The Imperfect Tutor: Grading, Feedback and AI

Full Article
The Imperfect Tutor: Grading, Feedback and AI

Using AI for grading and feedback in education has proven to be more time-consuming and problematic than beneficial. Many educators express concerns that reliance on AI could undermine the integrity of the educational system. The article discusses various professors' attempts to ethically integrate AI into their grading processes while highlighting the complexities involved.

The findings suggest that AI-generated feedback often lacks the nuance necessary for meaningful student evaluation. While some educators believe AI can streamline grading by focusing on structural elements, the reality is that it can lead to generic and unhelpful responses. This raises questions about the effectiveness of AI in fostering genuine learning and critical thinking.

• AI feedback often lacks depth and can be generic.

• Using AI for grading complicates the feedback process for educators.

Key AI Terms Mentioned in this Article

Generative AI

The article discusses how generative AI is being used by educators to provide feedback on student writing.

Feedback

The article highlights the challenges of obtaining meaningful feedback through AI tools.

Rubrics

The article mentions how professors use rubrics to separate different aspects of writing, which AI attempts to assess.

Companies Mentioned in this Article

University of Southern California

The university's Center for Generative AI and Society is mentioned as a place where research on AI's impact on education is conducted.

ClaudeAI

The article discusses its use in evaluating student papers and the limitations encountered.

ChatGPT

The article references its application in providing feedback on student writing.

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