This article provides an analysis of the academic performance of higher education institutions (HEIs) in Vietnam with 50 universities and 50 colleges in 2011/12. The two-stage semiparametric data envelopment analysis is used to estimate the efficiency of HEIs and investigate the effects of various factors on their performance. The findings reveal…

Model uncertainty is pervasive in social science. A key question is how robust empirical results are to sensible changes in model specification. We present a new approach and applied statistical software for computational multimodel analysis. Our approach proceeds in two steps: First, we estimate the modeling distribution of estimates across all…

Assessment of learning outcomes at the program level is essential to evaluate whether students are achieving what is expected of them as graduates. In this article we present the results of a study in which faculty focus groups were consulted so as to understand the subjective issues that surround the learning outcomes assessment program of an…

Data is flexible in that it is molded by not only the features and variables available to a researcher for analysis and interpretation, but also by how those features and variables are recorded and processed prior to evaluation. "Big Data" from online learning platforms and intelligent tutoring systems is no different. The work presented…

Decentralization is acknowledged as the handover of government from central government to local government, including giving broader authority to local governments to manage education. This study aims to discovering education development gap between regions in Indonesia as a result of decentralization. This research method uses descriptive…

As a phenomenon of interest, impact, and import, there is little doubt that the pervasive expansion of data is upon us as Information Systems educators. Concerns and topics such as Data Science, Data Analytics, Machine Learning, Business Analytics, and Business Intelligence are now ubiquitous and often situated as being the "next big…

Purpose: To conduct a systematic review (SR) of 550 studies produced between 1970 and 2008 that focus on programs and/or services provided by state vocational rehabilitation (VR) agencies believed to impact client and/or program outcomes. Method: Authors used a 5-step SR protocol to evaluate and summarize study content and outcomes, study design,…

Until recently, there were four sources of large-scale self-report survey data on victim rates, cross-nationally: EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. Smith, Robinson, and Marchi (2016) examined the internal validity and external validity…

With the growth in distance education offerings, instructors who now teach quantitative material via the web have been faced with many challenges. Foremost has been the need to develop appropriate methods for teaching such material to students who are not physically in the classroom. Methodologies that have traditionally been taught in a highly…

Recent calls for reform in K-16 science, technology, engineering, and mathematics (STEM) education not only emphasize mastery of content, but also call for students to engage in the scientific practice of making evidence-based claims, or scientific argumentation (National Research Council, 2012; NGSS Lead States, 2013). However, students often…

In this special issue, we explore the decision-making aspect of "data-based decision-making". The articles in the issue address a wide range of research questions, designs, methods, and analyses, but all focus on data-based decision-making for students with learning difficulties. In this first article, we introduce the topic of…

Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…

Functional behavior assessment (FBA) is the process of collecting data to determine the function of an individual's behavior to develop a functionally-indicated behavioral intervention (BIP). Special adaptations may be needed to conduct FBA and implement BIPs in alternative educational settings. In this article, we highlight suggestions for…

Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

This article explores how the three aspects of Striphas' notion of algorithmic culture (information, crowds and algorithms) might influence and potentially disrupt established educational practices. We draw on our experience of introducing semantic web and linked data technologies into higher education settings, focussing on extended student…