Time will tell: The role of mobile learning analytics in self-regulated learning

Nov 30, 2015·
Bernardo Tabuenca
Marco Kalz
Marco Kalz
,
Hendrik Drachsler
,
Marcus Specht
· 1 min read
Abstract
This longitudinal study explores the effects of tracking and monitoring time devoted to learn with a mobile tool, on self-regulated learning. Graduate students (n = 36) from three different online courses used their own mobile devices to track how much time they devoted to learn over a period of four months. Repeated measures of the Online Self-Regulated Learning Questionnaire and Validity and Reliability of Time Management Questionnaire were taken along the course. Our findings reveal positive effects of tracking time on time management skills. Variations in the channel, content and timing of the mobile notifications to foster reflective practice are investigated, and time-logging patterns are described. These results not only provide evidence of the benefits of recording learning time, but also suggest relevant cues on how mobile notifications should be designed and prompted towards self-regulated learning of students in online courses.
Type
Publication
Computers & Education, 89, 53-74. Elsevier
publications publications

Tabuenca, B., Kalz, M., Drachsler, H., & Specht, M. (2015). Time will tell: The role of mobile learning analytics in self-regulated learning. Computers & Education, 89, 53-74. https://doi.org/10.1016/j.compedu.2015.08.004

Self-Regulated Learning Time Management Learning Analytics Mobile Support
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.