Document Type
White Paper
Publication Date
2024
Pages
1-10
Abstract
This is a white paper on Workforce Development for Quantum Information Sciences (QIS) led by the Center for Real-Time Computing at Old Dominion University (ODU). We plan to investigate the potential of video lectures in supporting QIS. Specifically, we focus on following four objectives: (a) design a two-course series for both Master-level and PhD students; b) an upgrade of Experimental Lecture System (ELeSy) to test new, innovative, and transformative approaches for inclusive QIS education; c) design and implementation of a mixed-method systematic empirical study on the effects of video learning styles (in-person flipped classroom and voluntary video use) on graduate students’ QIS studies, and d) integration of the empirical results and requirements and development of a framework with practical (e.g., best practices) and technical (e.g., systems’ design guidelines) knowledge, addressing how instructors and developers can increase video lecture benefits by incorporating AI-based learning tools. The contributions of our white paper are a) methodology for the evaluation of a novel experimental video analytics system, b) the systematic empirical evaluation of video lectures as a learning technology for QIS, and c) motivating the discussion on how instructors and developers can increase video lecture benefits. The project results (over the next three to five years) will be shared with the broader community and participants.
Rights
© 2024 The authors.
Original Publication Citation
Chrisochoides, N., Diawara, N., & Giannakos, M. (2024). Developing a framework for personalized video-based quantum information science education [White paper]. Old Dominion University College of Computer Sciences.
Repository Citation
Chrisochoides, N., Diawara, N., & Giannakos, M. (2024). Developing a framework for personalized video-based quantum information science education [White paper]. Old Dominion University College of Computer Sciences.
ORCID
0000-0003-3088-0187 (Chrisochoides), 0000-0002-8403-6793 (Diawara), 0000-0002-8016-6208 (Giannakos)
Included in
Artificial Intelligence and Robotics Commons, Higher Education Commons, Online and Distance Education Commons
Comments
This is a white paper, presented at The Third Annual Quantum Science and Engineering Education Conference QSEEC24, 15-16 September 2024, Montréal, Québec, Canada.