Tools for Educational Data Mining

Abstract

In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will highlight the utility that these tools have with respect to common data preprocessing and analysis steps in a typical research project as well as more descriptive information such as price point and user-friendliness. We will also highlight niche tools in the field, such as those used for Bayesian knowledge tracing (BKT), data visualization, text analysis, and social network analysis. Finally, we will discuss the importance of familiarizing oneself with multiple tools—a data analysis toolbox—for the practice of EDM/LA research.

Big Data and data science: A critical review of issues for educational research

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Doctoral Education in Quantitative Research Methods: Some Thoughts about Preparing Future Scholars

“…The automation of statistical analysis is currently feasible [38,39]. Unsurprisingly, these implementations are either commercial or exist only in Python language code form, which is inaccessible to the content-domain expert who may be considerably weaker in statistics or coding.…”

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“…Most commercial software products, including Data mining and Process mining, are easy to use. Approximately 40 software products, often used in Data mining in the field of education are given in [6].…”