Professor Lauri Malmi from Aalto University, Finland, Visits SERC

Professor Lauri Malmi from the Department of Computer Science, Aalto University, Finland visited SERC on Thursday 27 Oct 2022, delivering a talk on ‘Theories in Computing Education Research’. Professor Malmi is leading the Learning + Technology Research Group (LeTech), which focuses on several aspects of computing education through the utilisation of various technologies.

Title: Theories in Computing Education Research
Speaker:  Professor Lauri Malmi, Department of Computer Science, Aalto University, Finland
Date: Thursday, 27 Oct 2022, 12 - 1pm
Where: Open Space, Level 11, WZ Building

Abstract

In recent years, there has been considerable interest in the use and role of theoretical frameworks in Computing Education Research (CER). Several wide reviews have been published which cover the use of theories from social sciences as well as development of domain-specific theoretical constructs in CER. ACM Transactions on Computing Education (TOCE) will publish two special issues: “Conceptualizing and Use of theory in Computing Education Research in 2022-2023.  In my talk, I will present this work focusing on the works to appear in the TOCE special issues. I discuss the implications of these contributions for future research and practice in computing education."

About the speaker

Lauri Malmi is a professor of computer science at Aalto University, where he is leading the Learning + Technology Research Group (LeTech). Research in the group focuses on several aspects of computing education covering various technologies supporting programming education (automatic assessment, programme and algorithm visualisation, gamification, learning analytics), their pedagogical implications as well as their impact on students’ studying practices, learning results and motivation. Professor Malmi’s recent work covers several reviews on development and use of theoretical constructs in CER. He has also participated in reviews on didactic research foci in computing education research, engineering education research and science education research. He received the ACM SIGCSE Outstanding Contribution to Computer Science Education award in 2020.