TRACKS

We are living in the era of Industry 4.0 and AI-driven transformation, where Generative AI is rapidly reshaping education, workforce development, and institutional strategies. Across the ASEAN region and beyond, educators, policymakers, and institutions face both challenges and opportunities as AI continues to disrupt traditional teaching, learning, and governance models. Institutions that fail to adapt risk being left behind, as AI-powered tools revolutionize pedagogy, assessment, and administrative decision-making.

In an increasingly Vulnerable, Uncertain, Complex, and Ambiguous (VUCA) world, the ability to track and respond to AI advancements in education is critical. Effective governance, AI literacy, and responsible implementation strategies must be developed to ensure that AI serves as an enabler of equity, innovation, and workforce readiness.

The ASEAN Stakeholder Summit on Generative AI for Education 2025 brings together leading researchers, policymakers, educators, and industry experts to examine the core challenges and opportunities presented by AI-driven digital disruption in education. This summit moves beyond high-level discussions, focusing on research-driven solutions, implementation strategies, and policy advancements that will shape the future of AI-powered education across ASEAN.

This year’s conference will explore these pressing issues through six key tracks:

Click on tracks below for more information

TRACK 1 - Policy, Governance, and Ethical Considerations in AI for Education

This track focuses on issues related to regulatory frameworks, governance models, and ethical challenges associated with the adoption of Generative AI in education. It is crucial to establish responsible policies that ensure transparency, fairness, inclusivity, and data security while fostering innovation.

Conceptual, case-based and empirical papers are welcomed aimed at the following areas:

a. Regulatory frameworks for AI adoption in education

b. Data privacy, security, and intellectual property in AI-driven learning

c. Ethical AI, addressing bias, equity, and inclusivity in AI education

d. ASEAN-wide policies for AI integration in schools and universities

TRACK 2 – AI-Enhanced Teaching, Learning, and Curriculum Design

This track hones in on the transformative impact of Generative AI on pedagogy, instructional design, and curriculum development. It explores how AI can be leveraged to personalize learning, enhance instructional strategies, and support inclusive education. Discussions will address both the opportunities and challenges of integrating AI into teaching and learning while ensuring accessibility and effectiveness.

Papers addressing innovative ideas, best practices, and future aspirations in this space are welcome, focusing on the following broad sub-themes:

a. Personalization of learning experiences through Generative AI

b. AI as a co-teacher: Applications in instructional design

c. AI-driven curriculum enhancement: Challenges and opportunities

d. The role of AI in Universal Design for Learning (UDL)

TRACK 3 – Generative AI for Assessment and Learning Analytics

This track explores the role of Generative AI in transforming assessment practices and learning analytics and examines how they can enhance assessment models, support academic integrity, and provide data-driven insights to improve learning outcomes. Discussions will also address the challenges, ethical considerations, and best practices in leveraging AI for assessment and analytics.

Papers addressing innovative applications, research findings, and practical implementations in this space are welcome, focusing on the following broad sub-themes:

a. AI-supported assessment models: Adaptive, formative, and summative assessments

b. Generative AI for academic integrity: Plagiarism detection and originality checking

c. Data-driven decision-making in education using AI analytics

d. Case studies on AI-enhanced assessment methods

TRACK 4 – Infrastructure, Digital Readiness, and AI Capacity Building

This track explores the critical infrastructure, digital preparedness, and capacity-building efforts required for the effective adoption of AI in education. It is essential to ensure that educators, students, and institutions are equipped with the necessary tools, knowledge, and support systems. This track examines infrastructure challenges, digital equity, AI literacy, and professional development to bridge the digital divide and promote sustainable AI adoption.

Papers addressing strategies, research findings, and case studies in this space are welcome, focusing on the following broad sub-themes:

a. Digital infrastructure requirements for AI adoption in ASEAN education systems

b. Capacity building and professional development for educators using AI

c. AI literacy for students and teachers: Bridging the digital divide

d. Public-private partnerships in AI adoption for education

TRACK 5 – AI and the Future of Work: Preparing ASEAN’s Workforce

This track explores the impact of AI on workforce development, career readiness, and the evolving demands of the job market in ASEAN. It examines how AI can be leveraged to enhance technical and vocational education, upskill educators, and foster industry partnerships that align education with workforce needs.

Papers addressing emerging trends, skill development strategies, and best practices in this space are welcome, focusing on the following broad sub-themes:

a. AI-driven skill development and career readiness

b. The role of AI in TVET (Technical and Vocational Education and Training)

c. AI upskilling programs for educators and administrators

d. Industry partnerships for AI competency frameworks in education

TRACK 6 – Research & Innovation in AI for Education

This track highlights cutting-edge research, pilot projects, and innovative applications of AI in education. As Generative AI continues to evolve, its integration into educational settings presents new opportunities and challenges. This track examines the impact of AI on pedagogical methodologies, accessibility, and the future of learning while showcasing research-driven advancements in AI-powered education.

Papers addressing case studies, empirical research, and forward-looking innovations in this space are welcome, focusing on the following broad sub-themes:

a. Case studies and pilot projects of AI integration in ASEAN classrooms

b. The impact of AI on pedagogical methodologies

c. AI for accessibility and inclusion in education

d. Future trends in AI-enhanced education

PUBLICATIONS

For further assistance, please do contact us at asean-ai@apu.edu.my

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