Eyemath: Identifying mathematics problem solving processes in a RTS video game

Aura Hernández-Sabaté, Lluís Albarracín*, Daniel Calvo, Núria Gorgorió

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

2 Citations (Scopus)

Abstract

Video games are promising tools in educational environments since they have features that can promote learning in a playful environment. Formerly, we identified mathematics learning opportunities in a real time strategy video game. Going further, in order to precisely understand which information the students use to solve the challenges provided by the video game, this paper presents an eye tracker based tool to identify processes of mathematics problem solving while playing the game. The first preliminary results show the potential of the tool to further identify metacognitive and mathematics problem solving processes.

Original languageEnglish
Title of host publicationGames and Learning Alliance. 5th International Conference, GALA 2016, Utrecht, The Netherlands, December 5-7, 2016, Proceedings
EditorsRosa Bottino, Johan Jeuring, Remco C. Veltkamp
Pages50-59
Number of pages10
Volume10056
Edition1
DOIs
Publication statusPublished - 1 Jan 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10056 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Eye-tracker
  • Image processing
  • Mathematics education
  • Problem solving
  • Tower defense

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