Keynote Speakers

Dr. Sunny S. J. Lin, Chair Professor

Institute of Education/Center for Teacher Education, National Yang Ming Chiao Tung University, TAIWAN
Title:Academic Facial Emotion Recognition with AI: Momentary Profiles in Knowledge Construction and Feedback Effect in Learning

In this speech, we’ll introduce an innovative AI-based system for recognizing facial emotions in an academic context and studying feedback effects. Professor Lin found that students with adaptive motivation profiles displayed distinct facial emotions during math problem-solving, learning programming languages, and reading science texts, compared to those with less adaptive profiles. Positive facial emotions were less Likely to be observed in the academic learning. Delivering feedback based on facial emotion analytics significantly improved students’ epistemic awareness and positive motivation during knowledge construction. Teachers showed keen interest in understanding critical emotion changes in knowledge construction aligned with instructional design.

Dr. Sunny Lin is a Chair Professor at the National Yang Ming Chiao Tung University, Taiwan. She holds a doctoral degree in Educational Psychology and was previously the Convener for the Discipline of Information and Computer Education at the Ministry of Science and Technology, Taiwan. Her research focuses on integrating advanced technologies into future classrooms to promote highly engaged self-regulated learning. Dr. Lin and her team have built advanced machine learning models with an emphasis on identifying complex academic emotions and their subsequent motivational effects. They have created a dynamic facial emotion dataset based on discrete and dimensional emotion theories, tested recognition accuracies of various models, and developed feedback modules to inform teachers and self-directed learners. Dr. Lin and her students have received best paper awards and nominations from conferences such as ICCE and TWELF, related to teacher effects in digital self-regulated learning and eye movement studies on self-directed reading.

Dr. Wayne Holmes, Professor

UCL Knowledge Lab IOE, UCL’s Faculty of Education and Society, University College London, London, UK

Title:Artificial Intelligence and Education. A Critical Studies Perspective

Artificial Intelligence (AI) is frequently hailed as a ‘solution’ to many of education’s core problems (e.g., OECD, 2021) – problems such as the lack of qualified educators, student underachievement, and better preparing learners for 21st century career paths. However, such claims tend to be aspirational rather than evidence-based (Miao & Holmes, 2021), and overly simplistic, forgetting issues such as agency, pedagogy, surveillance, efficacy, and ethics (Holmes et al., 2021; Holmes et al., 2022; Holmes & Porayska-Pomsta, 2022). In fact, current applications of AI in education tend to be solutions- rather than problems-oriented, and all too often replace educator functions rather than empower educators; while the teaching of AI almost always focuses on the technological dimension of AI to the exclusion of the human dimension (its ethical, human, and social implications). Accordingly, this presentation will explore the application and teaching of Artificial Intelligence in education from a critical studies and human rights perspective. It will identify and address many of the key myths, it will explore the elephant in the room (generative AI), it will argue for a new trajectory, and will pose more questions about AI and education than it answers.

Wayne Holmes (PhD, University of Oxford) is an Associate Professor in the IOE, UCL’s Faculty of Education and Society, at University College London (UK). His research takes a critical studies perspective to the teaching and application of Artificial Intelligence in educational contexts (AI&ED), and their ethical, human, and social justice implications. Wayne is leading the Council of Europe’s AI&ED expert group, which is developing legislation to protect the human rights of students and teachers engaging with AI-enabled systems, for which he co-wrote Artificial Intelligence and Education. A critical view through the Lens of Human Rights, Democracy and the Rule of Law; he is also Consultant for the Technology and AI in Education unit at UNESCO, for which he co-wrote AI and Education: Guidance for Policy-makers and Guidance for Generative AI in Education and Research; and he is a Senior Researcher in AI&ED for IRCAI (the International Research Centre on Artificial Intelligence under the auspices of UNESCO). Wayne has also co-written Artificial Intelligence in Education. Promise and Implications for Teaching and Learning (Holmes et al., 2019), Citizens Interacting with AI Systems (for the EU JRC, Vuorikari and Holmes, 2022), State of the Art and Practice in AI in Education (Holmes and Tuomi, 2022), and The Ethics of AI in Education. Practices, Challenges and Debates (Holmes and Porayska-Pomsta, Eds, 2022). He has given invited keynotes about AI&ED in countries around the world (including Belgium, China, Colombia, Germany, Italy, Mexico, Oman, Portugal, Slovenia, Spain, and the USA) and many other countries online.