Special Session 3: Agentic AI, Customized GPTs, and Intelligent Educational Assistants for Teaching and Learning
Artificial Intelligence (AI) continues to transform educational practices through the development of intelligent technologies that support teaching, learning, assessment, and educational administration. Recent advancements in Generative AI, Agentic AI systems, Large Language Models (LLMs), and Customized GPTs have expanded the capabilities of educational technologies from simple automation tools to intelligent assistants capable of personalized guidance, adaptive support, content generation, and educational decision-making. Agentic AI represents the next stage in AI-enabled education by enabling systems to autonomously perform complex tasks, collaborate with users, and support educational workflows through goal-oriented actions. At the same time, Customized GPTs and intelligent educational assistants are being increasingly adopted by educators and institutions to provide course-specific learning support, personalized tutoring, academic advising, automated feedback, instructional design assistance, and professional learning opportunities. Despite their growing adoption, significant questions remain regarding educational effectiveness, learner engagement, human-AI collaboration, ethical implementation, transparency, academic integrity, governance, and institutional readiness. Researchers and practitioners are now challenged to develop, evaluate, and deploy AI-powered educational systems that are pedagogically effective, trustworthy, equitable, and aligned with educational goals.
This Special Session aims to provide an international platform for researchers, educators, instructional designers, developers, policymakers, and practitioners to share innovative research, practical applications, conceptual frameworks, and empirical studies related to Agentic AI, Customized GPTs, and Intelligent Educational Assistants in educational environments. The session seeks high-quality contributions that advance the understanding of AI-powered educational ecosystems while promoting responsible innovation and human-centered approaches to teaching and learning. The ultimate goal is to explore how intelligent educational technologies can enhance learner success, teacher effectiveness, institutional innovation, and the future of education.
Topics of interest for submission include, but are not limited to:
Agentic AI in Education
- Agentic AI for teaching and learning
- Educational AI agents
- Autonomous learning assistants
- Multi-agent educational systems
- Human-AI collaborative learning environments
- AI-powered academic support systems
Customized GPTs and Educational Large Language Models
- Customized GPT development for education
- Domain-specific educational GPTs
- Course-specific AI assistants
- GPT-powered instructional support
- Large Language Models for teaching and learning
- Educational chatbot design and evaluation
Intelligent Educational Assistants
- Intelligent tutoring systems
- AI teaching assistants
- Conversational learning agents
- Academic advising assistants
- Student support chatbots
- AI mentoring and coaching systems
Personalized and Adaptive Learning
- Personalized learning systems
- Adaptive learning environments
- AI-driven learner profiling
- Intelligent recommendation systems
- Personalized assessment and feedback
- Learning pathway optimization
Teaching, Assessment, and Learning Analytics
- AI-assisted assessment and feedback
- Learning analytics using intelligent agents
- Predictive analytics for student success
- Educational data mining
- AI-supported educational decision-making
- Early warning and intervention systems
Teacher Education and Professional Development
- AI literacy for educators
- Prompt engineering for teaching and learning
- Teacher-AI collaboration
- AI competency development
- Generative AI in teacher education
- Professional learning with intelligent assistants
Ethics, Governance, and Responsible AI
- Responsible AI in education
- Academic integrity and AI
- Explainable and trustworthy educational AI
- Data privacy and security
- AI governance frameworks
- Ethical deployment of intelligent educational systems
Special Session Chairs:
Assoc. Prof. Ronel F. Ramos, FEU Institute of Technology, Manila, Philippines
Ronel F. Ramos is an Associate Faculty Member and researcher at FEU Institute of Technology, Philippines. His research interests include Artificial Intelligence in Education, Educational Technology, Learning Analytics, Teacher Education, Gamification, e-Learning, Emerging Technologies, and Generative AI applications for teaching and learning. He has presented and published research in international conferences focusing on AI-enabled learning environments, educational innovation, and technology-enhanced instruction. His recent scholarly work explores the integration of Generative AI, intelligent educational systems, and human-centered learning approaches to improve educational outcomes and support digital transformation in education.
The manuscript should be submitted via the submission link (http://easychair.org/conferences/?conf=iciet2027), or to icietconf@vip.163.com before the submission deadline.