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Peer reviewedIshrat Ahmed; Paul Alvarado; Siddharth Jain; Tracy Arner; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
The rapid evolution of artificial intelligence (AI) has created an unprecedented opportunity for innovation across industries, but its complexity often presents a steep learning curve for many (Roberts & Candi, 2024; Gunner, 2025). This highlights the need for user-friendly tools that bridge the gap between AI's potential and its practical…
Descriptors: State Universities, Artificial Intelligence, Usability, Innovation
Brendan Bertone; Paul Wagner; Joshua Pauli – Journal of Cybersecurity Education, Research and Practice, 2025
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entrylevel cybersecurity hires. This paper argues that clinic-based experiential learning offers a scalable solution to that preparation gap. A…
Descriptors: Computer Science Education, Computer Security, Experiential Learning, Conventional Instruction
Yuli Deng – ProQuest LLC, 2021
Personalized learning is gaining popularity in online computer science education due to its characteristics of pacing the learning progress and adapting the instructional approach to each individual learner from a diverse background. Among various instructional methods in computer science education, hands-on labs have unique requirements of…
Descriptors: Individualized Instruction, Experiential Learning, Computer Science Education, Electronic Learning

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