Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices

Cheng Yu Chung; I. Han Hsiao

doi:10.23919/iLRN47897.2020.9155152

Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices

Cheng Yu Chung, I. Han Hsiao

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

The uniqueness of Augmented Reality (AR) is its affordance to support learning abstract concepts by rich information, visualization and the integration of user-content interaction. Research has shown that abstract idea and invisible phenomena can be learned better with the support of AR. However, high complexity and conceptual Computational Thinking (CT), such as algorithm design and related programming concepts, are rarely studied empirically in the intersection with immersive technology. This study is aimed at addressing this issue and providing a piece of quantitative and empirical evidence to AR-supported Computer Science discipline-based learning. We designed a mobile AR-enabled application based on a CT framework and related AR affordances in the literature. This app can contextualize a programming debugging task and support program editing CT learning. A controlled laboratory study was designed and conducted. The result of statistical analyses shows that participants with the AR support made better quality of programs with lower errors and less amount of code edits, compared to those without the AR support.

Original language	English (US)
Title of host publication	Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020
Editors	Daphne Economou, Alexander Klippel, Heather Dodds, Anasol Pena-Rios, Mark J. W. Lee, Dennis Beck, Johanna Pirker, Andreas Dengel, Tiago M. Peres, Jonathon Richter
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-61
Number of pages	8
ISBN (Electronic)	9781734899504
DOIs	https://doi.org/10.23919/iLRN47897.2020.9155152
State	Published - Jun 2020
Event	6th International Conference of the Immersive Learning Research Network, iLRN 2020 - Virtual, Online, United States Duration: Jun 21 2020 → Jun 25 2020

Publication series

Name	Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020

Conference

Conference	6th International Conference of the Immersive Learning Research Network, iLRN 2020
Country/Territory	United States
City	Virtual, Online
Period	6/21/20 → 6/25/20

Keywords

augmented reality
collaborative learning
computational thinking
computer science education
debugging practices
learn to code
mobile app

ASJC Scopus subject areas

Computer Science Applications
Media Technology
Education

Access to Document

10.23919/iLRN47897.2020.9155152

Cite this

Chung, C. Y., & Hsiao, I. H. (2020). Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices. In D. Economou, A. Klippel, H. Dodds, A. Pena-Rios, M. J. W. Lee, D. Beck, J. Pirker, A. Dengel, T. M. Peres, & J. Richter (Eds.), Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020 (pp. 54-61). [9155152] (Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/iLRN47897.2020.9155152

Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices. / Chung, Cheng Yu; Hsiao, I. Han.
Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020. ed. / Daphne Economou; Alexander Klippel; Heather Dodds; Anasol Pena-Rios; Mark J. W. Lee; Dennis Beck; Johanna Pirker; Andreas Dengel; Tiago M. Peres; Jonathon Richter. Institute of Electrical and Electronics Engineers Inc., 2020. p. 54-61 9155152 (Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chung, CY & Hsiao, IH 2020, Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices. in D Economou, A Klippel, H Dodds, A Pena-Rios, MJW Lee, D Beck, J Pirker, A Dengel, TM Peres & J Richter (eds), Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020., 9155152, Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020, Institute of Electrical and Electronics Engineers Inc., pp. 54-61, 6th International Conference of the Immersive Learning Research Network, iLRN 2020, Virtual, Online, United States, 6/21/20. https://doi.org/10.23919/iLRN47897.2020.9155152

Chung CY, Hsiao IH. Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices. In Economou D, Klippel A, Dodds H, Pena-Rios A, Lee MJW, Beck D, Pirker J, Dengel A, Peres TM, Richter J, editors, Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 54-61. 9155152. (Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020). doi: 10.23919/iLRN47897.2020.9155152

Chung, Cheng Yu ; Hsiao, I. Han. / Computational Thinking in Augmented Reality : An Investigation of Collaborative Debugging Practices. Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020. editor / Daphne Economou ; Alexander Klippel ; Heather Dodds ; Anasol Pena-Rios ; Mark J. W. Lee ; Dennis Beck ; Johanna Pirker ; Andreas Dengel ; Tiago M. Peres ; Jonathon Richter. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 54-61 (Proceedings of 6th International Conference of the Immersive Learning Research Network, iLRN 2020).

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abstract = "The uniqueness of Augmented Reality (AR) is its affordance to support learning abstract concepts by rich information, visualization and the integration of user-content interaction. Research has shown that abstract idea and invisible phenomena can be learned better with the support of AR. However, high complexity and conceptual Computational Thinking (CT), such as algorithm design and related programming concepts, are rarely studied empirically in the intersection with immersive technology. This study is aimed at addressing this issue and providing a piece of quantitative and empirical evidence to AR-supported Computer Science discipline-based learning. We designed a mobile AR-enabled application based on a CT framework and related AR affordances in the literature. This app can contextualize a programming debugging task and support program editing CT learning. A controlled laboratory study was designed and conducted. The result of statistical analyses shows that participants with the AR support made better quality of programs with lower errors and less amount of code edits, compared to those without the AR support. ",

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Computational Thinking in Augmented Reality: An Investigation of Collaborative Debugging Practices

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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