Session
Organizer 1: Government, Eastern European Group
Organizer 2: Government, Western European and Others Group (WEOG)
Organizer 2: Government, Western European and Others Group (WEOG)
Speaker 1: Valunaite Oleskeviciene Giedre, Government, Eastern European Group
Speaker 2: Egle Celiesiene, Government, Western European and Others Group (WEOG)
Speaker 3: Morten Flate Paulsen, Technical Community, Western European and Others Group (WEOG)
Speaker 2: Egle Celiesiene, Government, Western European and Others Group (WEOG)
Speaker 3: Morten Flate Paulsen, Technical Community, Western European and Others Group (WEOG)
Format
Roundtable
Duration (minutes): 60
Format description: The roundtable format is ideal for this session as it facilitates an interactive, collaborative environment where participants can engage in meaningful discussions. Given the multifaceted nature of the topic—AI's integration into education and its ethical implications—the roundtable encourages diverse viewpoints, fosters idea exchange, and supports deeper dialogue between various stakeholders, including educators, researchers, and policymakers. This setup is essential for exploring complex issues and generating actionable solutions. A 60-minute duration is optimal for maintaining a focused, productive conversation while allowing enough time for all participants to contribute their insights. This timeframe strikes a balance between providing ample discussion time and ensuring the session remains engaging and dynamic, preventing fatigue and information overload.
Duration (minutes): 60
Format description: The roundtable format is ideal for this session as it facilitates an interactive, collaborative environment where participants can engage in meaningful discussions. Given the multifaceted nature of the topic—AI's integration into education and its ethical implications—the roundtable encourages diverse viewpoints, fosters idea exchange, and supports deeper dialogue between various stakeholders, including educators, researchers, and policymakers. This setup is essential for exploring complex issues and generating actionable solutions. A 60-minute duration is optimal for maintaining a focused, productive conversation while allowing enough time for all participants to contribute their insights. This timeframe strikes a balance between providing ample discussion time and ensuring the session remains engaging and dynamic, preventing fatigue and information overload.
Policy Question(s)
1. How can AI be effectively integrated into traditional educational frameworks without disrupting existing pedagogical values and practices?
2. What ethical considerations must be addressed when implementing AI in schools to ensure equity, accessibility, and data privacy for all learners?
3. How can policymakers support the development of AI-driven educational tools that promote self-directed learning while maintaining oversight and accountability in educational settings?
What will participants gain from attending this session? Participants in this session will gain a deeper understanding of the transformative potential of Artificial Intelligence (AI) in education, particularly its role in reshaping teaching, learning, and educational policy. They will explore diverse perspectives on integrating AI into traditional educational frameworks while addressing key concerns related to ethics, effectiveness, and equity. Attendees will learn about innovative methodologies, such as the 3D triangulation methodology for evaluating school effectiveness, and how AI can support self-directed learning in high school settings. By engaging with case studies and best practices, participants will take away practical tools and strategies for implementing AI in educational contexts. This session will also encourage critical reflection on the balance between AI-driven innovation and traditional pedagogical values, enabling attendees to make informed decisions about the future of AI in education.
Description:
In this session, we will critically examine the evolving role of Artificial Intelligence (AI) in education, highlighting both its transformative potential and its implications for traditional pedagogical practices. Focusing on the integration of generative AI, we will explore how this technology can reshape teaching, learning, and educational policy across various levels, from high schools to broader educational systems. We will begin by addressing the challenges and opportunities of Digital Didactics in School Education, analyzing how AI tools can be leveraged to create dynamic learning environments while questioning the impact of rapid technological advancements on established educational frameworks. Drawing on the latest research, including UNESCO’s insights, we will discuss the ethical and practical concerns surrounding AI's role in schools and the need for a cautious, balanced approach to integration. Next, we will explore innovative methodologies for Evaluating School Effectiveness and Improvement, focusing on the development of a 3D triangulation methodology. This approach integrates big data analysis, quantitative, and qualitative research to evaluate educational outcomes and effectiveness, providing valuable insights into the relationship between school culture, students’ attributes, and learning results. Additionally, we will delve into the potential of Technology-based Self-directed Learning, examining how AI can support high school students in taking control of their learning paths. We will discuss how this technology fosters personalized, goal-driven learning experiences, empowering students to become self-directed learners, and influencing educational policymaking. By presenting diverse perspectives and showcasing real-world examples, this session aims to stimulate thought-provoking discussions on AI’s impact on education. Participants will gain a deeper understanding of how AI can both enhance and challenge traditional teaching methods, and explore best practices for implementing AI in schools to maximize positive outcomes.
In this session, we will critically examine the evolving role of Artificial Intelligence (AI) in education, highlighting both its transformative potential and its implications for traditional pedagogical practices. Focusing on the integration of generative AI, we will explore how this technology can reshape teaching, learning, and educational policy across various levels, from high schools to broader educational systems. We will begin by addressing the challenges and opportunities of Digital Didactics in School Education, analyzing how AI tools can be leveraged to create dynamic learning environments while questioning the impact of rapid technological advancements on established educational frameworks. Drawing on the latest research, including UNESCO’s insights, we will discuss the ethical and practical concerns surrounding AI's role in schools and the need for a cautious, balanced approach to integration. Next, we will explore innovative methodologies for Evaluating School Effectiveness and Improvement, focusing on the development of a 3D triangulation methodology. This approach integrates big data analysis, quantitative, and qualitative research to evaluate educational outcomes and effectiveness, providing valuable insights into the relationship between school culture, students’ attributes, and learning results. Additionally, we will delve into the potential of Technology-based Self-directed Learning, examining how AI can support high school students in taking control of their learning paths. We will discuss how this technology fosters personalized, goal-driven learning experiences, empowering students to become self-directed learners, and influencing educational policymaking. By presenting diverse perspectives and showcasing real-world examples, this session aims to stimulate thought-provoking discussions on AI’s impact on education. Participants will gain a deeper understanding of how AI can both enhance and challenge traditional teaching methods, and explore best practices for implementing AI in schools to maximize positive outcomes.
Expected Outcomes
The expected outcomes of this session include a deeper understanding of the transformative potential of AI in education, particularly in integrating it with traditional teaching methods while addressing ethical concerns. Participants will gain practical insights into evaluating school effectiveness using AI-driven methodologies and fostering self-directed learning. The session aims to foster an ongoing dialogue about the balance between innovation and tradition in educational policy, helping to inform future policymaking. Additionally, the session will contribute to the development of best practices for AI integration in schools. As a follow-up, we anticipate the publication of a report summarizing key insights and recommendations, as well as potential collaboration on research or workshops exploring AI’s role in education.
Hybrid Format: To ensure active engagement from both onsite and online participants, we will use Teams to integrate virtual attendees into the session. Questions will be collected via Slido, encouraging active participation in discussions. The moderator will continuously interact with online participants, asking questions, inviting them to join the conversation through chat, and encouraging their active involvement. Every participant, whether onsite or online, will have the opportunity to engage in discussions and contribute to the session’s development.
This approach will ensure that both onsite and online attendees feel included in the discussion and can actively participate in the session’s activities.