Presentation Panel
Enhancing Learning with AI: Adaptive Feedback, Curriculum Development, and Personalisation
Date Friday, Nov 29 Time – RoomBellevue
This session will explore how AI transforms learning by creating personalised experiences and dynamic feedback systems. Participants will learn how AI can improve self-regulated learning through customised feedback, boosting both teaching efficiency and learner outcomes. The session will also introduce AI-driven tools that support curriculum development and content creation, combining theoretical insights with practical applications.
Understand the impact of AI on learning: Participants will be able to explain how AI transforms traditional learning models by creating personalized experiences and dynamic feedback systems. Enhance self-regulated learning: Participants will demonstrate an understanding of how AI-driven feedback can support self-regulated learning, improving both teaching efficiency and learner outcomes.
Sam Toorchi Roodsari
Research Associate, AI Developer and Product Manager, TU Dresden, Germany
I am an AI developer for digital learning environments at the Westermann Gruppe GmbH and a developer for technology-enhanced learning at the Center for Open Digital Innovation and Participation (CODIP) at the TU Dresden. With a strong background in AI and game development, I bring innovative solutions to educational technology and work on the theory-driven development of effective, digitally-supported learning environments. My goal is to personalize and enhance learning experiences by combining a focus on theoretical foundations with the use of artificial intelligence.
Gábor Kismihók
Head of Learning and Skill Analytics Lab, TIB – Leibniz Information Centre for Science and Technology and University Library, Germany
Gábor is the head of the Learning and Skill Analytics Lab at the TIB – Leibniz Information Centre for Science and Technology in Hannover, Germany. He has been concentrating his research efforts on the multi-disciplinary area of matching processes between education, labour market, and individuals. Within this field he has been carrying out research on 1) Artificial Intelligence (AI) and (in)formal learning 2), utilising Open Educational Resources (OERs) for upskilling and re-skilling individuals, 3) changing nature of work and its impact on education, 4) role of knowledge and the assessment of knowledge in bridging the education – labour market divide. A major output of these research efforts is eDoer, an open, AI driven learning platform: http://edoer.eu/. List of publications: http://kismihok.hu/
Links
Diana Salomé Gayol
Researcher. Psycho-pedagogical advisor for AI systems, Barcelo Foundation.Faculty of Medicine, Argentina
Doctor in Psychopedagogy, University Degree in Education and Psychopedagogue. She is Director of the Diploma in Didactics and University Pedagogy in Health Areas and Coordinator of the School of Assistants. She teaches postgraduate courses in the Master of Public Health and is a researcher. She has written books and articles in specialized books and journals. Her current research is DISRUPTIVE DEFENSE IN THE WORLD 4.0: ARTIFICIAL INTELLIGENCE IN EDUCATION IN HEALTH AREAS, at the School of Medicine of the Barceló Foundation in Buenos Aires. She is a member of the Argentine Society of Artificial Intelligence and psychopedagogical advisor in educational systems with AI.
Carolin Eisentraut
Community Managerin, TIB - Leibniz Information Centre for Science and Technology, Germany
Moderator
Laura Trujillo Liñán
Dean Open University, Universidad Panamericana
Laura Trujillo-Liñán is a professor/researcher of Philosophy and Media at Universidad Panamericana, Head of the Universidad Panamericana Open University, she is a trustee of the Institute of General Semantics, member of the Board of the Media Ecology Association, member of the Asociación Filosófica de México (AFM), member of the National Research System in Mexico, City (SNI) and of the International Communication Association (ICA). She has a BA and MA in Philosophy. She also received his PhD in History of Thought at Universidad Panamericana with a work about the Formal Cause in Marshall McLuhan and Aristotle. She is the recipient of the Media Ecology Association’s Marshall McLuhan Award for Outstanding Book for Formal Cause in Marshall McLuhan’sThinking: An Aristotelian Perspective. She is the autor of several articles and book chapters on topics related to Marshall McLuhan, Aristotle, metaphysics, ethics and media
Instructional Design and AI in Learning Environments: Developing Competency-Validated Adaptive Feedback for Higher Education, Sam Toorchi Roodsari
The focus of this session is to present a theory-based AI-driven personalized feedback system designed to develop sustainable competencies, grounded in Instructional Design Theory.
Lessons Learned from Five Years of Research and Development Work Resulting in eDoer, a Human - AI Cooperation Based Learning Platform, Gábor Kismihók, Carolin Eisentraut
This presentation will be about our journey, which we took to develop a hybrid, human-AI interaction based learning platform eDoer (https://edoer.eu/). We will showcase the development and corresponding research activities related to this research and development work, which aims at utilizing the vast amount of freely available open learning content on the internet.
Artificial Intelligence and the Personalization of Learning: A New Horizon in Education within the Framework of Competencies and Neuroscience Contributions, Diana Salomé Gayol
This presentation proposes exploring the use of AI in education to personalize learning experiences, improve skills across various disciplines, and analyze cognitive functions. It aims to examine how AI can enhance adaptive learning systems, optimize assessments, and incorporate neuroscience insights to create more effective educational approaches.