The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…

Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM…

Over the decades, it is evident that exceptional learners have been excluded from participating in international assessments such as OECD's PISA (Programme for International Student Assessment) due to their disabilities. Drawing on the interdisciplinary theories and perspectives of educational assessment, measurement, and early childhood special…

Abstract: This study evaluated whether or not teachers of students with severe disabilities reported implementing specific data-based decision guidelines to make instructional decisions (Browder, Liberty, Heller, & D'Huyvetters, 1986; Browder, Demchak, Heller, & King, 1989) following completion of their teacher preparation program. A…

The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…

Pigments, dyes, and transition-metal compounds are made in courses across the undergraduate chemistry curriculum, but student characterization of these compounds' most striking features, their colors, seldom goes beyond verbal descriptions. Affordable, hand-held, fiber-optic reflectance spectrophotometers make it possible to advance students'…

In this new Policy Note, Rachel Hewitt, HEPI's Director of Policy and Advocacy, highlights the need to distinguish between mental health and well-being and calls for more comprehensive data to be made available on the well-being of all those work and study at universities. Key points: (1) The conflation of mental health and well-being is not…

This report covers Commonwealth and state/territory government-funded training (Commonwealth or state recurrent funding, Commonwealth specific purpose funding or state specific funding). This publication provides a summary of data relating to estimated students, programs, subjects and training providers in Australia's government-funded vocational…

Conducting valid and reliable empirical research in the prevention sciences is an inherently difficult and challenging task. Chief among these is the need to obtain numerical scores of underlying theoretical constructs for use in subsequent analysis. This challenge is further exacerbated by the increasingly common need to consider multiple…

As many sciences move to be more data-intensive, some science librarians are offering more research data services and perform research data management roles. Job analyses provide insight and context to the tasks employees actually do versus what their job descriptions depict or employers assume. Two separate job analyses studies investigated the…

This paper provides commentary on the visual method of concept mapping and how it was combined with semi-structured interviews to study participants' perspectives on educational leadership. Utilizing methodological literature and the author's research, the paper outlines key characteristics of concept mapping and provides an example of how these…

Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…

Authentic participation involving jointly undertaken analysis of data and dissemination of findings is rarely evident in participatory research involving disabled people. This paper examines analysis and dissemination which offers greater participation, providing a theoretical underpinning for this approach. This conceptualization arises from…

The ubiquitous acquisition and generation of data require a reworking of curricula in introductory statistics in tertiary education. We present a renewed curriculum that focuses on scientific thinking, modeling, and simulation-based inference, utilizing R and various R tools such as shiny and learnr apps. We teach statistics from a data-centric…