Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…

This work asks one simple question: "how reliable is the method used by the National Centre for Vocational Education Research (NCVER) to estimate projected rates of VET program completion?" In other words, how well do early projections align with actual completion rates some years later? Completion rates are simple to calculate with a…

What are the challenges faced by a mid-south liberal arts college teacher education program, in its attempt to successfully meet the new Council for the Accreditation of Educator Preparation (CAEP) accreditation requirements? The Investigator studied the Educator Program Provider (EPP) during academic year 2015-2016. The challenges faced by the…

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world's…

National content standards in PE address responsibility; however, learning outcomes and teacher effectiveness in this area remain poorly defined. This study employed the Social and Emotional Learning framework and a teaching personal and social responsibility (TPSR) model fidelity instrument to address this gap. Our purpose was to examine the…

Data use is becoming more important in higher education. In this case study, a team of teachers from a teacher education college was supported in data-based decision making by means of the data team procedure. This data team studied the reasons why students drop out. A team's success depends in part on whether the team is able to develop and apply…

Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…

The constructs of complexity, accuracy and fluency (CAF) have been used extensively to investigate learner performance on second language tasks. However, a serious concern is that the variables used to measure these constructs are sometimes used conventionally without any empirical justification. It is crucial for researchers to understand how…

The two cross-national indices with gender-differentiated data introduced by the UNDP in 1995, as well as several other such indices developed subsequently, are an important resource for researchers and policy makers interested in gender disparities. Yet questions remain regarding how these indices should be interpreted and how valid they are.…

There has been much discussion about quantitative and qualitative approaches to research in different disciplines. In the behavioural and social sciences, these two paradigms are compared to reveal their relative strengths and weaknesses. But the debate about both traditions has commonly taken place in academic books. It is hard to find an article…

The Liebowitz Social Anxiety Scale (LSAS) is one of the most commonly used measures of social anxiety symptoms. To date, no study has examined its psychometric properties in a Latino sample. The authors examined the reliability, temporal stability, and convergent validity of the LSAS in 73 Latinos diagnosed with an anxiety disorder. The original…

Public service utilization data are often used as key outcomes in studies on homelessness. Although self-report data on these outcomes are accessible and cost-effective, various factors may affect retrospective recall in homeless populations. It is therefore necessary to establish validity of self-report to ensure the integrity of studies…

This study examined the use of automatic speech recognition (ASR) scored elicited oral response (EOR) tests to assess the speaking ability of English language learners. It also examined the relationship between ASR-scored EOR and other language proficiency measures and the ability of the ASR to rate speakers without bias to gender or native…

This experimental research study scrutinized the effectiveness of using augmented reality (AR) applications (apps) as a teaching and learning tool when instructing kindergarten children in the English alphabet in the State of Kuwait. The study compared two groups: (a) experimental, taught using AR apps, and (b) control, taught using traditional…

Randomized controlled trials (RCTs) are widely considered to be the gold standard in evaluating the impacts of a social program. When an RCT is infeasible, researchers often estimate program impacts by comparing outcomes of program participants with those of a nonexperimental comparison group, adjusting for observable differences between the two…