Handbook of Learning Analytics

Chapter 3

Predictive Modelling in Teaching and Learning

Christopher Brooks & Craig Thompson


This chapter describes the process, practice, and challenges of using predictive modelling in teaching and learning. In both the fields of Educational Data Mining (EDM) and Learning Analytics (LAK) predictive modelling has become a core practice of researchers, largely with a focus on predicting student success as operationalized by academic achievement. In this paper we aim to provide a general overview of considerations when performing and applying predictive modelling, the steps which an educational data scientist must consider when engaging in the process, and a brief overview of the most popular techniques in the field.

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