სემინარები

Wayne Holmes

Dr Wayne Holmes
MA, MSc (Oxon), PhD (Oxon)

| University College London, UCL Knowledge Lab (UK): Associate Professor (AI and Education)

| University of Nova Gorica (Slovenia): Adjunct Associate Professor (AI and Education)

| The Council of Europe: Lead Expert (AI and Education)

| IRCAI (International Research Centre of Artificial Intelligence) (Slovenia): Senior Researcher (AI and Education)

| UNESCO, Technology and Artificial Intelligence in Education unit: Consultant (AI and Education)

 

abstract:

 

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 teachers, student underachievement, and better preparing learners for career paths that may be very different from current paradigms. However, such claims tend to be aspirational rather than evidence-based, and overly simplistic, forgetting issues such as agency, pedagogy, surveillance, efficacy, safety, and ethics (Holmes et al., 2021; Holmes et al., 2022; Holmes & Porayska-Pomsta, 2022; Porayska-Pomsta, Holmes and Nemorin, 2023). Current approaches tend to be solutions- rather than problems-oriented, and all too often replace teacher functions rather than empower teachers, while the teaching of AI almost always focuses on the technological dimension of AI to the exclusion of the human dimension. Accordingly, this presentation will explore teaching and learning with and about AI, from a critical studies and human rights perspective. It will identify and address many of the key myths and will pose more questions about AI and the futures of learning than it answers.