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Towards Evidence-informed Design Principles for Adaptive Reading Games

Published: 02 May 2019 Publication History

Abstract

This demonstration presents the design principles of the Navigo games for reading. By reflecting on our design tools and processes we explore the way theory, empirical evidence and best practice and expertise have informed our design. We look into the reciprocal role of theory and design and provide transferable lessons for design of educational technologies in the context of HCI.

References

[1]
Laura Benton, Asimina Vasalou, Kay Berkling, Wolmet Barendregt, and Manolis Mavrikis. 2018. A Critical Examination of Feedback in Early Reading Games. In proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 373). ACM
[2]
Laura Benton, Asimina Vasalou, Wolmet Barendregt, Leona Johansson Bunting, and Andrea Revesz. 2019 What's Missing: The Role of Instructional Design in Children's Games-Based Learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM.
[3]
Mutlu Cukurova, Rose Luckin, and Alison Clark- Wilson. 2019. "Creating the golden triangle of evidence-informed education technology with EDUCATE," British Journal of Educational Technology, vol. 50, no. 2.
[4]
Andrea diSessa and Paul Cobb. 2004. "Ontological Innovation and the Role of Theory in Design Experiments," The Journal of the Learning Sciences, vol. 13, no. 1, pp. 77--103, 2004.

Cited By

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  • (2024)Explainable AI for Intelligent Tutoring SystemsFrontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications10.1007/978-981-99-9836-4_6(59-70)Online publication date: 25-Feb-2024
  • (2023)Adaptive game-based learning in education: a systematic reviewFrontiers in Computer Science10.3389/fcomp.2023.10623505Online publication date: 29-Jun-2023
  • (2022)Gameful Design of an Application for Patients in RehabilitationFrontiers in Computer Science10.3389/fcomp.2022.8221674Online publication date: 8-Jul-2022
  • Show More Cited By

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Published In

cover image ACM Conferences
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
3673 pages
ISBN:9781450359719
DOI:10.1145/3290607
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2019

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Author Tags

  1. adaptive games
  2. design
  3. learning
  4. theory

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  • Demonstration

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CHI '19
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2024)Explainable AI for Intelligent Tutoring SystemsFrontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications10.1007/978-981-99-9836-4_6(59-70)Online publication date: 25-Feb-2024
  • (2023)Adaptive game-based learning in education: a systematic reviewFrontiers in Computer Science10.3389/fcomp.2023.10623505Online publication date: 29-Jun-2023
  • (2022)Gameful Design of an Application for Patients in RehabilitationFrontiers in Computer Science10.3389/fcomp.2022.8221674Online publication date: 8-Jul-2022
  • (2022)Understanding the Situated Practices of School Technology Leaders in the Early Stages of Educational Technology AdoptionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502120(1-14)Online publication date: 29-Apr-2022
  • (2021)Designing personalised instruction: A research and design frameworkBritish Journal of Educational Technology10.1111/bjet.1311952:5(1839-1861)Online publication date: 24-May-2021
  • (2021)AI in (and for) GamesAdvances in Machine Learning/Deep Learning-based Technologies10.1007/978-3-030-76794-5_3(27-43)Online publication date: 6-Aug-2021
  • (2020)Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and InterestBig Data and Cognitive Computing10.3390/bdcc40400304:4(30)Online publication date: 22-Oct-2020

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