Model-based characterization of text discourse content to evaluate online group collaboration

Adetunji Adeniran*, Judith Masthoff, Nigel Beacham

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publicationProceedings of 20th International Conference, AIED 2019
EditorsSeiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin
PublisherSpringer-Verlag
Pages3-8
Number of pages6
Volume2
ISBN (Electronic)9783030232078
ISBN (Print)9783030232061
DOIs
Publication statusPublished - 2019
Event20th International Conference on Artificial Intelligence in Education, AIED 2019 - Chicago, United States
Duration: 25 Jun 201929 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11626 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Education, AIED 2019
CountryUnited States
CityChicago
Period25/06/1929/06/19

Fingerprint

Scaffolds
Visualization
Model-based
Evaluate
Online Learning
Scaffold
Real-time
Collaboration
Discourse
Text
Model

Keywords

  • discourse content
  • joint problem-solving
  • online groups
  • agents
  • artificial intelligence
  • collaborative learning
  • computational linguistics
  • processing user interfaces
  • computer aided instruction
  • semantics signal
  • data mining
  • education
  • neural networks
  • education computing
  • Human-Computer Interaction (HCI)
  • Natural Language Processing (NLP)
  • intelligent tutoring system
  • machine learning
  • learning algorithms
  • learning experiences
  • learning environments
  • Online groups
  • Joint problem-solving
  • Discourse content

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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, P. Hastings, B. McLaren, & R. Luckin (Eds.), Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019 (Vol. 2, pp. 3-8). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11626 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-030-23207-8_1

Model-based characterization of text discourse content to evaluate online group collaboration. / Adeniran, Adetunji; Masthoff, Judith; Beacham, Nigel.

Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019. ed. / Seiji Isotani; Eva Millán; Amy Ogan; Peter Hastings; Bruce McLaren; Rose Luckin. Vol. 2 Springer-Verlag, 2019. p. 3-8 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11626 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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, P Hastings, B McLaren & R Luckin (eds), Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11626 LNAI, Springer-Verlag, 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
Adeniran A, Masthoff J, Beacham N. Model-based characterization of text discourse content to evaluate online group collaboration. In Isotani S, Millán E, Ogan A, Hastings P, McLaren B, Luckin R, editors, Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019. Vol. 2. Springer-Verlag. 2019. p. 3-8. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-23207-8_1
Adeniran, Adetunji ; Masthoff, Judith ; Beacham, Nigel. / Model-based characterization of text discourse content to evaluate online group collaboration. Artificial Intelligence in Education: Proceedings of 20th International Conference, AIED 2019. editor / Seiji Isotani ; Eva Millán ; Amy Ogan ; Peter Hastings ; Bruce McLaren ; Rose Luckin. Vol. 2 Springer-Verlag, 2019. pp. 3-8 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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