The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking

TL;DR

This paper explores how intentionally using AI errors in education can promote critical thinking and higher-order cognitive skills, transforming AI limitations into pedagogical opportunities.

Contribution

It introduces a design-oriented approach leveraging AI mistakes in a database course to foster higher-order thinking and assesses its impact through mixed methods.

Findings

AI errors stimulate critical analysis and reflection.

Structured AI interactions enhance metacognitive skills.

Students perceive increased AI literacy and subject mastery.

Abstract

As generative AI becomes increasingly integrated into higher education, its frequent errors and hallucinations, often seen as limitations, offer a unique pedagogical opportunity. By framing AI as a ``learning companion'' whose imperfect outputs prompt analysis, evaluation, and reflection, we argue that instructors can engage students in the fundamental processes of higher-order thinking. This paper presents a design-oriented study in which an AI-integrated syllabus in a \textit{database design} course deliberately leverages AI's limitations to foster critical thinking and higher-order cognitive skills aligned with Bloom's taxonomy of learning. Using a mixed-methods approach, we examine how structured interaction with AI-generated errors supports metacognitive engagement, reinforces disciplinary rigor, and relates to students' perceived AI literacy and subject-matter competency.