The Interaction Effect of Group Formation and Individual Preparation on Computer Support Collaborative Engineering Design: An Exploratory Study

Authors

  • Qianru Lyu Nanyang Technological University: Singapore, SG
  • Wenli Chen Nanyang Technological University: Singapore, SG
  • Junzhu Su Nanyang Technological University: Singapore, SG
  • John G. Heng

DOI:

https://doi.org/10.14742/apubs.2022.102

Keywords:

Face-to-face computer-supported collaborative learning, Collaboration scripts, Individual preparation before collaboration

Abstract

Collaboration, as one of the most essential skill sets for engineering students, remains challenging for both engineering educators and student engineers. This study explores the role of pedagogical support individual preparation before collaboration on engineering students’ collaborative learning outcome as well as the process. A total of 36 dyads engineering students from a university engineering class participated in the study, divided into 2 group formations: homogeneous group (two similarly experienced student engineers) and heterogeneous group (one experienced student engineer and one less experienced student engineer). All dyads completed two engineering design tasks in two conditions: immediate collaboration (control condition) and individual preparation before collaboration (experimental condition) in a face-to-face (F2F) computer-supported collaborative learning (CSCL) context. The results indicated the interaction effect of individual preparation and group formation on students’ collaborative knowledge co-construction. The homogeneous group formation produced higher quality knowledge co-construction and design solutions when there was an individual preparation before collaboration than immediate collaboration. Meanwhile, the heterogeneous group formation produced lower quality knowledge co-construction and design solutions when there was an individual preparation before collaboration than immediate collaboration. These findings expand the current understanding of individual preparation before collaboration and provide insights for the design of computer-supported collaborative learning in classrooms.

Author Biographies

Qianru Lyu, Nanyang Technological University: Singapore, SG

Lyu Qianru is a PhD candidate from the Learning Sciences and Assessment Academic Group in National Institute of Education of Nanyang Technological University, Singapore. Her research interests include computer-supported collaborative learning, collaboration scripts, STEM education, and Engineering education. In her PhD study, she focuses on scripting collaborative learning in university-level engineering design classrooms, promoting knowledge co-construction and idea improvement. 

Wenli Chen, Nanyang Technological University: Singapore, SG

Associate Professor CHEN Wenli is the Head of Learning Sciences and Assessment (LSA) Academic Group at the National Institute of Education (NIE), Nanyang Technological University (NTU) Singapore. Her research interests include Computer-Supported Collaborative Learning (CSCL), learning analytics, AI for Education, and mobile learning. Dr Chen's school-based research projects address the challenges of transforming and enhancing teaching and learning and applying her research outcomes to impact school practices.
Dr Chen has published 2 books and more than 80 papers on international peer-reviewed journals. She has been invited as the keynote speaker for many international conferences. She has won a dozen Best Paper Awards from international conferences. She was presented the Distinguished Researcher Award by the Asia-Pacific Society for Computers in Education in 2020. She received the "Excellence in Teaching Commendation" in 2015 and 2017 from NIE and the "Nanyang Education Award" from NTU in 2016.

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Published

2022-11-18