Pedagogical Recommender Systems

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One of the “rabbit holes” I’ve fallen into during my PhD studies is an interest in pedagogical recommender systems (PRS). From what I have studied so far, these became popular in the earlier 2000’s. I have read several articles where researchers developed their own PRS for faculty use. But in my own searches, I have had trouble accessing one of these. It also seems that there is plenty of research on personalized learning experiences for students but not as much that relates to how faculty make decisions about which pedagogical strategies to implement and why. I did stumble across the work of Joseph Bergin and others who developed a tool called Pedagogical patterns: Advice for educators (Bergin, et al., 2012). Folks in the computer science field have figured out how to write patterns for pedagogy to solve common learning problems. At one time, a PRS was engineered based on this book by Bergin et al., although it is no longer accessible.

Anyway, I know that Gemini or ChatGPT can recommend pedagogical strategies but I am concerned that they are not fine-tuned enough for something like teaching and learning. I would love to see a more refined PRS that incorporates research-based learning theory and pedagogical strategies for teacher use.

If you are aware of something like this, let me know!

References

Bergin, J., Chandler, J., Eckstein, J., Sharp, H., Manns, M. L., Marquardt, K., Sipos, M., & Volter, M. (Eds.). (2012). Pedagogical patterns: Advice for educators. Joseph Bergin Software Tools.

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