Daniele Agostini

Daniele Agostini serves as a Teaching Fellow across six departments at the University of Trento: Cellular, Computational and Integrative Biology; Humanities; Psychology and Cognitive Science; Information Engineering and Computer Science; Physics; and Mathematics. Based in Trento at Via Tommaso Gar 14, he drives innovation in educational technology with a focus on practical teacher training solutions and AI integration.

His research centers on Artificial Intelligence applications in education, particularly authentic assessment systems using Large Language Models, virtual reality for soft skills development, and flexible learning frameworks. Key interests include Human Computer Interaction in educational contexts, digital pedagogy, and teacher training methodologies that bridge technology with cognitive science principles. His work emphasizes student-centered approaches and faculty development in higher education settings.

Analysis of his 15 most recent publications reveals a dominant 2025 focus on AI-driven assessment tools (40% of output), virtual reality training environments (20%), and teacher development frameworks (30%). His research consistently addresses real-world implementation challenges in flipped and blended classrooms, with strong emphasis on scaffolding techniques and self-regulation strategies. The work shows increasing collaboration with institutional stakeholders at University of Trento.