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“A lot of AI tools in education are designed to make things more efficient,” he said. “Caisey capitalizes on precisely the opposite: the capacity to slow students down, to actually make them focus and to also make them consider very different ways of thinking about questions.”
Dan Wang, a professor at Columbia Business School, observed a shift in his fall 2022 class where students increasingly used ChatGPT to summarize case studies, hindering genuine class discussions. In response, he developed Caisey, an artificial intelligence application designed to encourage deeper engagement rather than efficiency. Caisey functions by having students interact with it at home, debating business decisions and arguments before class, thus slowing down their thought process and making them consider diverse perspectives, a method reminiscent of the ancient Oxbridge tutorship model. This tool aims to cultivate critical thinking and rhetorical skills by demanding active intellectual participation.
While many educators express concern about generative AI's potential to diminish students' critical thinking and lead to superficial learning, a growing number of faculty are actively developing bespoke AI tools to enhance the educational experience. These specialized applications are not designed to provide quick answers but to guide students through complex problem-solving. Examples include a Georgia Institute of Technology app assisting electrical engineering students with intricate problems and Arizona State University's AI tools for health care simulations, foreign language practice, and advanced biology studies, highlighting a strategic shift towards AI-powered learning that fosters genuine understanding.
Caisey provides a highly interactive and personalized learning experience. When a student initiates a session, a human-like voice introduces a case study, such as whether Netflix should prioritize original content or licensed shows, then prompts for an initial argument. Caisey then engages in a polite, fact-based point-counterpoint debate, challenging the student's reasoning and offering alternative perspectives. Following the discussion, Caisey provides feedback on how the student could strengthen their argument. Professor Wang receives detailed transcripts and summaries of these AI-led discussions, which not only prepare students like Alexa Caban for more confident and articulate classroom participation but also inform his teaching strategies.
Recognizing that students often struggled with challenging electrical engineering homework late at night, Professor Ying Zhang at Georgia Tech created the Smart Tutor. This AI-powered tool offers round-the-clock guidance, helping students navigate complex circuit analysis problems step-by-step without simply handing out answers. Students, including sophomore Eli Stodghill, found it immensely helpful for identifying and correcting mistakes, leading to a more robust understanding of the material and better exam preparation. The Smart Tutor incorporates "guardrails" to prevent cognitive off-loading, ensuring active learning and helping students maintain cognitive sharpness, a crucial distinction from general-purpose commercial LLMs that often provide inaccurate or superficial solutions.