There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…

Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…

We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence…

Provides an overview of recent research related to the teaching of business data processing. It identifies the kind of instructional questions asked, the general types of research methodology used, and comments about the research conclusions. (CT)

Argues that a mix of quantitative and qualitative measures is most efficacious in library collection analysis. Cases drawn from the literature in which a combination of these measures was profitably applied are considered, and the types of software packages for purposes of data manipulation are discussed. (Contains 15 references.) (KRN)

A study, described in this report, was conducted to provide information to national vocational education policy makers regarding curriculum development needs for selected new and changing occupations. The report also outlines a methodology for identifying new and changing occupations and assessing the need for curriculum development. Information…