Model-based characterization of text discourse content to evaluate online group collaboration
Publication date
2019-01-01
Authors
Adeniran, Adetunji
Masthoff, J.F.M.
Beacham, Nigel
Editors
Isotani, Seiji
Millán, Eva
Ogan, Amy
McLaren, Bruce
Hastings, Peter
Luckin, Rose
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
Abstract
This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to scaffold collaboration within online learning groups.
Keywords
Discourse content, Joint problem-solving, Online groups, Taverne, Theoretical Computer Science, General Computer Science
Citation
Adeniran, A, Masthoff, J & Beacham, N 2019, Model-based characterization of text discourse content to evaluate online group collaboration. in S Isotani, E Millán, A Ogan, B McLaren, P Hastings & R Luckin (eds), Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11626 LNAI, Springer, pp. 3-8, 20th International Conference on Artificial Intelligence in Education, AIED 2019, Chicago, United States, 25/06/19. https://doi.org/10.1007/978-3-030-23207-8_1, conference