Teaching Machine Learning in K-12 Education
Ismaila Temitayo Sanusi · 2021
This research is interested in how to teach machine learning concepts to K-12 learners. There is limited evidence to support the teaching, learning, and usefulness of machine learning in K-12 settings, hence addressing the evident gap. This research aims to specifically identify pedagogical approaches with the underlying theories and methods in teaching K-12 machine learning as well as design, assess, and determine the impact of machine learning on student outcomes in K-12.