Invited Speakers

 

 

 

Ramlee Mustapha
Sultan Idris Education University, Malaysia

 

Dr. Ramlee Mustapha is a Professor of Technical and Vocational Education at the Faculty of Technical and Vocational Education, Universiti Pendidikan Sultan Idris (UPSI) [the Sultan Idris Education University]. In 2010, he was appointed as the Dean for Post-Graduate Studies at UPSI. A year later, he is appointed as the Dean of the Faculty of Technical and Vocational Education at UPSI. In 2017, he was appointed as the 5th President of the Asian Academic Society for Vocational Education and Training (AASVET).
In 2022, he was as appointed as the Head of TVET and Industry Cluster in National Professor Council. He is an expert in vocational education and training and human resource development especially in the Pacific Rim and East Asian region. In 2023, Prof Dr. Ramlee Mustapha was appointed as a Member of Malaysia National TVET Council chaired by the Deputy Prime Minister.
He has written over 150 articles and 10 books in Technical-Vocational Education and Human Resource Development. Dr. Ramlee Mustapha holds a Bachelor degree in Chemical Engineering (BSChE) from University of Alabama, USA. His first Masters degree in Educational Administration (M.Ed) from Eastern New Mexico University, USA and his second Masters degree in Industrial Technology (M.Sc) from Purdue University, USA. He earned a doctoral degree in Technical and Vocational Education (Ph.D) also from Purdue University, USA. .

 

Speech Title: The Future of Learning: How AI is Transforming Education

Abstract: Artificial intelligence (AI) is rapidly transforming the world as we know it, and its impact on education is no exception. This keynote will provide an overview of the future of learning in the age of AI, the transformative potential of AI in education, as well as practical insights into how they can harness this technology to improve teaching and learning outcomes for teachers and students. From personalized learning experiences to assessment and feedback ̶ AI is revolutionizing the way teaching, learning and assessment are designed. I will also discuss about AI-powered learning platforms, adaptive assessments, and mixed-reality simulations. Specifically, the guiding questions include: (a) How can AI be used to personalize learning experiences and adapt to each student's unique needs?, (b) What are the ethical implications of using AI in education, and how can we ensure fairness and equity? (c) How can AI empower educators to become more effective and efficient in their roles?, and (d) What are the future trends in AI-driven education, and how can we prepare for them? Finally, the challenges and opportunities that AI presents for educators, policymakers, and students will be encapsulated.

 

 

Suraya Masrom, Universiti Teknologi MARA, Malaysia

 

Associate Professor Ts. Dr. Suraya Masrom leads the Machine Learning and Interactive Visualization (MaLIV) Research Group at the Perak Branch of Universiti Teknologi MARA (UiTM), MALAYSIA. She serves as the chief editor of the Mathematical Sciences and Informatics Journal published by UiTM Press and has been recognized as the recipient of the university's Best Journal Editor award in 2023. She received her Ph.D. in Information Technology and Quantitative Science from UiTM in 2015. Her professional journey began in the realm of information technology, holding a position as an Associate Network Engineer at Ramgate Systems Sdn. Bhd (a subsidiary of DRB-HICOM) in June 1996, shortly after completing her bachelor's degree in computer science from Universiti Teknologi Malaysia (UTM) in March 1996.
After achieving a master's degree in computer science from Universiti Putra Malaysia in 2001, she transitioned into an academic career, starting as a lecturer at UTM. Her path led her to the Universiti Teknologi MARA (UiTM) campus in Seri Iskandar, Perak, Malaysia, in 2004. Her commitment to excellence in education was acknowledged when she was honored with the Best Educator award as part of the University Academic Award Program in 2019.
Suraya Masrom remains a highly active researcher in the fields of meta-heuristics search approach, scripting language, machine learning, and educational technology. Her research endeavors have secured substantial funding, totaling 600K in grants, encompassing 10K in international grants, 20K in industry grants, and 900K in national grants. Over the past five years, she has authored and co-authored more than 200 indexed journal and conference papers, culminating in a noteworthy h-index of 6 in Scopus and 8 in Google Scholar from 404 citations. For those wishing to get in touch, she can be reached via email at suray078@uitm.edu.my.

 

 

 

Ying Tang, Southwest University, China

 

Dr. Ying Tang is an Associate Professor of Educational Technology at the Faculty of Education, Southwest University, China, and serves as Associate Editor for Future in Educational Research. Prior to joining Southwest University, Dr. Tang was a postdoctoral researcher at Indiana University’s School of Informatics, Computing, and Engineering, where she contributed to an NSF-funded project aimed at enhancing cybersecurity and privacy education for computing students in higher education. She holds a Ph.D. in Information and Technology Studies from the University of Hong Kong, a Master’s degree in Education from Vanderbilt University, and a Bachelor’s degree in English Language and Literature from the University of International Relations, China.
With a rich, cross-disciplinary academic background, Dr. Tang has authored over forty peer-reviewed publications, many of which have been featured in high-impact journals and conferences, including Computers & Education, Educational Research Review, British Journal of Educational Technology, and the International Journal of Educational Technology in Higher Education. Her research primarily focuses on optimizing student learning outcomes in computer-mediated environments, with an emphasis on the integration of innovative educational technologies and effective pedagogical strategies. Her work has been widely cited, with over 2,000 citations since 2020 and an h-index of 16. In her most recent research, Dr. Tang explores the ethical and moral implications of leveraging artificial intelligence and big data in education, focusing on how these technologies can be harnessed to enhance learning while ensuring fairness and responsibility.

 

 

 

Jining Han, Southwest University, China

 

Dr. Jining Han is an associate professor in the Faculty of Education at Southwest University. He earned his Ph.D. in Second Language Acquisition and Educational Technology from the University of South Florida and holds a Master’s degree in Pedagogy from Arizona State University. He also received a postdoctoral fellowship position at the Georgia Institute of Technology. He conducts research in applying AI-supported learning, virtual reality in education, and smart learning environment.