Intention-behavior dynamics in MOOCs Learning; What happens to good intentions along the way?

Sep 12, 2018·
Maartje Henderikx
,
Karel Kreijns
Marco Kalz
Marco Kalz
· 1 min read
Abstract
In this study, we introduce a model that captures and visualizes the dynamical process of individual intention forming and the translation of this intention into actual behavior when learning in MOOCs. To validate the model and further our understanding of learning in MOOCs, we constructed a short survey based on this theoretically grounded intention-behavior dynamics model. This survey was sent to MOOC learners who at the time of their respective MOOCs indicated that we could contact them for further research purposes. The combination of open and closed questions referred to the most recent MOOC they took and was answered by 84 learners. The results revealed that most learners start a MOOC with a specific intention in mind, but that nearly one third of these learners reformulates this initial intention, once or more often, at some point due to barriers they encounter which hinder or prevent them from reaching their individual intentions. These barriers are mainly non-MOOC related, which may be valuable input for future research as well as guide the development of interventions for supporting learners to reach their personal learning intentions.
Type
Publication
2018 Learning With MOOCS (LWMOOCS), 110-112
publications publications

Henderikx, M. A., Kreijns, C., & Kalz, M. (2018). Intention-Behavior Dynamics in MOOC Learning; What Happens to Good Intentions Along the Way? In 2018 Learning With MOOCS (LWMOOCS) : Proceedings of the Fifth Learning with MOOCs Conference (pp. 110-112). Article 8534595 IEEE. https://doi.org/10.1109/LWMOOCS.2018.8534595

Open Education MOOCS Online Learning Success Dropout Intention
Marco Kalz
Authors
Marco Kalz
Professor of Educational Technology

I am a researcher in educational technology whose work explores how digital technologies reshape learning, teaching, and educational institutions. My research combines educational technology, learning sciences, feedback research, and critical perspectives on digital transformation.Current areas of interest include peer feedback and feedback literacy, open and networked learning, AI and misinformation in education, digital learning ecologies, and the societal implications of data-driven and platform-based education. Methodologically, my work spans empirical learning research, psychometric scale development, design-oriented research, and conceptual analyses of digital transformation in education.

I am working as a full professor of educational technology and Chief Information/Chief Digital Officer (CIO/CDO) at the Heidelberg University of Education. I serve as associate editor of the International Journal of Artificial Intelligence in Education and editorial board member of the Journal of Computing in Higher Education. I am a senior-fellow of the Interuniversity Center for Educational Sciences (ICO) and the Dutch research school on information and knowledge systems (SIKS). I work as director of the study program E-Learning and Media Education and director of the Heidelberg Centre for Digital Transformation in Education. Over the years I could secure approx. 4 Mio EUR of research funding for my institutions from competitive projects with a total budget of 36 Mio EUR. I have been an invited keynote speaker on more than 60 conferences and events. Besides European projects I am regularly involved in educational innovation and consulting projects with partners inside and outside of my institutions including clients like the International Labour Organisation, United Nations Environment Program, the European Commission, UNESCO, OECD or other international and national organizations.