Prof. Ramlee Bin MustaphaUniversiti Pendidikan Sultan Idris (UPSI), Malaysia Brief Introduction: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 TVET Education: Introducing TVET-AI Model for Fun Learning and Engaging Abstract: Technical and vocational education and training (TVET) plays a vital role in preparing individuals for the workforce and empowering them with the relevant skills they need to succeed in a rapidly changing world. Artificial intelligence (AI) offers a powerful set of tools and technologies that can help make TVET education more fun, engaging, and effective. Artificial intelligence (AI) is rapidly transforming the world as we know it, and its impact on education is no exception. This presentation will provide an overview of the future of TVET learning in the age of AI, the transformative potential of AI in TVET training, as well as practical insights into how they can harness AI technology to improve teaching and learning outcomes for TVET 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 in TVET learning platforms, adaptive assessments, and mixed-reality simulations. Specifically, the guiding questions include: (a) How can AI be used to personalize TVET learning experiences and adapt to each student's unique needs?, (b) What are the ethical implications of using AI in TVET, and how can we ensure fairness and equity? (c) How can AI empower TVET educators to become more effective and efficient in their roles?, and (d) What are the future trends in AI-driven TVET, and how can we prepare for them? Finally, the challenges and opportunities that AI presents for TVET educators, policymakers, and students will be encapsulated. |
Assoc. Prof. Riady Siswoyo JoSunway University, Malaysia (IEEE Senior Member)Research Area: Engineering Education, Robotic, automation, control systems, Internet-of-things applications, AI applications in robotics, Small-scale energy harvesting, Numerical solutions for non-linear pdes. Experience: Associate Professor Ir Dr Riady Jo is an experienced engineering educator and a robotic and mechatronic engineer by training. He is a Senior Member of IEEE (USA), Chartered Professional Engineer, APEC Engineer and International Professional Engineer of Engineers Australia, as well as a Professional Engineer of the Board of Engineers Malaysia. He is also an HRDF Certified Trainer. Dr Riady has won several innovation awards and is an inventor of two Malaysian Patents. His research interests include engineering education, robotics, automation, control systems, Internet-of-Things (IoT) applications, AI applications in robotics, small-scale energy harvesting and numerical solutions for non-linear PDEs. |