Speakers

Danimir Mandić, PhD

Dean / Full Professor in Informatics and Educational Technology

Teacher Education Faculty, University of Belgrade, Serbia

Plenary I Intelligent Education in the Age of AI: Teachers, AI Agents, Personalized Learning and New Models of Assessment

Artificial intelligence is transforming education from a digitally supported environment into an increasingly intelligent, adaptive, and personalized learning ecosystem. This transformation requires a reconsideration of the roles of teachers, learners, educational technologies, and assessment. Rather than replacing teachers, AI should be viewed as a pedagogical partner that can support professional decision-making, personalize learning pathways, provide timely feedback, and enhance learner engagement and autonomy.

This plenary presentation explores intelligent education through four interconnected dimensions: teacher competence and professional development, AI agents and interactive educational avatars, personalized learning, and emerging models of assessment. Particular attention is given to the role of teachers in designing pedagogically meaningful AI-supported environments while maintaining human oversight, ethical responsibility, transparency, and educational relevance.

The presentation also examines how AI agents can provide context-sensitive explanations, multimodal resources, adaptive support, and formative feedback according to learners’ needs, interests, and progress. In parallel, new approaches to assessment are considered, shifting from the evaluation of final outcomes toward continuous, formative, competence-based, and data-informed assessment.

Examples from teacher training, intelligent learning platforms, and interactive avatars developed within the Centre for Robotics and Artificial Intelligence in Education illustrate the practical implementation of these principles. The central argument is that the future of intelligent education depends not only on advanced AI technologies, but primarily on pedagogical design, teacher competence, responsible implementation, and effective human–AI collaboration.

Andreja Klančar, PhD

Assistant Professor in Computer science education and Educational technology

University of Primorska, Faculty of Education and Centre for Responsible AI (CeResAI), Koper, Slovenia

Plenary II Rethinking Higher Education: Teaching, Learning and Assessment in the Age of Generative AI

Generative artificial intelligence is creating new possibilities for teaching, learning, and assessment in higher education, while also raising questions about student learning, academic integrity, authorship, and the role of teachers. The educational value of technology depends not only on access and functionality, but also on pedagogical design, interaction, learner engagement, and alignment with intended learning outcomes. The rapid integration of generative AI therefore requires a reconsideration of how learning activities are designed, how student work is supported, and how evidence of learning is assessed.

This plenary presentation examines how higher education institutions and teachers can approach the use of generative AI in a systematic, pedagogically grounded, and responsible way. Particular attention is given to the alignment of learning outcomes, learning activities, assessment, and permitted forms of AI support, as well as to transparency regarding AI use and the distinction between uses that support learning and those that may substitute for the cognitive work students are expected to undertake.

Responsible and ethical use of generative AI in higher education requires pedagogically justified decisions about where and how AI is used, transparent expectations for its use, assessment practices that provide valid evidence of student learning, and explicit consideration of the potential risks associated with its use.

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