Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2020
Abstract
This research full paper, describes knowledge management of class discussions using an analytics based framework. Discussions, either live classroom or through online forums, when used as a teaching method can help stimulate critical thinking. It allows the teacher to explore in-depth the key concepts covered in the course, motivates students to articulate their ideas clearly and challenge the students to think more deeply. Analysing the discussions helps instructors gain better insights on the personal and collaborative learning behaviour of students. However, knowledge from in-class discussions and online forums is not effectively captured and mined due to lack of appropriate automated tools. In this paper, the authors propose an automated discussion analysis (ADA) framework that provides a starting point providing guidance on the development of automated tools for performing different analysis on live classroom or online discussions. AI technology plays a key role in developing tools for knowledge representation and analysis. We propose software systems based on ADA framework and AI technology. The paper then describes a case study where one model of the ADA framework, individual behaviour analysis model, has been applied to automate the analysis of the online discussion forum used in a postgraduate course.
Keywords
Discussions, Online discussion forum, Live classroom discussion, Discussion analysis, AI technology, Framework
Discipline
Databases and Information Systems | Data Science | Education
Research Areas
Data Science and Engineering
Publication
2020 50th Frontiers in Education Conference (FIE): October 21-24, Uppsala, Sweden: Proceedings
First Page
1
Last Page
8
ISBN
9781728189611
Identifier
10.1109/FIE44824.2020.9273819
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
GOTTIPATI, Swapna; SHANKARARAMAN, Venky; and GOKARN NITIN, Mallikan.
Automated discussion analysis - Framework for knowledge analysis from class discussions. (2020). 2020 50th Frontiers in Education Conference (FIE): October 21-24, Uppsala, Sweden: Proceedings. 1-8.
Available at: https://ink.library.smu.edu.sg/sis_research/5542
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/FIE44824.2020.9273819