E. Pogorskiy
Utilising a Virtual Learning Assistant as a Measurement and Intervention Tool for Self-Regulation in Learning
Pogorskiy, E.; Beckmann, J.F.; Joksimovic, S.; Kovanovic, V.; West, R.
Authors
Contributors
Mark J.W. Lee
Editor
Sasha Nikolic
Editor
Montserrat Ros
Editor
Jun Shen
Editor
Leon C.U. Lei
Editor
Gary K.W. Wong
Editor
Neelakantam Venkatarayalu
Editor
Abstract
Online learning and massive open online courses are widely used in engineering and technology education. Engineering next-generation learning requires overcoming the potential constraints of online learning environments which necessitate higher levels of self-regulation than traditional classroom settings. This particular requirement demands that learners allocate their cognitive, metacognitive, affective and motivational resources to meet this need. Lack of self-regulation can affect learners' engagement with the course content, resulting in sub-optimal learning outcomes or failure to complete the course. This paper reports on the design of a virtual learning assistant and its implementation in online learning activities. This paper outlines the virtual assistant's use as a data collection tool and, further, proposes that the virtual learning assistant has the potential to be used as an assessment tool for self-regulatory skills, and as an intervention tool to support online learners' self-regulation in online learning.
Citation
Pogorskiy, E., Beckmann, J., Joksimovic, S., Kovanovic, V., & West, R. (2018, December). Utilising a Virtual Learning Assistant as a Measurement and Intervention Tool for Self-Regulation in Learning. Presented at 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Wollongong, NSW Australia
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) |
Online Publication Date | Jan 17, 2019 |
Publication Date | 2018 |
Deposit Date | Nov 3, 2020 |
Publicly Available Date | Nov 3, 2020 |
Pages | 846-849 |
Series ISSN | 2470-6698,2374-0191 |
Book Title | 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) : conference proceedings.Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) |
DOI | https://doi.org/10.1109/tale.2018.8615130 |
Public URL | https://durham-repository.worktribe.com/output/1139421 |
Files
Accepted Conference Proceeding
(281 Kb)
PDF
Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Dynamic testing of language learning aptitude: an exploratory proof of concept study
(2024)
Journal Article
The role of learning in complex problem solving using MicroDYN
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search