Research on Blended Teaching Evaluation based on Data Analysis

DOI

10.2991/assehr.k.220704.153How to use a DOI?

Keywords

blended teaching; data mining; evaluation model; higher-order learning

Abstract

Blended teaching combines the advantages of online learning and classroom teaching, pays more attention to students’ learning process and ability cultivation, and diversified teaching means and methods are more conducive to high-order learning for students. Based on the learning data of students in the blended teaching process of the course “fundamentals of computer”, this paper uses data mining and machine learning algorithm to mine the historical learning data, find meaningful patterns and rules, and carry out evaluation research under the blended teaching model. This paper also analyzes the evaluation indicators of students’ learning status, establishes the supervision model and assessment model, and constructs the hypothesis of the relationship between online learning behaviour and blended learning performance, providing guidance for teachers to carry out blended teaching.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Shen Ning
AU  - Hua Xiang
AU  - Zhi-cheng Li
PY  - 2022
DA  - 2022/07/11
TI  - Research on Blended Teaching Evaluation based on Data Analysis
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 847
EP  - 851
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.153
DO  - 10.2991/assehr.k.220704.153
ID  - Ning2022
ER  -