IJIET 2013 Vol.3(1): 94-99 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.241

Using Cognitive Load Measurement and Spatial Ability Test to Identify Talented Students in Three-Dimensional Computer Graphics Programming

Farshid Anvari, Hien Minh Thi Tran, and Manolya Kavakli

Abstract—The aim of this paper is to identify talented students in three-dimensional computer graphics programming using cognitive load measurement and spatial ability test. Eleven students from the department of computing undertook a spatial ability test, a performance and a cognitive load test using task and performance-based techniques and, perception surveys. The results are supportive of previous research studies in building expertise. Students with high spatial ability who performed well in the task of generating three-dimensional computer graphics with low cognitive load measures were identified as talented students in three-dimensional computer graphics programming. This study suggests that people with higher abstract thinking have better ability to transfer skills from similar domains.

Index Terms—Spatial ability, cognitive load measurement, three-dimensional computer graphics programmers, task and performance-based techniques, talented students, computer graphics education.

The authors are with Macquarie University, Sydney NSW 2109 Australia (email: farshid.anvari@students.mq.edu.au, hien.tran@mq.edu.au, manolya.kavakli@mq.edu.au).

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Cite: Farshid Anvari, Hien Minh Thi Tran, and Manolya Kavakli, "Using Cognitive Load Measurement and Spatial Ability Test to Identify Talented Students in Three-Dimensional Computer Graphics Programming," International Journal of Information and Education Technology vol. 3, no. 1, pp. 94-99, 2013.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net