research-article

An Optical Brain Imaging Study on the Improvements in Mathematical Fluency from Game-based Learning

Authors:

Murat Perit Cakir,

Nur Akkuş Çakir,

Frank J. LeeAuthors Info & Claims

CHI PLAY '15: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

Pages 209 - 219

https://doi.org/10.1145/2793107.2793133

Published: 05 October 2015 Publication History

Abstract

In this study we examined the effectiveness of game-based learning in improving math fluency compared to a conventional drill and practice approach. An optical brain imaging method called functional near-infrared spectroscopy (fNIR) was utilized to assess changes in brain activation in prefrontal cortex related to cognitive load and working memory functions, so that the improvement gained by the increased attentional and cognitive training involved in a mobile game called MathDash could be examined in terms of how and why game-based learning can be effective. Overall, our experiment with college students indicated that Math Dash was equally effective in terms of improving computational fluency in comparison to the drill and practice approach.

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Cited By

Sharmin SKoiler RSadik RBhattacharjee APatre PKullu PHohensee CGetchell NBarmaki R(2024)Cognitive Engagement for STEM+C Education: Investigating Serious Game Impact on Graph Structure Learning with fNIRS2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00032(195-204)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00032
Hirshfield LWickens CDoherty ESpencer CWilliams THayne L(2023)Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the BrainInternational Journal of Human–Computer Interaction10.1080/10447318.2023.226624240:22(7404-7430)Online publication date: 23-Oct-2023
https://doi.org/10.1080/10447318.2023.2266242
Tenório KPereira ERemigio SCosta DOliveira WDermeval Dda Silva ABittencourt IMarques L(2022)Brain-imaging techniques in educational technologies: A systematic literature reviewEducation and Information Technologies10.1007/s10639-021-10608-x27:1(1183-1212)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1007/s10639-021-10608-x
Show More Cited By

Index Terms

An Optical Brain Imaging Study on the Improvements in Mathematical Fluency from Game-based Learning
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
  2. Education

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cover image ACM Conferences

CHI PLAY '15: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

October 2015

852 pages

ISBN:9781450334662

DOI:10.1145/2793107

General Chairs:
Anna L. Cox
University College London, UK
,
Paul Cairns
University of York, UK
,
Program Chairs:
Regina Bernhaupt
IRIT, France
,
Lennart Nacke
University of Waterloo, Canada

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 05 October 2015

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CHI PLAY '15

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SIGCHI

CHI PLAY '15: The annual symposium on Computer-Human Interaction in Play

October 5 - 7, 2015

London, United Kingdom

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CHI PLAY '15 Paper Acceptance Rate 40 of 144 submissions, 28%;

Overall Acceptance Rate 421 of 1,386 submissions, 30%

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Cited By

Sharmin SKoiler RSadik RBhattacharjee APatre PKullu PHohensee CGetchell NBarmaki R(2024)Cognitive Engagement for STEM+C Education: Investigating Serious Game Impact on Graph Structure Learning with fNIRS2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00032(195-204)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00032
Hirshfield LWickens CDoherty ESpencer CWilliams THayne L(2023)Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the BrainInternational Journal of Human–Computer Interaction10.1080/10447318.2023.226624240:22(7404-7430)Online publication date: 23-Oct-2023
https://doi.org/10.1080/10447318.2023.2266242
Tenório KPereira ERemigio SCosta DOliveira WDermeval Dda Silva ABittencourt IMarques L(2022)Brain-imaging techniques in educational technologies: A systematic literature reviewEducation and Information Technologies10.1007/s10639-021-10608-x27:1(1183-1212)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1007/s10639-021-10608-x
Andreu-Perez AKiani MAndreu-Perez JReddy PAndreu-Abela JPinto MIzzetoglu K(2021)Single-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion ResponsesBrain Sciences10.3390/brainsci1101010611:1(106)Online publication date: 14-Jan-2021
https://doi.org/10.3390/brainsci11010106
Çakır MÇakır NAyaz HLee F(2016)Behavioral and Neural Effects of Game-Based Learning on Improving Computational Fluency With NumbersZeitschrift für Psychologie10.1027/2151-2604/a000267224:4(297-302)Online publication date: Oct-2016
https://doi.org/10.1027/2151-2604/a000267

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