Active Distance Learning: How Student Perceptions Affect Academic Performance

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageBritish English
Title of host publication2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665453318
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023 - Auckland, New Zealand
Duration: 28 Nov 20231 Dec 2023

Publication series

Name2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023 - Conference Proceedings

Conference

Conference2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2023
Country/TerritoryNew Zealand
CityAuckland
Period28/11/231/12/23

Keywords

  • Active Distance Learnin
  • Active Learnin
  • Lecture Free Learnin
  • Student Performanc

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