Proposed Framework for complete analysis when teaching Regression in Supervised Machine Learning

TL;DR

This paper proposes a systematic teaching framework for regression in supervised machine learning to improve understanding and bridge educational gaps among students and instructors.

Contribution

It introduces a detailed, reiterative framework for teaching regression concepts systematically in coursework, based on literature supporting such pedagogical approaches.

Findings

Framework enhances students' understanding of regression

Systematic teaching reduces educational gaps

Supports iterative learning in machine learning education

Abstract

It could be challenging for students and instructors to piece together a different regression concepts to coherently perform a complete data analysis. I propose using a framework which reinforces the detailed steps towards regression in Supervised Machine Learning, to be reiterated throughout the coursework. This is based on past literatures supporting reiterated and systematic teaching. Such could also mitigate the applicable and visible educational gap between Novices and Experts in teaching such concepts to Primary and Secondary School students.