Paper Info
Title
Automated Discussion Analysis - Framework for Knowledge Analysis from Class Discussions
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.
Year
DOI
Venue
2020
10.1109/FIE44824.2020.9273819
2020 IEEE Frontiers in Education Conference (FIE)
Keywords
DocType
ISSN
discussions,online discussion forum,live classroom discussion,discussion analysis,AI technology,framework
Conference
1539-4565
ISBN
Citations 
PageRank 
978-1-7281-8962-8
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Swapna Gottipati117315.05
Venky Shankararaman23413.00
Mallika Nitin Gokarn300.34