Gamed-based iSTART practice: From MiBoard to self-explanation showdown

Justin F. Brunelle, G. Tanner Jackson, Kyle Dempsey, Chutima Boonthum, Irwin B. Levinstein, Danielle McNamara

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

2 Citations (Scopus)

Abstract

MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics Opoint rewards, game-like interaction, and peer feedback) and how that might affect student engagement and learning efficacy. This online board game was designed to fit within the Extended Practice module of iSTART (Interactive Strategy Training for Active Reading and Thinking). Unfortunately, preliminary research shows that MiBoard actually reduces engagement and does not benefit the quality of student self-explanations when compared to the original Extended Practice module. Consequently the MiBoard framework has been revamped to create Self-Explanation Showdown, a faster-paced, less analytically oriented game that adds competition to the creation of self-explanations. Students are evaluated on the quality of their self-explanations using the same assessment algorithms from iSTART Extended Practice module (this includes both word-based and LSA-based assessments). The technical issues involved in development of MiBoard and SelfExplanation Showdown are described. The lessons learned from the MiBoard experience are also discussed in this paper.

Original languageEnglish (US)
Title of host publicationProceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
Pages480-485
Number of pages6
StatePublished - 2010
Externally publishedYes
Event23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 - Daytona Beach, FL, United States
Duration: May 19 2010May 21 2010

Other

Other23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
CountryUnited States
CityDaytona Beach, FL
Period5/19/105/21/10

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Brunelle, J. F., Jackson, G. T., Dempsey, K., Boonthum, C., Levinstein, I. B., & McNamara, D. (2010). Gamed-based iSTART practice: From MiBoard to self-explanation showdown. In Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 (pp. 480-485)

Gamed-based iSTART practice : From MiBoard to self-explanation showdown. / Brunelle, Justin F.; Jackson, G. Tanner; Dempsey, Kyle; Boonthum, Chutima; Levinstein, Irwin B.; McNamara, Danielle.

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. 2010. p. 480-485.

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

Brunelle, JF, Jackson, GT, Dempsey, K, Boonthum, C, Levinstein, IB & McNamara, D 2010, Gamed-based iSTART practice: From MiBoard to self-explanation showdown. in Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. pp. 480-485, 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23, Daytona Beach, FL, United States, 5/19/10.
Brunelle JF, Jackson GT, Dempsey K, Boonthum C, Levinstein IB, McNamara D. Gamed-based iSTART practice: From MiBoard to self-explanation showdown. In Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. 2010. p. 480-485
Brunelle, Justin F. ; Jackson, G. Tanner ; Dempsey, Kyle ; Boonthum, Chutima ; Levinstein, Irwin B. ; McNamara, Danielle. / Gamed-based iSTART practice : From MiBoard to self-explanation showdown. Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. 2010. pp. 480-485
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