Leveraging game design to promote effective user behavior of intelligent tutoring systems

Matthew W. Johnson, Tomoko Okimoto, Tiffany Barnes

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

2 Citations (Scopus)

Abstract

We propose developing a mobile device application that will leverage game-play mechanics to incentivize optimal spacing for second language vocabulary acquisition. Through the collection and analysis of user log-data, we intend to investigate the effects of pervasive studying, studying vocabulary words for short intervals, many times throughout a day. This investigation will provide insight into new strategies of studying second language vocabulary, which may be more efficient.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
Pages597-599
Number of pages3
Volume7315 LNCS
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece
Duration: 2012 Jun 142012 Jun 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7315 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Intelligent Tutoring Systems, ITS 2012
CountryGreece
CityChania, Crete
Period12/6/1412/6/18

Fingerprint

Game Design
Short Intervals
Intelligent Tutoring Systems
Datalog
User Behavior
Intelligent systems
Leverage
Mobile devices
Mobile Devices
Spacing
Mechanics
Game
Strategy
Language Acquisition
Language

Keywords

  • Game Design
  • Pervasive Games
  • Second Language Acquisition
  • Spacing

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Johnson, M. W., Okimoto, T., & Barnes, T. (2012). Leveraging game design to promote effective user behavior of intelligent tutoring systems. In Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings (Vol. 7315 LNCS, pp. 597-599). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS). https://doi.org/10.1007/978-3-642-30950-2_82

Leveraging game design to promote effective user behavior of intelligent tutoring systems. / Johnson, Matthew W.; Okimoto, Tomoko; Barnes, Tiffany.

Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. Vol. 7315 LNCS 2012. p. 597-599 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS).

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

Johnson, MW, Okimoto, T & Barnes, T 2012, Leveraging game design to promote effective user behavior of intelligent tutoring systems. in Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. vol. 7315 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7315 LNCS, pp. 597-599, 11th International Conference on Intelligent Tutoring Systems, ITS 2012, Chania, Crete, Greece, 12/6/14. https://doi.org/10.1007/978-3-642-30950-2_82
Johnson MW, Okimoto T, Barnes T. Leveraging game design to promote effective user behavior of intelligent tutoring systems. In Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. Vol. 7315 LNCS. 2012. p. 597-599. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-30950-2_82
Johnson, Matthew W. ; Okimoto, Tomoko ; Barnes, Tiffany. / Leveraging game design to promote effective user behavior of intelligent tutoring systems. Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. Vol. 7315 LNCS 2012. pp. 597-599 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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