Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment

Othalia Larue; Ion Juvina; Gary Douglas; Albert Simmons

doi:10.1007/978-3-319-20816-9_43

Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment

Othalia Larue, Ion Juvina, Gary Douglas, Albert Simmons

Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

<p> <p id="x-x-Par1"> In this paper, we use a computational cognitive model to make a priori predictions for an upcoming human study. Model predictions are generated in conditions identical to those that human participants will be placed in. Models were built in a computational cognitive architecture, which implements a theory of human cognition, ACT-R (Adaptive Control of Thought - Rational) (Anderson, 2007). The experiment contains three conditions: lecture, interactive lecture, and team-based learning (TBL). Team-based learning has been shown to improve performance compared to the classical non-interactive lecture. Our model predicted the same outcome. It also predicted that players in the TBL condition would perform better than players in the interactive lecture condition. </p></p>

Original language	English
Title of host publication	Foundations of Augmented Cognition
Editors	Cali M. Fidopiastis, Dylan D. Schmorrow
Publisher	Springer Verlag
Pages	449-460
Number of pages	12
ISBN (Electronic)	978-3-319-20816-9
ISBN (Print)	9783319208152
DOIs	https://doi.org/10.1007/978-3-319-20816-9_43
State	Published - 2015
Event	9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015 - Los Angeles, United States Duration: Aug 2 2015 → Aug 7 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9183
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015
Country/Territory	United States
City	Los Angeles
Period	8/2/15 → 8/7/15

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

A priori model prediction
Cognitive modeling
Team-based learning

Disciplines

Psychology
Social and Behavioral Sciences

Access to Document

10.1007/978-3-319-20816-9_43License: Unspecified

Cite this

Larue, O., Juvina, I., Douglas, G., & Simmons, A. (2015). Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment. In C. M. Fidopiastis, & D. D. Schmorrow (Eds.), Foundations of Augmented Cognition (pp. 449-460). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9183). Springer Verlag. https://doi.org/10.1007/978-3-319-20816-9_43

Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment. / Larue, Othalia; Juvina, Ion; Douglas, Gary et al.
Foundations of Augmented Cognition . ed. / Cali M. Fidopiastis; Dylan D. Schmorrow. Springer Verlag, 2015. p. 449-460 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9183).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Larue, O, Juvina, I, Douglas, G & Simmons, A 2015, Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment. in CM Fidopiastis & DD Schmorrow (eds), Foundations of Augmented Cognition . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9183, Springer Verlag, pp. 449-460, 9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015, Los Angeles, United States, 8/2/15. https://doi.org/10.1007/978-3-319-20816-9_43

Larue O, Juvina I, Douglas G, Simmons A. Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment. In Fidopiastis CM, Schmorrow DD, editors, Foundations of Augmented Cognition . Springer Verlag. 2015. p. 449-460. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20816-9_43

Larue, Othalia ; Juvina, Ion ; Douglas, Gary et al. / Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment. Foundations of Augmented Cognition . editor / Cali M. Fidopiastis ; Dylan D. Schmorrow. Springer Verlag, 2015. pp. 449-460 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment

Abstract

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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