Expert evaluator decision tree tool to support heuristics educational game (HEG) evaluation

Shirindokht Farhady, Amirfarhad Farhadi, Azizah Jaafar, Riza Sulaiman

Research output: Contribution to journalArticle

Abstract

A great potential of educational computer games in learning process has prepared a good opportunity for teachers to apply "playful elements" in learning environments. As a result educational computer games are widely used as tools to entertain, instruct, motivate and develop skills. The effectiveness of a computer game in sense of help players to learn has been matter of game education industry for years. One of the best methods to assess game usability is game heuristics. Heuristics is an evaluation method that was developed and improved tremendously from general interface evaluation to specific evaluation such as computer game application. This study aimed to provide an easy to use, yet valid method to best evaluate usability of a game, it focuses on two techniques based on two types of evaluators; the expert evaluators and real users. A decision tree, which is based on two levels of evaluation, is the outcome of this study with which, game players with the medium understanding of game can benefit from. Here first a collection of game evaluation criteria are collected from literature and then has been verified to be valid and related by experts.

Original languageEnglish
Pages (from-to)569-575
Number of pages7
JournalLife Science Journal
Volume10
Issue numberSUPPL.4
Publication statusPublished - 2013

Fingerprint

Decision Trees
Computer games
Video Games
Decision trees
Learning
Education
Industry
Outcome Assessment (Health Care)
Heuristics

Keywords

  • Computer game
  • Decision tree
  • Evaluation
  • Heuristics

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Expert evaluator decision tree tool to support heuristics educational game (HEG) evaluation. / Farhady, Shirindokht; Farhadi, Amirfarhad; Jaafar, Azizah; Sulaiman, Riza.

In: Life Science Journal, Vol. 10, No. SUPPL.4, 2013, p. 569-575.

Research output: Contribution to journalArticle

Farhady, Shirindokht ; Farhadi, Amirfarhad ; Jaafar, Azizah ; Sulaiman, Riza. / Expert evaluator decision tree tool to support heuristics educational game (HEG) evaluation. In: Life Science Journal. 2013 ; Vol. 10, No. SUPPL.4. pp. 569-575.
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