Online experiment teaching system for exploratory and personalized learning

Abstract

The invention discloses an online experiment teaching system for exploratory and personalized learning. The system comprises a platform, a student client and a teacher client. The platform comprises adatabase, an association rule mining algorithm module, a personalized service module, a data analysis module and a visualization module. A platform function: the platform comprises two functions of online experiment teaching infrastructure and personalized learning guidance; the online experiment teaching infrastructure is mainly used for serving a teaching mode of combining online and offline experiments, provides functions of class management, homework arrangement, homework online correction, score statistics and the like for teachers by using an online evaluation technology, replaces the teachers to complete repeated mechanical working parts, and helps the teachers to better carry out online experiment teaching. The personalized learning guidance means that customized learning guidanceis provided for students according to personal learning conditions of the students through a data mining related method, and the students are helped to better carry out online autonomous explorationtype learning.

Description

technical field [0001] The invention relates to the related field of building an online teaching platform for self-inquiry of students. Background technique [0002] Compared with theoretical teaching, experimental teaching highlights students' dominant position and uses both hands and brains, which is more helpful for students to construct their own scientific knowledge system; highlighting research and exploration is more conducive to cultivating students' innovative consciousness and ability; highlighting observation and thinking, comprehensive design Combined with multivariate analysis, it is more helpful to improve students' comprehensive scientific quality; highlighting the high-level compound function of knowledge, emotion, intention, and ability is more conducive to students' comprehensive and comprehensive development. The time, efficiency, and benefits of hands-on experiments for college students, especially engineering students, should become an important indicato...

AI Technical Summary

Problems solved by technology

Beginners have a weak programming foundation, and their ability to learn programming-related knowledge is weaker than students participating in informatics competitions. At present, most of the online evaluation platform test bank questions are difficult, the difficulty span between questions is large, and the knowledge points are mixed and lack of classification. It is difficult to find suitable topics and learning routes on the platform

[0007] 2) Cannot adapt to different learning abilities of students

Using the traditional online evaluation platform for experimental teaching, students with strong learning ability can better adapt to the type and difficulty of the platform questions, while students with weaker learning ability may not be able to obtain the knowledge points of experimental teaching because it is difficult to adapt to the difficulty of the platform questions. The foundation is even weaker. If teachers fail to discover and help students in time, it may cause a vicious circle

[0008] 3) It cannot well meet the needs of experimental teaching

At the same time, the statistics and analysis of the class learning situation on the traditional online evaluation platform are almost zero, so that teachers need to spend extra time to complete the statistics and analysis of students' homework

[0009] In summary, although the traditional online platform can be used in the experimental teaching of programming teaching in modern colleges and universities, it is only used as a tool for correcting homework, and it cannot well explore the potential value of a large amount of data in its database, let alone programming and other subjects. Provide more help in experimental teaching

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