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

Adetunji Adeniran; Judith Masthoff; Nigel Beacham

doi:10.1007/978-3-030-23207-8_1

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

Adetunji Adeniran^*, Judith Masthoff, Nigel Beacham

^*Corresponding author for this work

University of Aberdeen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings
Editors	Seiji Isotani, Eva Millán, Amy Ogan, Bruce McLaren, Peter Hastings, Rose Luckin
Publisher	Springer
Pages	3-8
Number of pages	6
ISBN (Print)	9783030232061
DOIs	https://doi.org/10.1007/978-3-030-23207-8_1
Publication status	Published - 1 Jan 2019
Event	20th International Conference on Artificial Intelligence in Education, AIED 2019 - Chicago, United States Duration: 25 Jun 2019 → 29 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11626 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Education, AIED 2019
Country/Territory	United States
City	Chicago
Period	25/06/19 → 29/06/19

Keywords

Discourse content
Joint problem-solving
Online groups

Access to Document

10.1007/978-3-030-23207-8_1

Adeniran2019_Chapter_Model-BasedCharacterizationOfTFinal published version, 612 KBLicence: Taverne

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, B. McLaren, P. Hastings, & R. Luckin (Eds.), Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings (pp. 3-8). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11626 LNAI). Springer. 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 - 20th International Conference, AIED 2019, Proceedings. editor / Seiji Isotani ; Eva Millán ; Amy Ogan ; Bruce McLaren ; Peter Hastings ; Rose Luckin. Springer, 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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title = "Model-based characterization of text discourse content to evaluate online group collaboration",

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",

author = "Adetunji Adeniran and Judith Masthoff and Nigel Beacham",

year = "2019",

month = jan,

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doi = "10.1007/978-3-030-23207-8_1",

language = "English",

isbn = "9783030232061",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "3--8",

editor = "Seiji Isotani and Eva Mill{\'a}n and Amy Ogan and Bruce McLaren and Peter Hastings and Rose Luckin",

booktitle = "Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings",

note = "20th International Conference on Artificial Intelligence in Education, AIED 2019 ; Conference date: 25-06-2019 Through 29-06-2019",

}

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

Model-based characterization of text discourse content to evaluate online group collaboration. / Adeniran, Adetunji; Masthoff, Judith; Beacham, Nigel.
Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. ed. / Seiji Isotani; Eva Millán; Amy Ogan; Bruce McLaren; Peter Hastings; Rose Luckin. Springer, 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 proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Model-based characterization of text discourse content to evaluate online group collaboration

AU - Adeniran, Adetunji

AU - Masthoff, Judith

AU - Beacham, Nigel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Discourse content

KW - Joint problem-solving

KW - Online groups

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U2 - 10.1007/978-3-030-23207-8_1

DO - 10.1007/978-3-030-23207-8_1

M3 - Conference contribution

AN - SCOPUS:85068347743

SN - 9783030232061

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 8

BT - Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings

A2 - Isotani, Seiji

A2 - Millán, Eva

A2 - Ogan, Amy

A2 - McLaren, Bruce

A2 - Hastings, Peter

A2 - Luckin, Rose

PB - Springer

T2 - 20th International Conference on Artificial Intelligence in Education, AIED 2019

Y2 - 25 June 2019 through 29 June 2019

ER -

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, McLaren B, Hastings P, Luckin R, editors, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Springer. 2019. p. 3-8. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-23207-8_1

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

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Keywords

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