Session
Organizer 1: Private Sector, Asia-Pacific Group
Organizer 2: Technical Community, Asia-Pacific Group
Organizer 3: Civil Society, Intergovernmental Organization
Organizer 4: Intergovernmental Organization, Intergovernmental Organization
Organizer 2: Technical Community, Asia-Pacific Group
Organizer 3: Civil Society, Intergovernmental Organization
Organizer 4: Intergovernmental Organization, Intergovernmental Organization
Speaker 1: Kopal Gupta, Private Sector, Asia-Pacific Group
Speaker 2: Dr.Rajendra Pratap Gupta, Civil Society, Intergovernmental Organization
Speaker 3: Rajendra Gupta, Technical Community, Asia-Pacific Group
Speaker 4: DellAccio Dino Cataldo, Intergovernmental Organization, Intergovernmental Organization
Speaker 5: Reyansh Gupta, Civil Society, Asia-Pacific Group
Speaker 2: Dr.Rajendra Pratap Gupta, Civil Society, Intergovernmental Organization
Speaker 3: Rajendra Gupta, Technical Community, Asia-Pacific Group
Speaker 4: DellAccio Dino Cataldo, Intergovernmental Organization, Intergovernmental Organization
Speaker 5: Reyansh Gupta, Civil Society, Asia-Pacific Group
Format
Roundtable
Duration (minutes): 30
Format description: Layout - Roundtable: is best suited as it fosters interactive discussions, engagement, and collaboration, aligning with the session’s goal of exploring metacognition in AI-driven learning. It allows diverse stakeholders (educators, policymakers, technologists) to exchange ideas freely, ensuring active participation. Duratio 30-minute: keeps the session concise and focused, balancing expert insights with interactive elements like live polls and case discussions. This format ensures interactive engagement, making it effective.
Duration (minutes): 30
Format description: Layout - Roundtable: is best suited as it fosters interactive discussions, engagement, and collaboration, aligning with the session’s goal of exploring metacognition in AI-driven learning. It allows diverse stakeholders (educators, policymakers, technologists) to exchange ideas freely, ensuring active participation. Duratio 30-minute: keeps the session concise and focused, balancing expert insights with interactive elements like live polls and case discussions. This format ensures interactive engagement, making it effective.
Policy Question(s)
1. How can education policies integrate metacognitive skills to ensure AI literacy and critical thinking for lifelong learning?
2. What frameworks can policymakers develop to balance AI-driven automation with human cognitive development and ethical decision-making?
3. How can diverse stakeholders (governments, educators, tech developers) collaborate to create inclusive AI education models that foster metacognition and digital resilience?
What will participants gain from attending this session? Participants will gain a deeper understanding of metacognition’s role in AI-driven learning and decision-making. They will explore practical strategies to enhance critical thinking, adaptability, and lifelong learning in an AI-powered world.
The session will offer diverse perspectives from educators, technologists, and policymakers, showcasing real-world applications and best practices. Attendees will engage with interactive tools like live polls, group discussions, case studies, and collaborative platforms, equipping them with actionable insights to apply metacognitive skills in their own domains.
The aim is to develop and foster responsible AI use and self-aware learning, aligned with SDG 4 (Quality Education).
SDGs
Description:
As AI transforms learning and decision-making, metacognition—the ability to reflect on one’s thinking—is essential. This session explores how AI can enhance critical thinking and lifelong learning, aligning with SDG 4 (Quality Education). Experts from education, technology, and policy will share best practices and real-world applications, ensuring diverse perspectives. Through interactive discussions, live polls, and case-based activities, participants will engage in hands-on exploration of metacognitive strategies for AI-driven environments. The session will leverage hybrid tools to foster an inclusive, engaging experience for both online and onsite attendees, promoting responsible AI use and self-aware learning.
As AI transforms learning and decision-making, metacognition—the ability to reflect on one’s thinking—is essential. This session explores how AI can enhance critical thinking and lifelong learning, aligning with SDG 4 (Quality Education). Experts from education, technology, and policy will share best practices and real-world applications, ensuring diverse perspectives. Through interactive discussions, live polls, and case-based activities, participants will engage in hands-on exploration of metacognitive strategies for AI-driven environments. The session will leverage hybrid tools to foster an inclusive, engaging experience for both online and onsite attendees, promoting responsible AI use and self-aware learning.
Expected Outcomes
Outcomes:
1. Enhanced Understanding – Participants will learn how metacognition supports AI-driven learning and critical thinking.
2. Policy Insights – The session will generate recommendations for integrating metacognitive skills into AI education policies (SDG 4).
3. Cross-Sector Collaboration – Encouraging partnerships among educators, policymakers, and technologists.
Outputs:
1. Policy Brief summarizing key discussions and recommendations.
2. Follow-up Webinar/Workshop on practical implementation.
3. Online Resource Hub with materials, best practices, and a discussion forum.
Hybrid Format: Moderator to facilitate Interaction and help bridge onsite and online participation, ensuring balanced engagement.
Live Q&A, polls, and discussions to connect the audiences.
A roundtable format to enhance experience of an open dialogue.
Structured discussions and interactive tools to keep engagement high.