Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics

Nai Li; Yuan Xun Gu; Leanne Chang; Henry Been-Lirn Duh

doi:10.1109/ICALT.2011.100

Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics

Nai Li, Yuan Xun Gu, Leanne Chang, Henry Been-Lirn Duh

Department of Communication Studies

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

22 Citations (Scopus)

Abstract

Augmented Reality (AR), using a mixture of the virtual and physical world, has been recognized as a promising environment for improving the quality of collaboration in educational domains. To identify how an AR-supported simulation affects collaborative learning, this study compared collaborative learning effectiveness between the conditions of AR-supported and traditional face-to-face collaborative learning for Physics. The findings revealed that collaborative use of the AR-supported simulation resulted in higher levels of perceived skill development, self-reported learning and learning interest. The individual learning achievement was also strengthened with the use of AR-supported simulation in collaboration. This study provides empirical evidence for supporting the potential value of AR technology in collaborative learning practices and has implications for research on learning effectiveness evaluation in CSCL.

Original language	English
Title of host publication	Proceedings - The 11th IEEE International Conference on Advanced Learning Technologies
Publisher	IEEE
Pages	320-322
Number of pages	3
ISBN (Print)	9780769543468
DOIs	https://doi.org/10.1109/ICALT.2011.100
Publication status	Published - 6 Jul 2011
Event	11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, United States Duration: 6 Jul 2011 → 8 Jul 2011 https://ieeexplore.ieee.org/xpl/conhome/5991609/proceeding

Publication series

Name	International Conference on Advanced Learning Technologies (ICALT)
Publisher	IEEE

Conference

Conference	11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Country/Territory	United States
City	Athens
Period	6/07/11 → 8/07/11
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5991609/proceeding

Scopus Subject Areas

Communication

User-Defined Keywords

augmented reality
collaborative learning
learning effectiveness

Access to Document

10.1109/ICALT.2011.100

Cite this

Li, N., Gu, Y. X., Chang, L., & Duh, H. B.-L. (2011). Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics. In Proceedings - The 11th IEEE International Conference on Advanced Learning Technologies (pp. 320-322). (International Conference on Advanced Learning Technologies (ICALT)). IEEE. https://doi.org/10.1109/ICALT.2011.100

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title = "Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics",

abstract = "Augmented Reality (AR), using a mixture of the virtual and physical world, has been recognized as a promising environment for improving the quality of collaboration in educational domains. To identify how an AR-supported simulation affects collaborative learning, this study compared collaborative learning effectiveness between the conditions of AR-supported and traditional face-to-face collaborative learning for Physics. The findings revealed that collaborative use of the AR-supported simulation resulted in higher levels of perceived skill development, self-reported learning and learning interest. The individual learning achievement was also strengthened with the use of AR-supported simulation in collaboration. This study provides empirical evidence for supporting the potential value of AR technology in collaborative learning practices and has implications for research on learning effectiveness evaluation in CSCL.",

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author = "Nai Li and Gu, {Yuan Xun} and Leanne Chang and Duh, {Henry Been-Lirn}",

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note = "11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 ; Conference date: 06-07-2011 Through 08-07-2011",

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Li, N, Gu, YX, Chang, L & Duh, HB-L 2011, Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics. in Proceedings - The 11th IEEE International Conference on Advanced Learning Technologies. International Conference on Advanced Learning Technologies (ICALT), IEEE, pp. 320-322, 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011, Athens, Georgia, United States, 6/07/11. https://doi.org/10.1109/ICALT.2011.100

Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics. / Li, Nai; Gu, Yuan Xun; Chang, Leanne et al.
Proceedings - The 11th IEEE International Conference on Advanced Learning Technologies. IEEE, 2011. p. 320-322 (International Conference on Advanced Learning Technologies (ICALT)).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AB - Augmented Reality (AR), using a mixture of the virtual and physical world, has been recognized as a promising environment for improving the quality of collaboration in educational domains. To identify how an AR-supported simulation affects collaborative learning, this study compared collaborative learning effectiveness between the conditions of AR-supported and traditional face-to-face collaborative learning for Physics. The findings revealed that collaborative use of the AR-supported simulation resulted in higher levels of perceived skill development, self-reported learning and learning interest. The individual learning achievement was also strengthened with the use of AR-supported simulation in collaboration. This study provides empirical evidence for supporting the potential value of AR technology in collaborative learning practices and has implications for research on learning effectiveness evaluation in CSCL.

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Influences of AR-Supported Simulation on Learning Effectiveness in Face-to-face Collaborative Learning for Physics

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User-Defined Keywords

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