TY - GEN
T1 - Active Distance Learning
T2 - 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023
AU - Alwheibi, Shamma
AU - Shoufan, Abdulhadi
AU - Hassan, Asli
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Active distance learning is an appealing approach that allows students to study at a distance by completing learning activities at their own pace without watching recorded or live lectures. This approach, however, raises some concerns due to the lack of teacher guidance, feedback, and scaffolding. Still, a thoughtful design of the learning activities can mitigate this issue. In this study, we aimed to investigate how students perceive distance learning activities and how their perceptions affect their performance on immediate short tests. Using regression analysis of 103 students' data and 62 learning activities, we investigated the relationship between the grades and completion time of the learning activities and students' ratings of the perceived level of interest, motivation, challenge, frustration, and boredom. We found out, for example, that student perceptions of interest and motivation are essentially affected by grades rather than the activity's completion time. Furthermore, we investigated the relationship between the perceptions of the learning activities and students' performance on immediate, short tests. The regression model showed that the perceived motivation, interest, and challenge have a remarkably strong impact on students' performance. We conclude that active distance learning can benefit from a thoughtful design of learning activities that takes students' perceptions seriously into consideration.
AB - Active distance learning is an appealing approach that allows students to study at a distance by completing learning activities at their own pace without watching recorded or live lectures. This approach, however, raises some concerns due to the lack of teacher guidance, feedback, and scaffolding. Still, a thoughtful design of the learning activities can mitigate this issue. In this study, we aimed to investigate how students perceive distance learning activities and how their perceptions affect their performance on immediate short tests. Using regression analysis of 103 students' data and 62 learning activities, we investigated the relationship between the grades and completion time of the learning activities and students' ratings of the perceived level of interest, motivation, challenge, frustration, and boredom. We found out, for example, that student perceptions of interest and motivation are essentially affected by grades rather than the activity's completion time. Furthermore, we investigated the relationship between the perceptions of the learning activities and students' performance on immediate, short tests. The regression model showed that the perceived motivation, interest, and challenge have a remarkably strong impact on students' performance. We conclude that active distance learning can benefit from a thoughtful design of learning activities that takes students' perceptions seriously into consideration.
KW - Active Distance Learnin
KW - Active Learnin
KW - Lecture Free Learnin
KW - Student Performanc
UR - http://www.scopus.com/inward/record.url?scp=85184992453&partnerID=8YFLogxK
U2 - 10.1109/TALE56641.2023.10398395
DO - 10.1109/TALE56641.2023.10398395
M3 - Conference contribution
AN - SCOPUS:85184992453
T3 - 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023 - Conference Proceedings
BT - 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 November 2023 through 1 December 2023
ER -