AI and the New World: New Knowledge Work Requires Changed Instruction
Posted by anne.grey
Presenter: Clarissa Littler (Computer Science Faculty)
As artificial intelligence tools advance rapidly, higher education faces a shifting landscape that requires a new approach to instruction. Rather than trying to return to traditional formats like blue books, educators must recognize that students are entering a transformed workplace. AI agents are increasingly capable of completing complex, multi-step tasks across technical and creative domains. To prepare students, instruction must focus on deep conceptual understanding, metacognitive skills, and intrinsic motivation. Faculty are encouraged to experiment with AI tools, adapt their curriculum, and collaborate closely across disciplines to navigate these changes effectively.
Presentation Outcomes
- Understand the evolving capabilities of modern AI agents and their impact on knowledge work.
- Distinguish between tasks that are appropriate for automation and those that require human learning, reflection, and creativity.
- Identify strategies for managing large volumes of information using personal knowledge management systems.
- Develop instructional approaches that encourage student experimentation, cross-disciplinary collaboration, and intrinsic motivation.
- Recognize the importance of faculty collaboration and rapid curriculum adaptation in response to technological change.
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