Special Session 2: The Role of Generative Artificial Intelligence in Education: Challenges, Opportunities, and Future Directions

 Description 

Generative Artificial Intelligence (GAI) is rapidly transforming the education sector by reshaping how teaching, learning, assessment, and academic support are designed and delivered. This special session aims to explore the role of GAI in education, with a particular focus on its challenges, opportunities, and future directions. The session will provide a platform for researchers, educators, practitioners, and policymakers to discuss how GAI tools can enhance personalised learning, support intelligent tutoring, improve student engagement, assist curriculum development, and enable innovative approaches to assessment and feedback.
At the same time, the session will address critical challenges associated with the adoption of GAI in educational settings, including academic integrity, data privacy, algorithmic bias, ethical use, digital inequality, teacher readiness, and the reliability of AI-generated content. Contributions are encouraged that examine theoretical, technical, pedagogical, and practical perspectives on integrating GAI into formal and informal learning environments.
The session also welcomes forward-looking studies that propose frameworks, models, policies, and best practices for the responsible and effective use of GAI in education. By bringing together diverse perspectives, this special session aims to promote meaningful discussion on how GAI can be used to support inclusive, ethical, and future-ready education.

 Session Topics 

The topics of interest include, but are not limited to:
 - Generative AI for personalised and adaptive learning
- Opportunities and challenges of ChatGPT and large language models in education
- Ethical, privacy, and security issues in the use of Generative AI for teaching and learning
- Generative AI for assessment, feedback, and academic writing support
- Academic integrity, plagiarism, and responsible use of Generative AI in education
- Teacher readiness, digital literacy, and professional development for AI-enabled education
- Generative AI for inclusive, accessible, and student-centred learning environments
- Future directions, policies, and frameworks for integrating Generative AI in education

 Submission Method 

Submit your Full Paper or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 2 (The Role of Generative Artificial Intelligence in Education: Challenges, Opportunities, and Future Directions)

 Session Organizer 

Asst. Prof. Sadaqat Ur Rehman,
London School of Innovation, UK

Asst. Prof. Sadaqat Ur Rehman, London School of Innovation, UK
Sadaqat ur Rehman is an Adjunct Professor in Artificial Intelligence at the London School of Innovation, London, UK. He is a highly experienced AI scientist with more than 12 years of teaching and research experience in prestigious institutes. He has taught and researched at renowned institutions such as University of Aberdeen, UK, University of Salford, UK, Tsinghua University, China and ETH Zurich, Switzerland, among others. He has also served as a supervisor for several PhD, MSc, undergraduate students and one post-doc candidate, providing guidance and support for their dissertations. He has published in renowned journals, including IEEE Transactions, ACM Transactions, Elsevier, and Springer, with more than 95 research papers and over 3350 citations, achieving an H-index of 30. He has also been named among the world’s top 5% scientists in the SCI Ranking 2025. In 2021, he received the UK’s Exceptional Talent endorsement as an ‘Emerging Leader’ for his pioneering work in the field of AI. To date, he has secured research and funding grants of more than £150K as a Principal Investigator (PI) and Co-Investigator (Co-I). In recognition of his academic excellence, he was awarded a Gold Medal for his outstanding performance in his MS degree.