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A Periodic Table of Computing Education Learning Theories

Published: 02 July 2019 Publication History
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    Computing education research is built on the use of suitable methods within appropriate theoretical frameworks to provide guidance and solutions for our discipline, in a way that is rigorous and repeatable. However, the scale of theory covered extends well beyond the CS discipline and includes educational theory, behavioural psychology, statistics, economics, and game theory, among others. A computing education researcher's journey towards appropriate and discipline relevant theory can be challenging and, when a researcher has learned one area of theory, it can be easy to return to familiar theory, as it may not be clear what the next step could be. The periodic table is a visual arrangement of the elements to group like with like, providing insight into how families of elements will react. Could we do the same with learning theories located in the domain of computer science education, and would it be useful? The working group will identify and survey existing literature on relationships between key areas of theory in computing education, identify ways of organising these research areas to show how knowledge of one could assist another, and produce initial graphical representations of theory and their relationship groupings to assist researchers in understanding how computing theory is currently used in the discipline and what theories might become of interest.

    References

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    Mordechai Ben-Ari. 1998. Constructivism in Computer Science Education. SIGCSE Bull., Vol. 30, 1 (March 1998), 257--261.
    [2]
    P"aivi Kinnunen and Beth Simon. 2012. Phenomenography and grounded theory as research methods in computing education research field. Computer Science Education, Vol. 22, 2 (2012), 199--218.
    [3]
    Lauri Malmi, Judy Sheard, Simon, Roman Bednarik, Juha Helminen, P"aivi Kinnunen, Ari Korhonen, Niko Myller, Juha Sorva, and Ahmad Taherkhani. 2014. Theoretical Underpinnings of Computing Education Research: What is the Evidence?. In Proceedings of the Tenth Annual Conference on International Computing Education Research (ICER '14). ACM, New York, NY, USA, 27--34.
    [4]
    Greg L. Nelson and Andrew J. Ko. 2018. On Use of Theory in Computing Education Research. In Proceedings of the 2018 ACM Conference on International Computing Education Research (ICER '18). ACM, New York, NY, USA, 31--39.
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    Arnold Pears, Stephen Seidman, Crystal Eney, P"aivi Kinnunen, and Lauri Malmi. 2005. Constructing a Core Literature for Computing Education Research. SIGCSE Bull., Vol. 37, 4 (Dec. 2005), 152--161.
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    Simon. 2007. Koli Calling Comes of Age: An Analysis. In Proceedings of the Seventh Baltic Sea Conference on Computing Education Research - Volume 88 (Koli Calling '07). Australian Computer Society, Inc., Darlinghurst, Australia, Australia, 119--126. http://dl.acm.org/citation.cfm?id=2449323.2449336
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    Simon. 2009. Ten Years of the Australasian Computing Education Conference. In Proceedings of the Eleventh Australasian Conference on Computing Education - Volume 95 (ACE '09). Australian Computer Society, Inc., Darlinghurst, Australia, Australia, 157--164. http://dl.acm.org/citation.cfm?id=1862712.1862735
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    Simon, Angela Carbone, Michael de Raadt, Raymond Lister, Margaret Hamilton, and Judy Sheard. 2008. Classifying Computing Education Papers: Process and Results. In Proceedings of the Fourth International Workshop on Computing Education Research (ICER '08). ACM, New York, NY, USA, 161--172.

    Cited By

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    • (2023)Computing Education Research in the UK & IrelandPast, Present and Future of Computing Education Research10.1007/978-3-031-25336-2_19(421-479)Online publication date: 5-Jan-2023
    • (2021)Adult Learning Theories and their Role in Instructional Design, Curriculum Development and Educational TechnologyWSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT10.37394/232015.2021.17.10617(1149-1159)Online publication date: 11-Nov-2021
    • (2020)Meaningful Assessment at Scale: Helping Instructors to Assess Online LearningProceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3341525.3394993(512-513)Online publication date: 15-Jun-2020

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    cover image ACM Conferences
    ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education
    July 2019
    583 pages
    ISBN:9781450368957
    DOI:10.1145/3304221
    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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    New York, NY, United States

    Publication History

    Published: 02 July 2019

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    Author Tags

    1. computing education
    2. epistemology
    3. learning theory

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    • (2023)Computing Education Research in the UK & IrelandPast, Present and Future of Computing Education Research10.1007/978-3-031-25336-2_19(421-479)Online publication date: 5-Jan-2023
    • (2021)Adult Learning Theories and their Role in Instructional Design, Curriculum Development and Educational TechnologyWSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT10.37394/232015.2021.17.10617(1149-1159)Online publication date: 11-Nov-2021
    • (2020)Meaningful Assessment at Scale: Helping Instructors to Assess Online LearningProceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3341525.3394993(512-513)Online publication date: 15-Jun-2020

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