2026.03.07 Annotated Bibliography

Annotated Bibliography 2026.03.07

Yu Borui

For the reading this week, I mainly focused on the article titled "AI Perils in Education: Exploring Ethical Concerns" written by Salloum. In this article, the author mentioned several ethical issues faced by the users of AI tools.

Marr, B. (2022). Will artificial intelligence replace teachers?

In this article, Marr stated an idea that AI will not replace teachers, but as a tool to help teachers provide a more personalized learning experience and reduce the administrative burden on teachers. Its functions such as increasing the accessibility of education could help teachers track their students' learning progress as well. Yet there can be some ethical issues.

Madaio, M., Blodgett, S. L., Mayfield, E., & Dixon-Román, E. (2022). Beyond “fairness”: Structural (in)justice lenses on AI for education. In The Ethics of Artificial Intelligence in Education (pp. 203–239). Routledge.

The research showed one of the serious problems faced by the users when applying AI in the education system. That is the AI system applied in education may duplicate or even strengthen the existing social injustice structure, because the model training data and the education system itself have historical structural inequality. This can lead to severe and negative impacts on the educational choices in different learning groups.

Michigan State University College of Education. (2021). Exploring the ethics of artificial intelligence in K-12 education.

In addition to the negative impacts mentioned above, According to this research, AI's limitations in data structure is not the only ethical problem. It has several other shortcomings. Such as the predictive analytics, many schools are currently using AI to predict the risk of students dropping out of school, their academic performance and the future learning path. Although the goal of these systems is to help students get more support, if the prediction model is biased, it may have the opposite effect. For example, some students are wrongly labeled as "low-potential students" and school resources may be given preferentially to students who are predicted to have a "high success rate". On the contrary to its designated goal, it will aggravate educational inequality. 

S. Akgun, C. Greenhow, Artificial intelligence in education: addressing ethical challenges in K-12 settings, AI Ethics, pp. 1–10 (2021)

The author believes that the application of AI in education involves not only technical issues, but also ethical and social issues, that is why teachers and students need to understand the basic principles, algorithms and social impacts of AI. Teachers should also guide students to discuss the ethical issues and social impact of AI in the classroom, and help students to critically understand technology instead of passively using it.


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