Engage Students
Critiquing AI Output
This video offers a demonstration on how to guide students in critiquing AI’s output. By critiquing an output generated by AI, students can see for themselves what AI can do and cannot do and develop metacognitive skills to critically evaluate AI-generated content. When doing so, students engage in higher cognitive processes like applying and analyzing. They identify biases and inconsistencies in the AI-generated output and make judgments about the quality, credibility, and relevance of it. Instructors can make space in class for students to practice these important skills and discuss afterward. The sample prompt used in the video is provided below, and can be adapted for each course context.
Prompt: Write a five-sentence summary of the following text. Be sure to highlight the main point of the article.
Text to summarize: [insert text of your choice]
Follow along with the CTL’s discussion using the transcript.
Want to learn more?
The Center for Teaching and Learning team occasionally hosts events on using AI to teach critical thinking.
Engage Students
Browse ways that AI can deepen student engagement and critical thinking skills.
Interested in using AI to engage students?
We invite Columbia University faculty and graduate students to connect with the Center for Teaching and Learning (CTL) team to discuss how AI can be used to enhance student learning. Schedule an in-person consultation with our team, visit our open Office Hours, or log in for our virtual chats to explore which approaches align with your teaching goals and how to implement them effectively.