Presentation Panel
The Integration and Impact of Generative AI in Education
Date Friday, Nov 29 Time –
This session will examine the role of AI in higher education, focusing on practical, technical, and pedagogical aspects of integrating AI tools into teaching and learning. The discussion will cover strategies for incorporating AI-powered systems, such as chatbots and AI teachers, while addressing their benefits and limitations. Participants will engage with key frameworks and methodologies for AI implementation, explore real-world case studies, and gain insights into how to scale AI use across educational contexts.
Jesper Vedel Bertelsen
Associate Professor, UCL, United Kingdom
Jesper Vedel Bertelsen possesses over 15 years of extensive experience in the utilization of digital technologies within the education sector. He places a strong emphasis on creating added value for both students and educators. Jesper oversees multiple projects related to digital technologies, including a project focused on the implementation of generative AI among educators and students. Furthermore, he is actively involved in the continuous professional development of educators in relation to digital technologies and didactics.
In addition, Jesper serves as a consultant to leaders, offering strategic advice concerning decisions related to digital technologies.
Links
Nada Dabbagh
Professor, George Mason University, United States of America
Nada Dabbagh is a professor and the director of the learning technologies division in the College of Education and Human Development at George Mason University in Fairfax, Virginia. She holds a PhD in instructional systems design from the Pennsylvania State University. She teaches graduate courses in instructional design, eLearning design and pedagogy, and cognition and technology. Nada’s research focuses on the pedagogical ecology of learning technologies with the goal of understanding the social and cognitive consequences of learning systems design. Specific research interests include interaction design, personal learning environments, case problem generation and representation in problem-based learning, supporting self-regulated learning in online learning, and leveraging social media for personalized learning experiences.
Tom Naberink
Lecturer, aivoordocenten.com & Hogeschool Arnhem en Nijmegen, Netherlands
Teacher and Researcher at University of Applied Sciences Arnhem and Nijmegen. Founder of AI-teacher Aisha and sites for helping teachers and students with AI in education.
Jussi-Pekka Järvinen
Head of Training, Educational Technology Services, University of Helsinki, Finland
A digital learning and teaching professional with years of demonstrated experience in the development and management of educational technology use from a pedagogical perspective. Jussi-Pekka holds a Master's Degree in Education from the University of Turku, where he also worked as a university teacher. Jussi-Pekka has worked as the Head of Training and Pedagogical Expert in the EdTech startup Eduten before moving to his current position as the Head of Training at the University of Helsinki's Educational Tecnhology Services unit. Jussi-Pekka and his team develop and train the pedagogical use of educational technology across the University including the use of generative AI in teaching and learning.
Moderator
Martín Rodríguez Jugo
Director of Digital Learning & Online Solutions, IE University
Martin Rodriguez is the Director of Digital Learning & Online Solutions at IE University. This unit designs, produces and distributes IE learning materials (https://iepublishing.ie.edu), multimedia cases, simulations, MOOCs, VR & Immersive experiences, self-paced online courses, and different types of online programs. He has participated in a wide range of projects such as the development of learning materials including multi-player games and simulations, multimedia case studies, the launch and design of online programs, the design and use of learning analytics, virtual reality & immersive learning experiences, the implementation of AI strategies for learning, and many kinds of learning innovation projects.
Practical Tools for GEN AI, Jesper Vedel Bertelsen
In this presentation I will give best practice examples as well as a template to use when working with generative AI as a lecturer.
I will also share a taxonomy on lecturers’ and students´ competencies in relation to the use of generative AI.
AI as a Powerful MindTool, Nada Dabbagh
This session explores the concept of mindtools, which are tools that facilitate knowledge construction and representation, enabling learners to engage with content in meaningful ways. When technology is used as a mindtool, learners actively create and represent their knowledge, making it external and accessible for reflection and feedback. By leveraging Generative AI as a mindtool, the session will demonstrate how it can enhance generative learning, creating a more interactive, personalized, and responsive educational environment.
AI as a ‘Teacher’, Tom Naberink
Hear about a project to build ‘ AI teachers’, how they are implemented them, results so far, and potential future impact.
Evaluation of One Year of Gen AI Integration, Jussi-Pekka Järvinen
Be inspired by the University of Helsinki! From April 2023, Gen AI (called ‘CurreChat) was employed across teaching contexts, (3500 unique users) facilitating pedagogical innovations, some sophisticated and significant. The presenters share exemplary practices and critiques to augment teaching and enhance engagement, their statistics and future.