Abstract:
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer...Show MoreMetadata
Abstract:
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to motivate the students for exploring AI/ machine learning (ML) development in the context of real-world cybersecurity scenarios by constructing learning models with tangible objects and 2) a proactive education paradigm designed with the use of collaborative learning activities based on game-based learning and social constructivism. Background: Increasing evidence shows that AI techniques can be manipulated, evaded, and misled, which can result in new and profound security implications. There is an education and training gap to foster a qualified cyber-workforce that understands the usefulness, limitations, and best practices of AI technologies in the cybersecurity domain. Efforts have been made to incorporate a comprehensive curriculum to meet the demand. There still remain essential challenges for effectively educating students on the interaction of AI and cybersecurity. Intended Outcomes: A novel proactive and collaborative learning paradigm is proposed to educate and train a qualified cyber-workforce in this new era where security breaches, privacy violations, and AI have become commonplace. Application Design: The development of this learning paradigm is grounded in the pedagogical approaches of technology-mediated learning and social constructivism. Findings: Although the research work is still ongoing, the prototype learning paradigm has shown encouraging results in promoting the learners’ engagement in applied AI learning.
Published in: IEEE Transactions on Education ( Volume: 67, Issue: 3, June 2024)
Funding Agency:
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Jin Wei-Kocsis (Member, IEEE) received the B.E. degree in electronic information engineering from Beihang University, Beijing, China, in 2004, the M.S. degree in electrical engineering from the University of Hawaii at Manoa, Honolulu, HI, USA, in 2008, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2014.
She is currently an Associate Professor with the De...Show More
Jin Wei-Kocsis (Member, IEEE) received the B.E. degree in electronic information engineering from Beihang University, Beijing, China, in 2004, the M.S. degree in electrical engineering from the University of Hawaii at Manoa, Honolulu, HI, USA, in 2008, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2014.
She is currently an Associate Professor with the De...View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Moein Sabounchi received the B.Sc. degree in electrical engineering from Razi University, Kermanshah, Iran, in 2011, and the M.Sc. degree in electrical engineering from the Ferdowsi university of Mashhad, Mashhad, Iran, in 2014. He is currently pursuing the Ph.D. degree with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA.
His current research interests include the utilizat...Show More
Moein Sabounchi received the B.Sc. degree in electrical engineering from Razi University, Kermanshah, Iran, in 2011, and the M.Sc. degree in electrical engineering from the Ferdowsi university of Mashhad, Mashhad, Iran, in 2014. He is currently pursuing the Ph.D. degree with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA.
His current research interests include the utilizat...View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Blue Wave AI Labs, West Lafayette, IN, USA
Gihan J. Mendis received the B.Sc. Eng. degree (Hons.) in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2012, the M.Sc. degree in electrical engineering from the University of Akron, Akron, OH, USA, in 2016, and the Ph.D. degree in technology from Purdue University, West Lafayette, IN, USA, in 2023.
He currently works as a Senior AI Engineer with Blue Wave AI Labs, W...Show More
Gihan J. Mendis received the B.Sc. Eng. degree (Hons.) in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2012, the M.Sc. degree in electrical engineering from the University of Akron, Akron, OH, USA, in 2016, and the Ph.D. degree in technology from Purdue University, West Lafayette, IN, USA, in 2023.
He currently works as a Senior AI Engineer with Blue Wave AI Labs, W...View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Praveen Fernando received the B.Sc. degree in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2017. He is currently pursuing the Ph.D. degree in technology with Purdue University, West Lafayette, IN, USA.
His research interests include applied AI in wireless communications.
Praveen Fernando received the B.Sc. degree in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2017. He is currently pursuing the Ph.D. degree in technology with Purdue University, West Lafayette, IN, USA.
His research interests include applied AI in wireless communications.View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Baijian Yang (Member, IEEE) received the B.S. and M.S. degrees in automation (EECS) from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in computer science from Michigan State University, East Lansing, MI, USA, in 2002.
