assignees

安徽师范大学

Dates

Publication Date: 20260505
Application Date: 20260127

Claims (10)

1. A control method for assisting student learning is characterized in that the method comprises the steps of executing a verification and adjustment process when a learning offset period is identified based on monitoring of a learning process, wherein the verification and adjustment process comprises: The method comprises the steps of generating a feedback offset value based on corresponding learning content change data in a learning offset period, and correcting a real-time state scale value by using the feedback offset value; the step of generating the feedback offset value includes applying a preset conversion rule, converting the learning offset period into a verification period; Acquiring corresponding learning content change data in the verification time period, and calculating a learning content change degree value according to the learning content change data; and determining a forward check parameter when the learning content change degree value meets a preset check trigger condition, and generating a feedback offset value based on the forward check parameter.
2. The method of claim 1, wherein the step of identifying a learning offset period based on monitoring of the learning process comprises collecting real-time status scale values and aggregating the real-time status scale values to generate baseline data; the method includes dividing baseline data into a plurality of accumulation time intervals according to a time sequence, calibrating the plurality of accumulation time intervals to be in a normal state or an offset state respectively, and determining the accumulation time intervals calibrated to be in the offset state as learning offset periods.
3. The method according to claim 1, wherein the step of converting the learning offset period into the verification period by applying a preset conversion rule includes identifying a learning content change point in the learning content change data and setting the learning content change point as a reference point; Taking the datum point as a center, tracing forward a first preset time length to determine a first time section to be checked, and extending backward a second preset time length to determine a second time section to be checked; and merging the first time section to be checked and the second time section to be checked to form a checking time section.
4. The method for assisting student learning control according to claim 1, wherein the step of determining whether the learning content change degree value satisfies the preset check trigger condition includes determining whether the learning content change degree value is greater than a preset change degree threshold value, wherein the determining is performed by: And when the change rate is larger than a first preset change rate threshold value and the duration variance is larger than a first preset variance threshold value, judging that the change degree value of the learning content is larger than the preset change degree threshold value.
5. The method for assisting student learning control of claim 1 wherein generating a feedback offset value based on the forward check parameter comprises performing a correlation analysis of the forward check parameter with historical learning offset data formed based on a historical learning offset period to generate a candidate parameter set; The method comprises the steps of calculating correlation coefficients of candidate parameters in a candidate parameter set and historical learning offset data, screening candidate parameters with the correlation coefficients larger than a preset correlation threshold value from the candidate parameter set to determine the candidate parameters as final verification parameters, and generating feedback offset values based on the final verification parameters.
6. The method for assisting student learning control of claim 1 wherein determining the evaluation amount based on the feedback offset values generated in the preset statistical period comprises arranging the feedback offset values generated in the preset statistical period in time order to generate a time series of feedback offset values; In the time sequence, identifying a continuous time interval with the change rate smaller than a preset stability threshold value, and determining the interval with the longest duration as the maximum stability interval; and performing a preset weighting operation on the extracted feedback offset value to determine an evaluation value.
7. The method for assisting student learning control of claim 1 wherein determining the feedback time interval and the feedback intensity magnitude based on the assessment comprises comparing the assessment with a preset assessment threshold; And if the evaluation value is not greater than the preset evaluation value threshold, shortening the feedback time interval and increasing the feedback intensity amplitude.
8. A control system for assisting students in learning, the system comprising: the state monitoring module is used for monitoring a learning process to identify a learning offset period; The offset verification module is used for identifying the learning offset period for the response state monitoring module, generating a feedback offset value based on the corresponding learning content change data in the learning offset period, and correcting the real-time state scale value by using the feedback offset value; The effect evaluation module is used for determining an evaluation value based on the feedback offset value generated by the offset verification module in a preset statistical period; and the strategy adjustment module is used for determining a feedback time interval and a feedback intensity amplitude based on the evaluation quantity determined by the effect evaluation module.
9. The system of claim 1, wherein the status monitoring module is configured to collect real-time status metrics, aggregate the real-time status metrics to generate baseline data, divide the baseline data into a plurality of cumulative time intervals according to a temporal order; And determining the accumulated time intervals calibrated to be in the offset state as learning offset periods.
10. The system according to claim 1, wherein the offset verification module is configured to apply a preset conversion rule to convert the learning offset period into a verification period; The method includes the steps of obtaining learning content change data, calculating a learning content change degree value according to the learning content change data, determining a forward check parameter when the learning content change degree value meets a preset check trigger condition, and generating a feedback offset value based on the forward check parameter.

