This episode explores the balance between technological innovation and human-centered learning through the use of intelligent tutoring systems (ITS) in higher education. With guest speaker Adrienn Toth, we discuss the benefits of ITS—such as personalised feedback, adaptive scaffolding, and improved engagement—while highlighting the critical role of student trust. Trust, Adrienn argues, cannot be engineered by algorithms alone but must be built through intentional design that prioritises transparency, collaboration, and ethical responsibility. By engaging students in the co-creation of these systems—through design input, feedback loops, and opportunities for agency—ITS can empower learners and align more closely with pedagogical values. Adrienn also emphasises that while machines can support learning, it is trust that ensures their effectiveness.

Adrienn Toth is a doctoral student in the Joint Doctoral Program in Learning Sciences offered by ETH Zurich and EPFL. She completed her studies at Corvinus University of Budapest and Erasmus University Rotterdam, with exchange semesters at HEC Montreal and Universidad Torcuato di Tella in Buenos Aires, Argentina. Apart from her studies, she has always worked in the education field, first at a startup and later in a university environment, mainly focusing on content creation and curriculum development.

In her research, Adrienn focuses on supporting the adoption of AI-based Intelligent Tutoring Systems (ITS) in the core curriculum of higher education institutions. More precisely, she would like to understand how students perceive ITS from the data privacy perspective and what are the barriers of increasing their trust in such systems. Building on these identified concerns, the goal of her project is to enhance existing ITS with new features specifically targeting these student concerns and testing their effectiveness in controlled experiments, field studies and qualitative evaluations.