Construction and Application of Data Driven Analysis Model for Students' Mastery Level of Knowledge Points Based on Electronic Schoolbag

Autor: Minsheng Fan, Fati Wu, Luoying Huang, Baoyuan Yin
Rok vydání: 2019
Předmět:
Zdroj: 2019 International Joint Conference on Information, Media and Engineering (IJCIME).
DOI: 10.1109/ijcime49369.2019.00030
Popis: Students' mastery level of knowledge points is an important indicator reflecting their learning situations. Obtaining the mastery level of knowledge points is an important basis for realizing students' individualized learning and for improving students' learning situation and teachers' teaching quality. Based on the Rasch model, this research constructs the model for students' mastery level of knowledge points based on electronic schoolbag, and excavates and analyzes students' test scores understanding their mastery level of knowledge points. Through the application of this model on two monthly test scores of a middle school, the results confirmed that this model can well characterize students' mastery level of knowledge points. The construction and application the model for students' mastery level of knowledge points based on electronic schoolbag provides reference and ideas for students' individualized learning situation analysis and teacher's refined teaching implementation.
Databáze: OpenAIRE