IN-PERSON: Learning. Life. Work
Abstract
The shift towards online asynchronous learning has created the need for empowering students to become self-motivated learners. In this setting, where absorbing ever increasing available material and knowledge formation needs to happen rapidly, creating a self-motivated learning platform is essential for learner lifelong growth. This research outlines strategies to foster motivation and self-directedness in students and proposes some best practices for a learning framework that empowers and encourages learners to self-direct and optimize their individualized learning habits. By embracing this framework, learners can embark on a transformative journey of self-motivated learning, unlocking their full potential and navigating the ever-changing landscape of technology and knowledge with confidence and agility. This goal-oriented design includes understanding the importance and the value of learning, resource optimization, creating personalized learning paths, opportunities for reflection, creative problem solving, curiosity encouragement, and interaction improvement. Peer collaboration supporting continuous feedback mechanisms are encouraged. Using the latest technologies, this study investigates and includes the power of Data Analytics and Artificial Intelligence (AI) platforms to propose a technology enriched learning framework that includes the latest data on ‘AI effect in academia.’ This will empower students to navigate the ever-evolving learning landscape with confidence and competence. This framework will also help the students to meet the current technology enriched workforce requirements in the industry. By implementing these features in an online learning platform, educational institutions can cultivate a culture of self-motivated learning, empowering students to take ownership of their education, pursue lifelong learning, and succeed in the current digital age.
Dr. Bhaskar Sinha is a Professor in the School of Technology and Engineering at National University in San Diego, California. Dr. Sinha earned his Ph.D. in Electrical Engineering from University of California, Davis, California, M.B.A. from California State University, Hayward, California, M.Sc. in Electrical Engineering from University of Waterloo, Ontario, Canada, and his B.Tech. in Electrical Engineering from the Indian Institute of Technology (IIT), Kanpur, India. He has over forty years of experience working in industry and academia.
Dr. Pradip Peter Dey has more than 20 years of experience in Computer Science research and education. His teaching and professional experience emphasizes mathematical modeling, Artificial Intelligence, knowledge representation, and workforce development. He often collaborates with his colleagues for research opportunities in rapid acquisition of marketable skills. He has done an M.S.E. in Computer and Information Science and an interdisciplinary Ph.D. from the University of Pennsylvania.
Dr. Mohammad Amin received his Ph.D. and M.S. degrees in Electrical Engineering and Computer Engineering, and in Solid State Physics from Marquette University, Milwaukee, Wisconsin. Currently, he is working as a Professor of Engineering at National University, San Diego, California. Before joining NU, he worked for many organizations including GE, NJE, Marquette University, University of Notre Dame, College of Technology-Makkah, Waukesha County Technical College, University of Wisconsin Center-Sheboygan, etc. He has published and presented more than 100 articles and papers, 3 US patents, and edited 9 books/proceedings.
2:00 pm - 3:30 pm
Monday 10th June, 2024