The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …

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 …

Computers & Education has been leading the field of computers in education for over 40
years, during which time it has developed into a well-known journal with significant …

This paper demonstrates how to use the R package stm for structural topic modeling. The
structural topic model allows researchers to flexibly estimate a topic model that includes …

Statistical models of text have become increasingly popular in statistics and computer
science as a method of exploring large document collections. Social scientists often want to …

Cutting-edge data science techniques can shed new light on fundamental questions in
educational research. We apply techniques from natural language processing (lexicons …

Abstract The Aviation Safety Reporting System includes over a million confidential reports
describing aviation safety incidents. Natural language processing techniques allow for …

Research shows that effective teaching behavior is important for students' learning and
outcomes, and scholars have developed various instruments for measuring effective …

Each day humans generate massive volumes of data in a variety of different forms (Lazer et
al., 2009). For example, digitized texts provide a rich source of political content through …

Discussion forums are the primary and most widely used venue for social learning and
communication in MOOC context. There has been an interest in the last few years to study …