Learning Engagement and Academic Achievement—An Empirical Study Based on Structural Equation Modeling
- DOI
- 10.2991/978-94-6463-024-4_100How to use a DOI?
- Keywords
- learning engagement; academic achievement research; SEM model; regression analysis
- Abstract
Task-driven teaching is an important research field of teaching reform. From the perspective of participation, this study constructs a conceptual model of learning engagement from the dimensions of cognitive engagement, behavioural engagement and emotional engagement, and designs a learning engagement research scale. Select 366 students who participated in the task-oriented course - “ERP Enterprise Simulation Training Course” as the research sample, and process the collected data through SEM. The research shows that the conceptual model of learning participation has a good fit with the data. Correlation analysis shows that each dimension of participation has a correlation with academic achievement. Selecting academic achievement as the dependent variable, regression analysis shows that behavioural engagement has a significant positive correlation with academic achievement.
- 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.
Cite this article
TY - CONF AU - Zhang Sun AU - Jing Xiao PY - 2022 DA - 2022/12/12 TI - Learning Engagement and Academic Achievement—An Empirical Study Based on Structural Equation Modeling BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 963 EP - 971 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_100 DO - 10.2991/978-94-6463-024-4_100 ID - Sun2022 ER -