EDUCATION & CAPACITY BUILDING

This theme explores strategies for enhancing learning systems, skill development, and knowledge transfer to empower individuals and communities. Education plays a pivotal role in fostering economic growth, social inclusion, and innovation, making it essential to develop sustainable and inclusive educational frameworks that address evolving global challenges. The integration of Artificial Intelligence (AI) and Generative AI (Gen AI) in education is transforming traditional learning models, improving accessibility, and personalizing learning experiences to meet the needs of diverse learners.

Key Focus Areas:

  1. Innovative Pedagogies: Exploring novel teaching and learning approaches that foster critical thinking, creativity, and problem-solving skills. Emphasis is placed on student-centered methodologies, project-based learning, and the integration of AI-driven tools to enhance engagement and effectiveness.
  2. 21st Century Skills Development: Addressing essential skills such as digital literacy, adaptability, resilience, and cultural competence. This focus area examines how AI-powered education can nurture holistic competencies needed for success in diverse personal, professional, and societal contexts.
  3. Equity and Inclusive Education: Highlighting the importance of inclusive educational practices that cater to the diverse needs of learners regardless of background, abilities, or socio-economic status. AI and Gen AI technologies offer opportunities to bridge learning gaps and provide personalized education to marginalized communities.
  4. Lifelong Learning and Professional Development: Recognizing learning as a continuous journey, this focus area emphasizes ongoing skill enhancement and professional growth for educators and learners. AI-driven adaptive learning platforms support personalized learning paths, fostering a culture of lifelong education.
  5. Capacity Building for Educators: Examining strategies for strengthening teacher training programs, leadership development, and mentorship opportunities to improve educational outcomes and institutional effectiveness. AI-powered analytics provide insights into learner progress and instructional improvements.
  6. AI and Gen AI in Education: Exploring the transformative role of AI and Gen AI in personalized learning, automated content creation, intelligent tutoring systems, and enhanced student engagement. This focus area examines the ethical considerations, challenges, and opportunities in leveraging AI for educational growth.
  7. Education for Sustainable Development: Exploring the role of education in promoting sustainability, environmental stewardship, and global citizenship. AI-driven simulations and data analytics contribute to better decision-making and problem-solving in sustainability education.
  8. Policy and Governance in Education: Assessing the role of policies, governance structures, and international collaborations in shaping resilient and adaptive education systems that incorporate AI technologies while ensuring ethical use and accessibility for all.

Objectives:

  • To foster interdisciplinary dialogue and collaboration among educators, policymakers, researchers, and industry professionals.
  • To showcase innovative research, best practices, and successful case studies in education and capacity building.
  • To explore the role of AI and Gen AI in revolutionizing education and enhancing learning outcomes.
  • To identify challenges, opportunities, and policy recommendations for enhancing education systems and lifelong learning.
  • To promote knowledge exchange and capacity-building initiatives that support sustainable and inclusive education.

Call for Papers and Participation:

Researchers, educators, policymakers, and stakeholders are invited to submit abstracts and participate in the conference sessions, workshops, and panel discussions. We welcome contributions that address the conference theme and key focus areas, including but not limited to:

  • Original research papers
  • Case studies and best practice examples
  • Policy analyses and recommendations
  • AI-driven technological innovations in education
  • Community-based initiatives and stakeholder engagement approaches

Abstract submissions should clearly outline the objectives, methodology, results, and conclusions of the proposed paper or presentation. Authors are encouraged to submit contributions that offer practical insights, theoretical frameworks, and actionable recommendations for advancing education and capacity building.

Join us in exploring the challenges and opportunities in the Education & Capacity Building domain, and together, let us shape a future where education serves as a catalyst for empowerment and sustainable development, with AI and Gen AI as transformative tools in the learning ecosystem.