A writing professor’s new task in the age of AI: Teaching students when to struggle

2026-03-16 · Source: Artificial intelligence (AI) – The Conversation · Field: Education & Learning — Educational Technology (EdTech), Academic Research & Higher Education, Educational Psychology & Learning Sciences · Depth: Intermediate, short

Summary

A professor of writing details her evolving approach to generative AI in higher education, moving from initial experimentation in spring 2023 to a more nuanced, guided stance by late 2024. Early assignments, like fact-checking AI-generated artist biographies, revealed AI's propensity for "lies," particularly with less popular subjects. By fall 2023, the professor introduced a "Be Better Than a Robot" section in research proposals, encouraging primary research and human thinking, while discouraging but not banning AI use. She highlights concerns about student overreliance, loss of learning, and "metacognitive laziness" observed in studies, where short-term essay score improvements did not translate to knowledge gains. The article emphasizes the importance of teaching discernment and fostering students' trust in their own thinking processes before integrating AI tools.

Key takeaway

For educators navigating generative AI in writing and research courses, prioritize teaching students to understand their own thinking capabilities before relying on AI. Implement assignments that require both AI-free work and comparative analysis of AI-generated content, prompting students to justify their choices. This approach helps develop the critical discernment needed to strategically use AI without undermining foundational learning and intellectual struggle.

Key insights

Effective AI integration in education requires fostering critical thinking and discernment, not just tool usage.

Principles

• Learning environments dictate tool efficacy.
• Human thinking precedes AI discernment.
• Uncertainty is part of critical engagement.

Method

Encourage students to draft with and without AI, compare versions, and justify choices. Focus on primary research and deep engagement to counter "cognitive offloading" and "metacognitive laziness."

In practice

• Implement "Be Better Than a Robot" sections.
• Require explicit AI usage descriptions.
• Assign AI-free writing exercises.

Topics

• Generative AI in Education
• Critical Thinking
• Cognitive Offloading
• Academic Integrity
• AI Literacy

Best for: AI Ethicist, Policy Maker, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.