Prof. I. Molenaar (Inge)

Associate professor - Behavioural Science Institute
Professor - Orthopedagogics: Learning and Development

Prof. I. Molenaar (Inge)
Visiting address

Thomas van Aquinostraat 4

Postal address

Postbus 9104

PhD Inge Molenaar has master degrees in both Cognitive Psychology and International business. She received her PhD in educational sciences at the University of Amsterdam, and currently is an professor of Education and Artificial Intelligence at learning, education and development group of the Behavioural Science Institute at Radboud University Nijmegen. Her main interests are technology empowered innovation in education that facilitate students’ talent development. Her research focuses on the application of data from online learning environments, apps and games (learning analytics) in understanding how regulation of learning unfolds over time. Temporal analyses offer a powerful way to make new steps towards innovative learning designs. In this respect, it is relevant to note that Inge Molenaar was a guest editor of a recent special issue in Metacogntion and Learning about the temporal and sequential characteristics of self and socially regulated learning. She is a member of the editorial board of metacognition and learning and has received several grants from the Dutch Science Foundation, the European Union and several national bodies. Relevant for the current project are her research on developing intelligent tutors (Atgentive, EU project) for adaptive scaffolding of self-regulated learning. She (co)supervises various PhD and master projects related to the current proposal.

See Adaptive Learning Lab page for an overview of dr Molenaar's group

Research theme
  • Adaptive Learnign Technologies, Learning Analytics en Artificiële Intelligence in Education
Research group




Media mentions

Curriculum Vitae

Ancillary activities

Inge Molenaar focuses on the role of artificial intelligence in education. She is interested in the interface between education and technology, and how we can develop personalised systems that are better suited to the needs of students.