Research

Learning technologies research is an interdisciplinary field that investigates how technology can enhance learning and teaching. It involves the design, development, and evaluation of tools, platforms, and strategies that support learning and related educational processes. This research explores a wide array of technologies—from learning platforms and mobile applications to artificial intelligence (AI), virtual reality (VR), and digital games.

Learning analytics (LA) research is a interdisciplinary subfield of learning technologies research that focuses on collecting, analyzing, and interpreting data from educational settings to understand and improve learning processes and environments. It uses theories and methods of data science and artificial intelligence, but also draws from educational theory and didactics to provide insights into student behaviors, performance, and learning outcomes. This research helps educators, administrators, and learners make informed decisions that can lead to more effective and personalized learning experiences.

Computer Science Education Research (CSEd) is a field focused on studying how people learn and teach computer science (CS). It involves investigating teaching methods, learning environments, curricula, tools, and policies that support effective computer science education at all levels—from elementary school to higher education and professional development. The goal of CSEd research is to understand the challenges in teaching CS, improve educational practices, and ensure equitable access to CS knowledge and skills.

Research in digital learning and education is the study of how digital technologies impact teaching, learning, and educational contexts. It focuses on understanding the ways in which digital tools, resources, and platforms can enhance or transform educational experiences and outcomes for learners, educators, and institutions. This research spans various domains, including eDidactics and technology-enhanced learning (TEL).