Develop adaptive and discipline-specific GenAI feedback solutions¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article's forward-looking design recommendation is that future GenAI feedback tools should be adaptive and tailored to disciplines. It states that "Future developments should focus on creating adaptive and discipline-specific GenAI solutions", motivated by the observed mismatch between GenAI outputs and diverse student expectations and by students finding generic outputs redundant when feedback was already clear.

Design Implications¶

Context¶

Requirements¶

• Designers must account for diverse student needs and disciplinary differences in feedback expectations

Constraints¶

• Grounded in a single study of 18 students across four disciplinary areas

Target Learners¶

• higher education students across disciplines

Target Learning Goals¶

• effective engagement with AI-generated feedback

Related Strategies¶

• Share discipline-specific GenAI examples aligned with instructional needs to improve teacher adoption
• Tailor institutional GenAI training to teachers' prior GenAI use experience

Examples¶

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Key Sources¶

• Jin, F. J.-Y., Maheshi, B., Lai, W., Li, Y., Gasevic, D., Chen, G., Charwat, N., Chan, P. W. K., Martinez-Maldonado, R., Gašević, D., & Tsai, Y.-S. (2025). Students' Perceptions of Generative AI-Powered Learning Analytics in the Feedback Process: A Feedback Literacy Perspective. Journal of Learning Analytics, 12(1), 152-168. https://doi.org/10.18608/jla.2025.8609