Description

Control method and system for assisting students in learning Technical Field The invention belongs to the technical field of student learning monitoring, and particularly relates to a control method and a system for assisting student learning. Background The intelligent teaching system builds a more efficient and flexible learning environment for students by comprehensively digitizing, networking and intelligentizing teaching and learning processes, and in the intelligent teaching system, real-time perception and state analysis are carried out on the learning process of the students, so that personalized guiding and self-adaptive intervention are realized, and teaching quality and learning effect are improved. In the prior art, in the aspects of effectively identifying and scheduling the learning state of the students in real time, subjective feedback of the students, such as on-line question and answer, state report or indirect observation of teachers, subjective bias is introduced, and fine states such as instantaneous dispersion of attention, difficulty in transient understanding and the like are difficult to capture, so that judgment distortion of the real learning state of the students is caused. The existing automatic monitoring system also lacks deep situation understanding capability, judges based on shallow behavior data such as page stay time or mouse click frequency, and cannot distinguish whether students are in a deep thinking state or a state of distraction, so that the deep thinking is misjudged as a stagnant misreport or a hidden and unfocused missed report cannot be identified, and unnecessary interference or interference loss occurs. In view of the above, the invention provides a control method and a system for assisting students to learn. Disclosure of Invention The invention aims to provide a control method for assisting students in learning, which is used for rapidly positioning the reason of abnormal learning state on the basis of identifying the abnormal learning state of the students and implementing accurate learning guidance. In order to achieve the purpose, the technical scheme adopted by the invention is that the control method for assisting students in learning comprises the steps of executing a verification and adjustment process when a learning offset period is identified based on monitoring of a learning process, wherein the verification and adjustment process comprises the following steps: The method comprises the steps of generating a feedback offset value based on corresponding learning content change data in a learning offset period, and correcting a real-time state scale value by using the feedback offset value; The step of generating the feedback offset value comprises the steps of applying a preset conversion rule to convert a learning offset period into a verification period, acquiring corresponding learning content change data in the verification period, and calculating a learning content change degree value according to the learning content change data; and determining a forward check parameter when the learning content change degree value meets a preset check trigger condition, and generating a feedback offset value based on the forward check parameter. Preferably, the step of identifying a learning offset period based on monitoring the learning process includes collecting real-time status scale values; the method includes dividing baseline data into a plurality of accumulation time intervals according to a time sequence, calibrating the plurality of accumulation time intervals to be in a normal state or an offset state respectively, and determining the accumulation time intervals calibrated to be in the offset state as learning offset periods. Preferably, the step of converting the learning offset period into the verification period by applying a preset conversion rule includes identifying a learning content change point in the learning content change data and setting the learning content change point as a reference point; Taking the datum point as a center, tracing forward a first preset time length to determine a first time section to be checked, and extending backward a second preset time length to determine a second time section to be checked; and merging the first time section to be checked and the second time section to be checked to form a checking time section. Preferably, the step of learning the content variation degree value to satisfy the preset check trigger condition includes determining whether the learning content variation degree value is greater than a preset variation degree threshold; wherein the determining is performed by calculating a change rate of the learning content change data and a duration variance of a corresponding period of time of the learning content change data; And when the change rate is larger than a first preset change rate threshold value and the duration variance is larger than a first preset variance threshold value, dete