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Learning behavior feature-based SPOC (small private online course) student weekly performance prediction method and device

A prediction method and technology for students, applied in the field of online learning, can solve problems such as insufficient research work, not seen widespread implementation, and difficulty for students to learn, so as to achieve easy understanding, improve prediction accuracy, and improve prediction accuracy. Effect

Inactive Publication Date: 2017-09-19
BEIHANG UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, an unavoidable problem in introducing online courses into traditional teaching is how teachers can obtain teaching feedback from students in a timely manner, because hybrid teaching transfers part of the courses online, which is separated from the supervision of classrooms and teachers, and it is difficult to ensure that students can Study according to the expected plan
SPOC's teaching mode can easily manage students' evaluation results and record students' online learning browsing records, but the research work on the prediction and analysis of SPOC students' performance is still insufficient, especially the research on predicting students' weekly performance is still very rare. Nor has it been widely implemented

Method used

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  • Learning behavior feature-based SPOC (small private online course) student weekly performance prediction method and device
  • Learning behavior feature-based SPOC (small private online course) student weekly performance prediction method and device
  • Learning behavior feature-based SPOC (small private online course) student weekly performance prediction method and device

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Embodiment Construction

[0039] The implementation process of the present invention will be described below in conjunction with the drawings and embodiments.

[0040] Assuming that the course is divided into M weeks, students need to complete corresponding teaching tasks in the online course every week, such as watching teaching videos, browsing teaching materials, and completing homework after class. And the teacher will test the students every week to get the performance of the students in the current week. When the course reaches m weeks, use the data of the previous m weeks of the course and the data of the first m weeks of this semester to predict the students' weekly test performance using machine learning methods. Both M and m are positive numbers.

[0041] Such as figure 1 As shown, the weekly performance prediction method of SPOC students based on learning behavior features of the present invention mainly includes five steps: data collection, feature extraction, preparation of training set ...

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Abstract

The present invention discloses a learning behavior feature-based SPOC (small private online course) student weekly performance prediction method and device and belongs to the online learning field. Log data in the online courses of students are collected; the learning behavior features of the students are extracted from the log data so as to train a plurality of data mining models; and a data mining model of which the performance is optimal on a training set is adopted to predict the weekly performance of the students. Correspondingly, the prediction device of the present invention comprises a data acquisition module, a feature extraction module, a training data generation module and a prediction module. According to the learning behavior feature-based SPOC student weekly performance prediction method and device of the invention, compared with ordinary learning behavior features, the learning behavior features designed based on the learning habits of the students are integrated with the teaching experience of teachers, and therefore, the learning habits of the students in the online courses can be embodied, the improvement of the prediction accuracy of the prediction model can be facilitated, and the teachers can timely know students who have troubles in learning so as to adjust the difficulty of the courses and provide targeted counseling.

Description

technical field [0001] The invention belongs to the field of online learning, specifically, a method and device for predicting the weekly performance of SPOC students based on learning behavior characteristics. Background technique [0002] SPOC (Small Private Online Course) is a new teaching model, which combines traditional classroom education with online education, and uses the advantages of traditional courses to make up for the teaching and learning methods of MOOC (massive open online courses), high dropout rate and Insufficient in learning management and other aspects, while using MOOC educational resources to improve the quality of campus teaching. However, an unavoidable problem in introducing online courses into traditional teaching is how teachers can obtain teaching feedback from students in a timely manner, because hybrid teaching transfers part of the courses online, which is separated from the supervision of classrooms and teachers, and it is difficult to ensu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/20G06F17/30G06K9/66
CPCG06F16/287G06Q10/04G06Q10/063114G06Q50/205G06V30/194
Inventor 万寒丁军高小鹏刘康旭于乔野
Owner BEIHANG UNIV
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