Feyzi Kaysi

Teaching Data Cleaning in Machine Learning: A Misconception-Driven Pedagogical Framework for Explainable and Ethical Data Preprocessing

This paper proposes a four-phase instructional sequence — Motivational Grounding, Mechanism Diagnosis, Algorithm-Context Mapping, Algorithm-Context Mapping, and Explainability and Ethical Reflection — operationalized through a multi-dimensional Instructor Cleaning Strategy Matrix, embedding explainability and ethical r...