The main objective of authentic learning is to offer students an exciting and stimulating educational setting that provides practical experiences in tackling real-world security issues. Each educational theme is composed of pre-lab, lab, and post-lab activities. Through the application of authentic learning, we create and produce portable lab equipment for AI Security and Privacy on Google CoLab. This enables students to access and practice these hands-on labs conveniently and without the need for time-consuming installations and configurations. As a result, students can concentrate more on learning concepts and gain more experience in hands-on problem-solving abilities.
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This content will become publicly available on June 1, 2024
Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy
The main objective of authentic learning is to offer students an exciting and stimulating educational setting that provides practical experiences in tackling real-world security issues. Each educational theme is composed of pre-lab, lab, and post-lab activities. Through the application of authentic learning, we create and produce portable lab equipment for AI Security and Privacy on Google CoLab. This enables students to access and practice these hands-on labs conveniently and without the need for time-consuming installations and configurations. As a result, students can concentrate more on learning concepts and gain more experience in hands-on problem-solving abilities
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- NSF-PAR ID:
- 10442522
- Date Published:
- Journal Name:
- 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
- Page Range / eLocation ID:
- 1010 to 1012
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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