Data Science and Incidental Vocabulary Learning

Abstract

<p>Chapter 7 provides a characterization of data science approaches to incidental vocabulary learning. It begins with an overview of data science generally, and its methodological value to incidental vocabulary learning research. Chapter 7 provides an illustrative review of several recent studies of incidental vocabulary learning that utilize data science and discusses some critical issues in data science projects, such as the underlying data, data handling, modelling parameters, and types of outcomes. The chapter focuses on natural language processing data science, as this has been most relevant in incidental vocabulary learning research. It provides some methodological guidance on data science research designs, including an example future study. The chapter argues for the value and increased use of data science in incidental learning research to inform decision making, see what is and is not possible, and to test hypotheses in lieu of, or in support of, intervention studies.<br></p>