OECD Education Webinar Samo Varsik - How teachers use AI.pptx

Samo Varsik, Policy Analyst for the Education for Inclusive Societies project, presents at the OECD webinar 'How teachers can use AI effectively' on 1 August 2024

1. The potential impact of artificial intelligence on equity and inclusion in education Samo Varsik 01 August 2024 Education for Inclusive Societies project, Directorate of Education and Skills

2. AI tools are already making a presence in the classroom, but what are they? What do policy makers need to keep in mind in regard to the impact AI tools might have on equity and inclusion in education? Objectives

3. Designed to enhance the learning experience of students Examples: Intelligent tutoring systems AI-enabled simulations AI-enabled tools to support students with SEN Learner- centred tools to support equity and inclusion Teacher-led tools to support equity and inclusion Assist teachers in their instructional and administrative roles Examples: AI-powered robots Assistants with assessment and classroom management Continuing professional learning coaches Aimed at addressing broader institutional objectives such as improving operational efficiency and managing admissions Examples: Smart admission systems Tools for identifying at-risk students Assistants with data-based decision making Other institutional tools that can foster equity and inclusion Taxonomy of AI tools Adapted from Holmes and Tuomi (2022), “State of the art and practice in AI in education”, European Journal of Education , Vol. 57/4, pp. 542-570, https://doi.org/10.1111/ejed.12533 .

4. Opportunities of teacher-led tools for equity and inclusion Supporting teaching with AI-powered robots Curating learning materials Assisting with assessment and classroom management Aiding in the identification of some SEN Offering continuing professional learning opportunities

5. Costs involved in installing, maintaining and repairing AI tools These can be prohibitive, especially for under-resourced schools, leading to disparities in the quality of education offered Overcoming the costs Striking a balance with the commercialisation of education Commercial interests could potentially overshadow educational objectives Risk that the profit motives of commercial entities could lead to a prioritisation of financial gains over educational outcomes Additional concerns regarding privacy, data security and the risk of algorithmic bias Effective integration of AI tools hinges on teachers being adept in using them in their teaching Demands investment in time and resources for teacher training There is already a disparity in training and development opportunities for teachers Equipping educators with knowledge and skills Other challenges Bias Privacy Data security Accountability Challenges of teacher-led tools for equity and inclusion

6. Conclusions Embracing the potential for adaptive learning while addressing privacy, ethical and accountability issues Recognising the potential to enhance cultural responsiveness while keeping in mind inherent biases Balancing the potential for accessibility with challenges such as techno-ableism and impact on socio-emotional skills Developing and improving teacher training in AI Exploring how to maintain educational integrity amidst the growing commercial influence in the sector Encouraging research on the implications of AI for equity and inclusion in education, and clarifying the role of institutions at the national level in its systematic implementation