Case-based Portraits of Contrasting Micro-Interaction Processes During Online Assessment of Collaborative Problem Solving
Pöysä-Tarhonen, J., Care, E., Awwal, N., & Häkkinen, P. (2017). Case-based Portraits of Contrasting Micro-Interaction Processes During Online Assessment of Collaborative Problem Solving. In W. Chen, J.-C. Yang, A. F. M. Ayub, S. L. Wong, & A. Mitrovic (Eds.), ICCE 2017 : 25th International Conference on Computers in Education. "Technology and Innovation: Computer-based Educational Systems for the 21st Century" (pp. 146-155). Asia-Pacific Society for Computers in Education. http://www.icce2017.canterbury.ac.nz/sites/default/files/proceedings/main/ICCE2017_Main_Proceedings.pdf
© the Authors & Asia-Pacific Society for Computers in Education, 2017.
This study recognizes the role and the quality of social aspects in collaborative problem solving (CPS) processes and outcomes. The aim of this study, relying on multiple data and phases of analysis, is to explore and visualise, through contrasting case-based portraits, how micro-interaction processes at pair level evolve during CPS assessments in an online environment. The assessment is designed for a student pair in the STEM domain. The results show that in despite students’ similar CPS performance scores, variations in micro-interactions occurred across pairs. It is expected that studying these patterns at pair level may provide new insights into CPS processes and so to support acquiring these skills.
PublisherAsia-Pacific Society for Computers in Education
Parent publication ISBN978-986-94012-6-5
ConferenceInternational Conference on Computers in Education
Is part of publicationICCE 2017 : 25th International Conference on Computers in Education. "Technology and Innovation: Computer-based Educational Systems for the 21st Century"
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Academy Programme, AoF
Additional information about fundingThis work is funded by Academy of Finland (Grant no 273970).
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