He is currently a Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. In addition to his rich academi...Show More
Baijian Yang (Member, IEEE) received the B.S. and M.S. degrees in automation (EECS) from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in computer science from Michigan State University, East Lansing, MI, USA, in 2002.
He is currently a Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. In addition to his rich academi...View more
Department of Statistics, Purdue University, West Lafayette, IN, USA
Tonglin Zhang received the B.S. degree in mathematics from and the M.S. degree in statistics from Peking University, Beijing, China, in 1991 and 1994, respectively, the Ph.D. (Pre-Candidate) degree in mathematics from the University of Minnesota, Minneapolis, MN, USA, in 1998, and the Ph.D. degree in statistics from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA in 2002.
He is an Associate Professor of Statist...Show More
Tonglin Zhang received the B.S. degree in mathematics from and the M.S. degree in statistics from Peking University, Beijing, China, in 1991 and 1994, respectively, the Ph.D. (Pre-Candidate) degree in mathematics from the University of Minnesota, Minneapolis, MN, USA, in 1998, and the Ph.D. degree in statistics from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA in 2002.
He is an Associate Professor of Statist...View more
Contents Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Jin Wei-Kocsis (Member, IEEE) received the B.E. degree in electronic information engineering from Beihang University, Beijing, China, in 2004, the M.S. degree in electrical engineering from the University of Hawaii at Manoa, Honolulu, HI, USA, in 2008, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2014.
She is currently an Associate Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. Her research interests include applied AI education, deep learning, security and privacy for cyber–physical–social systems, and wireless communications.
Dr. Wei-Kocsis’s accomplishments have been recognized through the NSF Awards, the NASA Early Career Faculty Award, the Homeland Security National Training Program/Continuing Training Grant, and Transportation Research Board Grants.
Jin Wei-Kocsis (Member, IEEE) received the B.E. degree in electronic information engineering from Beihang University, Beijing, China, in 2004, the M.S. degree in electrical engineering from the University of Hawaii at Manoa, Honolulu, HI, USA, in 2008, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2014.
She is currently an Associate Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. Her research interests include applied AI education, deep learning, security and privacy for cyber–physical–social systems, and wireless communications.
Dr. Wei-Kocsis’s accomplishments have been recognized through the NSF Awards, the NASA Early Career Faculty Award, the Homeland Security National Training Program/Continuing Training Grant, and Transportation Research Board Grants.View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Moein Sabounchi received the B.Sc. degree in electrical engineering from Razi University, Kermanshah, Iran, in 2011, and the M.Sc. degree in electrical engineering from the Ferdowsi university of Mashhad, Mashhad, Iran, in 2014. He is currently pursuing the Ph.D. degree with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA.
His current research interests include the utilization of data-driven technologies in engineering and education.
Moein Sabounchi received the B.Sc. degree in electrical engineering from Razi University, Kermanshah, Iran, in 2011, and the M.Sc. degree in electrical engineering from the Ferdowsi university of Mashhad, Mashhad, Iran, in 2014. He is currently pursuing the Ph.D. degree with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA.
His current research interests include the utilization of data-driven technologies in engineering and education.View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Blue Wave AI Labs, West Lafayette, IN, USA
Gihan J. Mendis received the B.Sc. Eng. degree (Hons.) in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2012, the M.Sc. degree in electrical engineering from the University of Akron, Akron, OH, USA, in 2016, and the Ph.D. degree in technology from Purdue University, West Lafayette, IN, USA, in 2023.
He currently works as a Senior AI Engineer with Blue Wave AI Labs, West Lafayette. His research interests include data-driven decision making for cyber–physical system (CPS), deep learning for CPS security, decentralized deep learning, encrypted deep learning, and deep learning algorithms.
