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Process Post 4: Human Oversight and Transparency in AI for Learning

felipemottaf

Learning Focus

Today I studied why humans must stay in control when using AI in education. AI can support learning, but it should not make final decisions on its own. My goal was to understand how teachers and students can keep AI use open, safe, and fair.

Learning Activities and Tools Used

I read a section from UNESCO (2021) that explains why AI systems must be transparent. Students should know when AI is used, what data it uses, and how it makes suggestions. The report also says that teachers need training so they can question AI results, not just accept them.

I also looked at a study by Cukurova, Luckin, and Kent (2019). They argue that AI should support human judgment, not replace it. In their case study, teachers used AI tools to understand student progress, but the teachers still made the main decisions. This showed me how AI can help without taking control.

I also reviewed part of Slade and Prinsloo’s (2013) work again. They reminded me that ethical data use depends on clear rules, open processes, and human oversight at every step.

Reflection

This week helped me see the limits of AI more clearly. AI can process data fast, but it cannot understand context. It cannot sense student stress, culture, or personal needs the way a teacher can. This is why humans must stay in charge of learning decisions.

I also learned that transparency is key. Students should know when AI is involved and how it affects their learning. Hidden systems can create fear or confusion. Open systems help build trust and allow students to ask questions.

My next step is to bring all four posts together for my final reflection. I want to show how personalized learning, privacy, bias, and oversight connect to each other.

References