We study how interactive learning environments can support students in becoming better learners and scientists, focusing on the development of scientific literacies, creativity, and sense making. Our research is rooted in frameworks and methodologies from education, cognitive science, learning analytics, and human-computer interaction.
We are looking for excellent graduate students who seek to create analytics and adaptive technologies that shape the future of learning. Students can join the lab either through the Faculty of Education in Science and Technology or through the Faculty of Data and Decision Sciences.
Please contact us for details.