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Building AI Literacy: Empowering Students to Explore and Apply AI Tools
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Explore foundational concepts and modern AI
Artificial Intelligence introduces students to foundational concepts, algorithms, and modern applications of AI. Students will learn about classic topics in AI, like agents, search algorithms, constraint satisfaction problems, planning, and probability.
After building the foundation, Artificial Intelligence turns to modern AI with chapters on reinforcement learning, deep learning, computer vision, natural language processing, large language models, generative AI, and ethics. Interactive animations, learning questions, and Python demos support student learning and engagement. Challenge activities and zyLabs build on and assess students’ knowledge.
Dr. Schwab-McCoy explains the benefits of zyBooks for instructors and students:
zyBooks benefits students and instructors:
- Instructor benefits
- Customize your course by reorganizing existing content, or adding your own
- Continuous publication model updates your course with the latest content and technologies
- Gain insight into students’ progress, reading and participation with robust reporting
- Save time with auto-graded labs and challenge activities that seamlessly integrate with your LMS
- Build quizzes and exams
- Student benefits
- Learning questions and other content serve as an interactive form of reading
- Instant feedback on labs and homework
- Concepts come to life through extensive animations embedded into the interactive content
- Save chapters as PDFs to reference the material at any time
- More frequent, lower stakes assessments
Authors and contributors
Chinny Emeka
Content Author, Artificial Intelligence / PhD in Computer Science, University of Illinois at Urbana-Champaign
Pamela Fellers
Content Author, Data Science and Statistics / PhD in Statistics, University of Nebraska–Lincoln
Zoe Fox
Associate Content Author, Data Science and Statistics / BS in Mathematics and Statistics, University of British Columbia
Kate Nichols
Content Author, Computer Science / BA in Education, The University of Texas at Austin
Aimee Schwab-McCoy
Senior Manager, Content Development, Data Science, Mathematics and Statistics / PhD in Statistics, University of Nebraska–Lincoln
Dianna Spence
Content Author, Data Science and Statistics / PhD in Mathematics Education, Emory University
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