I was unfamiliar with Bayesian learning/Bayesian interference before reading this article. I looked it up and found a helpful tool here: https://seeing-theory.brown.edu/bayesian-inference/index.html. Much of the information I read to familiarize myself with the topic referred to it in the context of machine learning. I can see how the idea of "how one should update one’s beliefs upon observing data" can apply to student learning, especially for young kids. Kunin, D., Guo, J., Dae Devlin, T., & Ziang, D. (n.d.). Bayesian inference. Seeing Theory. https://seeing-theory.brown.edu/bayesian-inference/index.html