Why AI is no substitute for human teachers
A study from the Wharton School found high school students using generative AI for math prep perform worse on exams, highlighting the need for guidance and the importance of human teachers.
Read original articleA recent study from the Wharton School indicates that high school students using generative AI (genAI) for math exam preparation perform worse on actual tests compared to those who do not use AI tools. The research involved nearly 1,000 students across three groups: one using textbooks, another using a standard genAI chatbot, and a third using a teacher-guided chatbot. While access to genAI tutors improved performance on practice problems, it led to poorer exam results, likely due to students relying on AI for answers rather than engaging with the material. Experts, including Hamsa Bastani and Kristen DiCerbo from Khan Academy, emphasize the need for careful deployment of genAI in education, suggesting that students require guidance on how to effectively use these tools. The National Council of Teachers of Mathematics also supports the idea that while AI can assist in teaching, human teachers are essential for bridging knowledge gaps. Despite the challenges, there is potential for genAI to benefit students in areas with teacher shortages, highlighting the need for a balanced approach that encourages active learning rather than dependency on technology.
- High school students using genAI for math prep perform worse on exams than those who don't.
- The study involved nearly 1,000 students and compared different learning methods.
- Experts stress the importance of guidance in using AI tools effectively.
- Human teachers are crucial for bridging knowledge gaps in education.
- GenAI may help in regions with teacher shortages, but must be used cautiously.
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