TY - CHAP TI - Predictive Modelling in Teaching and Learning AU - Brooks, Christopher AU - Thompson, Craig T2 - The Handbook of Learning Analytics A2 - Lang, Charles A2 - Siemens, George A2 - Wise, Alyssa Friend A2 - GaĊĦevic, Dragan AB - This article describes the process, practice, and challenges of using predictive modelling in teaching and learning. In both the elds of educational data mining (EDM) and learning analytics (LA) predictive modelling has become a core practice of researchers, largely with a focus on predicting student success as operationalized by academic achievement. In this chapter, we provide a general overview of considerations when using predictive modelling, the steps that an educational data scientist must consider when engaging in the process, and a brief overview of the most popular techniques in the eld. CY - Alberta, Canada DA - 2017/// PY - 2017 ET - 1 SP - 61 EP - 68 PB - Society for Learning Analytics Research (SoLAR) SN - 978-0-9952408-0-3 UR - http://solaresearch.org/hla-17/hla17-chapter1 ER -