Polynomial Regression and Response Surface Model Analysis on the Impact of the Consistency of Self-regulated Learning and Interaction on Online Learning Performance Based on Python

DOI

10.2991/978-94-6463-024-4_99How to use a DOI?

Keywords

self-regulated learning; interaction; online learning performance; self-efficacy; Python; polynomial regression and response surface model

Abstract

Based on the constructivism learning theory, through the use of Python computer technology for polynomial regression and response surface modelling, data analysis and graphic rendering, this study clarifies the differential influence of the configuration of self-regulated learning (SRL) and three kinds of interaction (INT) on online learning performance (OLP) and the mediating effect of self-efficacy (SFE). A total of 765 students in electrical-related majors participated in this online survey. The results show that: firstly, the higher the consistency of SRL and student-teacher interaction (STI), the more conducive to the improvement of SFE; when the consistency of the two is higher, the configuration of “high SRL-high STI” on SFE is stronger than the configuration of “low SRL-low STI”; when the two are in inconsistency, the configuration of “high SRL-low STI” has a stronger effect on SFE than the configuration of “low SRL-high STI”; Secondly, when the consistency of SFE and student-student interaction (SSI) is high, the configuration of “high SRL-high SSI” has a stronger effect on SFE than the configuration of “low SRL-low SSI”. Thirdly, SFE plays a mediating role in the configuration of SFE and three kinds of interaction on OLP. The practical significance and the specific mechanism of teachers’ training students to become better self-regulated and high-performance students in online courses, as well as teachers’ improving the quality of online courses also be discussed in the context of intelligent and distance education. And an application reference for computer modelling and data analysis also be provided.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ying Tian
AU  - Xiaoying Song
AU  - Kai Zhang
PY  - 2022
DA  - 2022/12/12
TI  - Polynomial Regression and Response Surface Model Analysis on the Impact of the Consistency of Self-regulated Learning and Interaction on Online Learning Performance Based on Python
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 951
EP  - 962
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_99
DO  - 10.2991/978-94-6463-024-4_99
ID  - Tian2022
ER  -