TY - GEN
T1 - Continuance Intention Factor of Online Learning Management System in Case on Faculty of Computer Science at Brawijaya University in Indonesia
AU - Saputra, Mochamad Chandra
AU - Katayama, Tetsuro
AU - Kita, Yoshihiro
AU - Yamaba, Hisaaki
AU - Aburada, Kentaro
AU - Okazaki, Naonobu
N1 - Publisher Copyright:
© The 2023 International Conference on Artificial Life and Robotics (ICAROB2023).
PY - 2023
Y1 - 2023
N2 - The outbreak of the COVID-19 pandemic changed the model of the learning process. Online learning became one of the best solutions for many educational institutions, including the University, especially the Faculty of Computer Science, Brawijaya University. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. To understand students' continuance intention this study proposes self determination model as a research model to find the factors affecting students' continuance intention toward online learning management systems. The proposed model is useful for investigating continuance intention factors. The study finds that intrinsic regulation, external regulation, identified regulation, and introjected regulation significantly positive impact on continuance intention in learning management systems. Finally, this study provides suggestions for the Faculty to improve the continuance intention of the student in using an online learning management system.
AB - The outbreak of the COVID-19 pandemic changed the model of the learning process. Online learning became one of the best solutions for many educational institutions, including the University, especially the Faculty of Computer Science, Brawijaya University. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. To understand students' continuance intention this study proposes self determination model as a research model to find the factors affecting students' continuance intention toward online learning management systems. The proposed model is useful for investigating continuance intention factors. The study finds that intrinsic regulation, external regulation, identified regulation, and introjected regulation significantly positive impact on continuance intention in learning management systems. Finally, this study provides suggestions for the Faculty to improve the continuance intention of the student in using an online learning management system.
KW - Continuance Intention
KW - Learning Management System
KW - Self Determination
UR - https://www.scopus.com/pages/publications/85149456295
M3 - Conference contribution
AN - SCOPUS:85149456295
SN - 9784990835088
T3 - Proceedings of International Conference on Artificial Life and Robotics
SP - 352
EP - 356
BT - Proceedings of The 2023 International Conference on Artificial Life and Robotics, ICAROB 2023
A2 - Jia, Yingmin
A2 - Ito, Takao
A2 - Lee, Ju-Jang
PB - ALife Robotics Corporation Ltd
T2 - 28th International Conference on Artificial Life and Robotics, ICAROB 2023
Y2 - 9 February 2023 through 12 February 2023
ER -