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Original article

An analysis of collaborative problem‐solving activities mediated by individual‐based and collaborative computer simulations

C.‐J. Chang

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

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M.‐H. Chang

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

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C.‐C. Liu

Corresponding Author

E-mail address: ccliu@cl.ncu.edu.tw

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

Correspondence: Chen‐Chung Liu, Graduate Institute of Network Learning Technology, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 32001, Taiwan. Email:

ccliu@cl.ncu.edu.tw

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B.‐C. Chiu

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

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S.‐H. Fan Chiang

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

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C.‐T. Wen

Graduate Institute of Network Learning Technology, National Central University, , Taiwan

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F.‐K. Hwang

Department of Physics, National Taiwan Normal University, , Taiwan

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P.‐Y. Chao

Department of Information Communication, Yuan Ze University, , Taiwan

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Y.‐L. Chen

Department of Information Management, National Central University, , Taiwan

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C.‐S. Chai

National Institute of Education, Nanyang Technological University, , Singapore

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First published: 04 August 2017
Cited by: 4

Abstract

Researchers have indicated that the collaborative problem‐solving space afforded by the collaborative systems significantly impact the problem‐solving process. However, recent investigations into collaborative simulations, which allow a group of students to jointly manipulate a problem in a shared problem space, have yielded divergent results regarding their effects on collaborative learning. Hence, this study analysed how students solved a physics problem using individual‐based and collaborative simulations to understand their effects on science learning. Multiple data sources including group discourse, problem‐solving activities, learning test scores, and questionnaire feedback were analysed. Lag sequential analysis on the data found that students using the two simulations collaborated with peers to solve the problem in significantly different patterns. The students using the collaborative simulations demonstrated active engagement in the collaborative activity; however, they did not transform discussions into workable problem‐solving activities. The students using the individual‐based simulation showed a lower level of collaboration engagement, starting with individual exploration of the problem with the simulation, followed by group reflection. The two groups also showed significant differences in their learning test scores. The findings and pedagogical suggestions are discussed in the hope of addressing critical activity design issues in using computer simulations for facilitating collaborative learning.

Lay Description

What is currently known about the subject matter?

  • Students tend to solve problems with simulations individually rather than collaboratively.
  • The free‐riding effect impedes student engagement in the collaborative process.
  • Collaborative simulations offer new affordances to better facilitate CPS processes.

What their paper adds to this?

  • Collaborative simulations strengthen interdependence and engagement in collaboration.
  • However, students did not show a significant enhancement in the learning tests.
  • They had difficulties transforming discussions into workable problem‐solving actions.

What the implications of study findings for practitioners?

  • Collaborative simulations can be applied to enhance collaborative engagement.
  • CPS activities should carefully leverage individual and collaborative learning.
  • Prompts that help students to closely relate their discussion to the simulation are needed.

Number of times cited: 4

  • , Visualising the temporal aspects of collaborative inquiry-based learning processes in technology-enhanced physics learning, International Journal of Science Education, 10.1080/09500693.2018.1506594, 40, 14, (1697-1717), (2018).
  • , A bibliometric perspective of learning analytics research landscape, Behaviour & Information Technology, 10.1080/0144929X.2018.1467967, 37, 10-11, (941-957), (2018).
  • , Analysis of knowledge construction during group space activities in a flipped learning course, Journal of Computer Assisted Learning, 34, 6, (720-730), (2018).
  • , An analysis of student collaborative problem solving activities mediated by collaborative simulations, Computers & Education, 114, (222), (2017).