The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Bulut, O., Beiting-Parrish, M., Casabianca, J. M., Slater, S. C., Jiao, H., Song, D., Ormerod, C., Fabiyi, D. G., Ivan, R., Walsh, C., Rios, O., Wilson, J., Yildirim-Erbasli, S. N., Wongvorachan, T., Liu, J. X., Tan, B., & Morilova, P. (2024). The rise of artificial intelligence in educational measurement: Opportunities and ethical challenges. Chinese/English Journal of Educational Measurement and Evaluation, 5(3), Article 3. https://doi.org/10.59863/MIQL7785
This article reviews how artificial intelligence is changing educational measurement through automated scoring, content analysis, and personalized feedback, while also examining ethical concerns related to validity, reliability, transparency, fairness, equity, automation bias, and environmental impact.
Key takeaways
- AI can support automated scoring, rapid content analysis, and personalized feedback in assessment.
- AI use in educational measurement raises concerns about bias, opacity, fairness, and equity.
- Responsible implementation depends on attention to validity, reliability, and transparency.
- The article discusses ethical and practical challenges, including automation bias and environmental impact.
- The paper points to the need for standards and guidance for responsible AI use in assessment.
Why it matters
This article situates Dr. Wilson's assessment work within a broader interdisciplinary conversation about how AI can expand measurement while also demanding stronger ethical safeguards.
Coauthors
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova
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