Luka Tomat

Luka Tomat, Ph.D, is a full-time member of the Department of Business Informatics and Logistics at the School of Economics and Business at University of Ljubljana, where he teaches courses related to business informatics, digital transformation and data analytics at the under graduate and master's level. In his research, he focuses on digital transformation, the use of different technologies and artificial intelligence in business and education, solving optimization problems, electronic business, business process management, big data analytics, use of digital technology in higher education and several other areas. Luka Tomat participates in various projects, most recently in the field of business process reengineering, digitalization, data analytics, artificial intelligence, and the implementation of modern digital technologies in business and education. Recently, he was actively involved in a University of Ljubljana Centre for the use of ICT in education project entitled “Artificial intelligence in education” focusing on analysing current state of the AI use in the education sector in Slovenia and abroad, testing different AI tools to support education process, and analysing trends in the area of AI tools in higher education.

Artificial Intelligence in Education
Artificial intelligence (AI) has recently been transforming education with increased pace and emergence of generative AI (GenAI) marks a profound conceptual shift. In this short lecture, we will examine conceptual changes that GenAI brings in education (for both students and teachers) and changes not only the tools we use, but also the way we design, deliver, and experience education. The lecture will also briefly touch the practical approaches for using Gen AI in the classroom in a way that supports critical thinking. Special attention will be given changes we did at my domicile school, actively redesigning teaching practices, training educators, and reshaping curricula to integrate AI responsibly into our educational processes. We will also discuss why it is essential to distinguish between “general” GenAI tools (such as ChatGPT, Copilot, Perplexity, Claude etc.) and domain-specific tools (such as Consensus, Elicit, Scite, Jenni etc.). The session will also explore the potential of AI-based personalised learning platforms, showing how they can adapt education to individual learners. Finally, we will address the ethical dimension of GenAI use from the perspective of both teachers and students, focusing on responsible, transparent, and meaningful integration of AI into learning and teaching.