University Professor Advocates for Embracing AI in Education
An engineering professor at the University of Michigan suggests shifting from fighting AI in the classroom to integrating it as a tool for active learning and expertise amplification.
Jason Corso, an engineering professor at the University of Michigan, argues that educators should move beyond fearing artificial intelligence and instead integrate it into their teaching methods. He believes the future job market will favor experts who can leverage AI to significantly enhance their output, rather than being dominated by autonomous AI itself.
Corso advocates for a pedagogical shift that addresses declining traditional lecture attendance, a trend exacerbated since the pandemic. He points to active learning as a proven method to improve both student turnout and long-term retention, noting that his own courses have seen increased attendance after evolving to embrace this approach.
Flipping the Classroom Model
To combat passive learning in technical courses, Corso has implemented a flipped classroom model. This involves assigning recorded video lectures and related articles for students to engage with at home, using platforms like Perusall. This AI-enabled tool encourages active participation through comments and questions, allowing instructors to monitor student engagement before in-person sessions. The system can flag duplicated comments, and Corso anticipates it will soon identify AI-generated content.
During class time, a smaller portion is dedicated to live lectures, often featuring industry guests. The majority of in-person time is now spent on small breakout sessions, large group discussions, and in-person quizzes. Students grade their own quizzes and must articulate the reasoning behind their answers, fostering a deeper understanding.
Corso plans to further evolve his teaching by having students debate technical papers, requiring them to spontaneously argue one side of a research argument. This approach, he states, reclaims classroom time for high-stakes human interaction that AI cannot replicate.
Leveraging AI as a Tutor
Corso emphasizes that AI should not be viewed as a shortcut for learning but as an expertise amplifier. For novices, he cautions against relying on AI before mastering fundamental concepts, as this can lead to a lack of depth. He encourages students to use AI as a sophisticated, one-on-one tutor to facilitate active learning and refine their expertise through an iterative process of trial and error.
Best practices he shares include a "Mastery-First Workflow," where students solve problems manually before using AI to check their work and analyze discrepancies. AI can also serve as a "Problem-Generator" for constant testing and active learning. Corso advises against asking AI to write from scratch, instead suggesting students provide a "brain dump" of ideas and structure, which AI can then organize before the student meticulously refines the output.
Redefining Academic Integrity
Corso states he does not see himself as an "AI police officer" and believes educators should focus on setting boundaries for AI use rather than policing student work. He advocates for treating AI with the same proactive mastery as any other essential modern tool. By shifting the focus to spontaneous human interaction and using AI to support active learning, educators can ensure knowledge resides with the student, not just within the AI model.