TY - GEN
T1 - Exploring the Factors of Students' Online Learning Based on Structural Equation Modeling
AU - Wan, Han
AU - Luo, Hongzhen
AU - Zhong, Zihao
AU - Yang, Jianlei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Due to the COVID-19 pandemic, traditional teaching has been migrated online. Different from traditional face-to-face teaching, when students learn online, the online learning platform will generate various data. And these data make it possible for us to analyze students' final academic performance. In this paper, we use structural equation modeling (SEM) to analyze the relationship between students' learning factors. It is found that students' lab scores (LS), exercise scores (LS) and participation in the discussion (PID) have a direct impact on their final programming scores (FPS). This paper also finds that students' assignment submissions have an indirect influence on their final programming scores (FPS) but have a direct effect on lab scores (LS). In addition, students' participation in the discussion (PID) has an indirect influence on assignment submissions (AS) and lab scores (LS). The research in this paper can provide instructional designers with references for instructional design.
AB - Due to the COVID-19 pandemic, traditional teaching has been migrated online. Different from traditional face-to-face teaching, when students learn online, the online learning platform will generate various data. And these data make it possible for us to analyze students' final academic performance. In this paper, we use structural equation modeling (SEM) to analyze the relationship between students' learning factors. It is found that students' lab scores (LS), exercise scores (LS) and participation in the discussion (PID) have a direct impact on their final programming scores (FPS). This paper also finds that students' assignment submissions have an indirect influence on their final programming scores (FPS) but have a direct effect on lab scores (LS). In addition, students' participation in the discussion (PID) has an indirect influence on assignment submissions (AS) and lab scores (LS). The research in this paper can provide instructional designers with references for instructional design.
KW - online learning
KW - social media
KW - structural equation modeling
UR - https://www.scopus.com/pages/publications/85163887760
U2 - 10.1109/TALE54877.2022.00075
DO - 10.1109/TALE54877.2022.00075
M3 - 会议稿件
AN - SCOPUS:85163887760
T3 - Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
SP - 423
EP - 429
BT - Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
Y2 - 4 December 2022 through 7 December 2022
ER -