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IJIET 2017 Vol.7(1): 40-45 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.1.839

Scaffolding Collaborative Learning in Pairs within a Technology-Enhanced Learning Environment

Per B. Bergamin, Egon Werlen, and Yves E. Bochud

Abstract—Previous research shows that scaffolding is an effective method to foster learning in technology-enhanced learning environments demanding self-regulation. This study considers the option of using a scaffold in an online learning environment working with a partner to solve a multiple-choice assessment. A scaffolding sequence was designed in which subjects worked in pairs. Then the collaborative and individual learning performances were measured and compared. Using the cognitive load theory(CLT),variables were defined to explain effects on performance. Participants in the experiment included 41 university students. Findings reveal that learners learning in the collaborative learning scenario performed better than within the individual learning scenario. Results show that three interrelated variables, mental effort, task difficulty and motivation affected performance.

Index Terms—Technology enhanced learning, collaborative learning, scaffolding, cognitive load.

Per B. Bergamin and Egon Werlen are with the Swiss Distance University of Applied Sciences, Ü berlandstrasse 12, 3900 Brig, Switzerland (e-mail: per.bergamin@ffhs.ch, egon.werlen@ffhs.ch).
Yves E. Bochud is with the University of Berne, Institute of Psychology, Fabrikstrasse 8, 3012 Bern, Switzerland (e-mail: yves.bochud@gmail.com).

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Cite: Per B. Bergamin, Egon Werlen, and Yves E. Bochud, "Scaffolding Collaborative Learning in Pairs within a Technology-Enhanced Learning Environment," International Journal of Information and Education Technology vol. 7, no. 1, pp. 40-45, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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