0 to 3 credits
Fall 2026 Lecture Lower Division
This course examines how human learning and cognition operate in learning contexts influenced by artificial intelligence. Drawing on research from educational psychology and the learning sciences, students explore and compare how different AI systems interact with cognition, metacognition, motivation, and learner agency. The course emphasizes critical evaluation of the opportunities, limitations, and implications of AI use, preparing students to make informed, ethically grounded judgments about how AI may influence learning, development, and human expertise.
Learning Outcomes1Understand foundational principles of human learning, cognition, motivation, and self-regulated learning to analyze how contemporary AI technologies may influence cognitive processes, metacognitive accuracy, motivation, and learner agency to develop and support decisions in learning contexts. (UCC AI Key Skill 1)
2Evaluate and compare the capabilities, strengths, and limitations of AI tools for learning by determining ways different AI systems may and may not support learning and motivational processes of understanding, effort, and ownership of learning. (UCC AI Key Skills 2, 3)
3Examine and compare how learners use contemporary AI tools, and how different uses influence learning, monitoring, and engagement. (UCC AI Key Skill 2)
4Recognize and analyze the ethical principles, trade-offs, and consequences that arise when AI is used to support learning and academic decision-making. (UCC AI Key Skill 6)
made by Purdue students.