关键词:
Students
摘要:
Online education is increasingly becoming a primary method for teachers and students to conduct regular teaching and learning in the post-pandemic era. Consequently, understanding students' engagement in online learning and its influencing factors is especially pivotal. This research aims to investigate the current status of online learning and its influencing factors among undergraduate computer science students at universities and suggests optimization strategies for online education. The study employs the TPACK model, behaviorist learning theory, learning engagement theory, and situated cognition learning theory as its theoretical foundation. A research framework was devised, encompassing student characteristics , multidimensional online learning engagement and key influencing factors. Research on undergraduates revealed a significant positive correlation between the duration of online learning and online learning engagement, while the impacts of gender, home location, and major were limited. Self factors of students, such as subjective intent, attitudes, and motivation, played a crucial role in affecting engagement levels. Interactions with teachers and peers, teaching methodologies, and feedback were intimately linked with students' emotional engagement. Based on these findings, recommendations include establishing a module to foster students' self-motivation, enhancing online interactions between educators and students, refining technical support and platform experience, and bolstering the evaluation and feedback on learning outcomes. This research offers empirical evidence to further comprehend and refine online education. © 2023, The Authors. All rights reserved.