Gihan J. Mendis received the B.Sc. Eng. degree (Hons.) in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2012, the M.Sc. degree in electrical engineering from the University of Akron, Akron, OH, USA, in 2016, and the Ph.D. degree in technology from Purdue University, West Lafayette, IN, USA, in 2023.
He currently works as a Senior AI Engineer with Blue Wave AI Labs, West Lafayette. His research interests include data-driven decision making for cyber–physical system (CPS), deep learning for CPS security, decentralized deep learning, encrypted deep learning, and deep learning algorithms.View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Praveen Fernando received the B.Sc. degree in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2017. He is currently pursuing the Ph.D. degree in technology with Purdue University, West Lafayette, IN, USA.
His research interests include applied AI in wireless communications.
Praveen Fernando received the B.Sc. degree in electronics and telecommunication engineering from the University of Moratuwa, Moratuwa, Sri Lanka, in 2017. He is currently pursuing the Ph.D. degree in technology with Purdue University, West Lafayette, IN, USA.
His research interests include applied AI in wireless communications.View more
Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Baijian Yang (Member, IEEE) received the B.S. and M.S. degrees in automation (EECS) from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in computer science from Michigan State University, East Lansing, MI, USA, in 2002.
He is currently a Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. In addition to his rich academic background, he holds several industry certifications, such as CISSP, MCSE, and Six Sigma Black Belt and has published two books on Windows Phone Programming. His research interests include cybersecurity, data-driven security analytics, and applied machine learning.
Prof. Yang served as a Steering Committee Member of IEEE Cybersecurity Initiative from 2015 to 2017, and he served as a Board Director of ATMAE from 2014 to 2016.
Baijian Yang (Member, IEEE) received the B.S. and M.S. degrees in automation (EECS) from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in computer science from Michigan State University, East Lansing, MI, USA, in 2002.
He is currently a Professor with the Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA. In addition to his rich academic background, he holds several industry certifications, such as CISSP, MCSE, and Six Sigma Black Belt and has published two books on Windows Phone Programming. His research interests include cybersecurity, data-driven security analytics, and applied machine learning.
Prof. Yang served as a Steering Committee Member of IEEE Cybersecurity Initiative from 2015 to 2017, and he served as a Board Director of ATMAE from 2014 to 2016.View more
Department of Statistics, Purdue University, West Lafayette, IN, USA
Tonglin Zhang received the B.S. degree in mathematics from and the M.S. degree in statistics from Peking University, Beijing, China, in 1991 and 1994, respectively, the Ph.D. (Pre-Candidate) degree in mathematics from the University of Minnesota, Minneapolis, MN, USA, in 1998, and the Ph.D. degree in statistics from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA in 2002.
He is an Associate Professor of Statistics with Purdue University, West Lafayette, IN, USA. He has published almost 100 research articles in decent journals and reputational conferences of statistics and computer science. His role in the project is the development of AI/ML theories and computational methods for Cybersecurity Education models to help students with diverse backgrounds of the learners. He has extensive research and teaching experience in developing collaborative and explainable AI. His research interests include AI/ML, big data, spatial statistics, mathematical statistics, high-dimensional data, and variable selection. His research covers both theories and applications.
Tonglin Zhang received the B.S. degree in mathematics from and the M.S. degree in statistics from Peking University, Beijing, China, in 1991 and 1994, respectively, the Ph.D. (Pre-Candidate) degree in mathematics from the University of Minnesota, Minneapolis, MN, USA, in 1998, and the Ph.D. degree in statistics from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA in 2002.
He is an Associate Professor of Statistics with Purdue University, West Lafayette, IN, USA. He has published almost 100 research articles in decent journals and reputational conferences of statistics and computer science. His role in the project is the development of AI/ML theories and computational methods for Cybersecurity Education models to help students with diverse backgrounds of the learners. He has extensive research and teaching experience in developing collaborative and explainable AI. His research interests include AI/ML, big data, spatial statistics, mathematical statistics, high-dimensional data, and variable selection. His research covers both theories and applications.View more
