Students' enjoyment of a game-based tutoring system

G. Tanner Jackson, Natalie L. Davis, Danielle McNamara

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

4 Citations (Scopus)

Abstract

iSTART-ME is a new game-based learning environment developed on top of an existing ITS (iSTART). The current study deviates from previous work focusing on individual ITS components, and utilizes a smaller number of students (n=9) who engaged with the entire system over a period of several weeks. The participants indicated that they enjoyed the game-based aspects of the system significantly more than the non-game aspects. These results support the use of iSTART-ME as a system that promotes long-term enjoyment.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages475-477
Number of pages3
Volume6738 LNAI
DOIs
StatePublished - 2011
Externally publishedYes
Event15th International Conference on Artificial Intelligence in Education, AIED 2011 - Auckland, New Zealand
Duration: Jun 28 2011Jul 1 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6738 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Artificial Intelligence in Education, AIED 2011
CountryNew Zealand
CityAuckland
Period6/28/117/1/11

Fingerprint

Game
Students
Game-based Learning
Learning Environment
Entire

Keywords

  • game-based tutoring
  • Intelligent Tutoring Systems
  • Serious Games

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Jackson, G. T., Davis, N. L., & McNamara, D. (2011). Students' enjoyment of a game-based tutoring system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6738 LNAI, pp. 475-477). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6738 LNAI). https://doi.org/10.1007/978-3-642-21869-9_74

Students' enjoyment of a game-based tutoring system. / Jackson, G. Tanner; Davis, Natalie L.; McNamara, Danielle.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6738 LNAI 2011. p. 475-477 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6738 LNAI).

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

Jackson, GT, Davis, NL & McNamara, D 2011, Students' enjoyment of a game-based tutoring system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6738 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6738 LNAI, pp. 475-477, 15th International Conference on Artificial Intelligence in Education, AIED 2011, Auckland, New Zealand, 6/28/11. https://doi.org/10.1007/978-3-642-21869-9_74
Jackson GT, Davis NL, McNamara D. Students' enjoyment of a game-based tutoring system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6738 LNAI. 2011. p. 475-477. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-21869-9_74
Jackson, G. Tanner ; Davis, Natalie L. ; McNamara, Danielle. / Students' enjoyment of a game-based tutoring system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6738 LNAI 2011. pp. 475-477 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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