CALL FOR PAPERS

2nd International Conference on AI-Driven STEM Education and Learning Technologies

October 26–27, 2026|Hybrid

Prince Mohammad Bin Fahd University (PMU), Al Khobar, Saudi Arabia

https://aistemedu.org/

Scope of the conference

AISTEMEDU 2026 aims to foster transdisciplinary research that advances AI applications in education, computational sciences, humanities, and sustainable technologies. Aligned with Saudi Vision 2030, the conference brings together academia, industry, and policymakers to explore AI-driven innovations that enhance learning methodologies, optimize smart systems, and promote ethical AI adoption for societal transformation.

AISTEMEDU 2026 will focus on the following key areas:

Advancing AI-driven learning methodologies, intelligent tutoring systems, and adaptive educational technologies to enhance student engagement and knowledge acquisition.

Exploring advanced mathematical and computational techniques to optimize AI applications, driving economic diversification and technological progress.

Generating innovative solutions to develop humanities through AI applications; facing ethical and intellectual challenges.

Showcasing AI-powered solutions in economic and environmental sustainability, smart infrastructure, and renewable energy to support global green initiatives and Net Zero goals.

Examining AI governance, ethical considerations, and workforce transformation to ensure responsible AI integration in education, industry, and society.

AISTEMEDU 2026 serves as a collaborative platform for research and innovation, supporting Saudi Arabia’s vision of a knowledge-based, sustainable, and AI-driven future.

AISTEMEDU event

We are hosting the conference in a hybrid mode to ensure greater accessibility and inclusivity, allowing participants from different locations to join virtually if they are unable to attend in person. This format also enhances engagement by leveraging digital tools for interactive discussions while maintaining the benefits of face-to-face networking and collaboration.

We invite papers that explore the transformative role of AI across diverse fields, from personalized education systems and curriculum design to sustainable development, smart cities, and AI-driven climate solutions. Topics of interest include AI ethics, policy frameworks, workforce intelligence, organizational transformation, and the integration of AI in emerging technologies, with an emphasis on fostering equity, inclusion, and social impact through interdisciplinary innovation.

1. AI-Driven Education, Learning Sciences, and Human Development

AI in personalized, adaptive, and intelligent learning systems

AI for curriculum design, assessment, and learning analytics

Human-AI interaction in educational contexts

AI in language learning, educational psychology, and cognitive development

Equity, inclusion, and ethical dimensions of AI in education

Digital transformation, e-learning technologies, and future learning models

2. Mathematics, Computational Intelligence, and AI Foundations

Applied mathematics and optimization for AI systems

Computational modeling, simulation, and intelligent systems

Cryptography, secure computation, and AI in cybersecurity

Data science, algorithm design, and computational social systems

AI in economic, financial, and decision sciences modeling

Network science, complexity, and socio-technical systems

3. AI for Sustainable Development, Smart Systems, and Environmental Resilience

AI-driven climate solutions and environmental sustainability

Smart cities, smart infrastructure, and renewable energy systems

Sustainable manufacturing, automation, and green AI

AI for urban planning and social infrastructure

AI governance for sustainability and environmental ethics

Community-based AI and AI for UN Sustainable Development Goals (SDGs)

4. AI Ethics, Policy, and Global Governance

Ethical, transparent, and accountable AI systems

AI in public administration, governance, and policymaking

AI and human rights, labor markets, and workforce policy

AI in media, communication, and public discourse

Philosophical foundations and cultural implications of AI

Regulation, global legislation, and responsible AI frameworks

5. Innovation, Leadership, and AI-Driven Organizational Transformation

AI for strategic decision-making and organizational excellence

Human-AI collaboration in leadership and management

AI in global business, entrepreneurship, and emerging markets

Innovation studies and transformative AI applications

Behavioral insights and AI-augmented decision sciences

AI for social innovation, community impact, and institutional change

6. AI for Emerging Technologies, Workforce Intelligence, and Future Skills

AI-driven skill forecasting and labor market intelligence

Predictive workforce planning and talent development systems

AI in curriculum governance and higher education transformation

Lifelong learning, reskilling, and digital credentials

Reinforcement learning and adaptive systems for skills optimization

Workforce equity, inclusion, and AI-enabled opportunity access

Conference host:Prince Mohammad Bin Fahd University (PMU)

Authors are invited to submit original papers of no more than eight A4 pages using the standard template. Please follow the instructions for authors on the conference website. The papers must clearly state the objectives of the work, its significance in advancing the state of the art, and the methods and specific results in sufficient detail to assess the novelty of the work. The submission should include appropriate key equations, figures, tables, and references.

Papers not conforming to these requirements will be rejected without review. All submissions will go through a single-blind peer review process. Submissions should be made via ConfManage, linked from the conference website.

Email:aistemedu@pmu.edu.sa

Web:https://aistemedu.org/