Teachers' content knowledge impacts on what they teach, how they teach and what their students learn. In order to check whether the prospective teachers in a rural South African university know the mathematics content they are expected to teach in the schools, at least at the same depth as their future students expected to attain, the research on…

This article reports on a pilot study that used concrete materials and TinkerPlots to support a Year 4 student's understanding of the big ideas of variation and expectation when investigating a random chance experiment using spinners.

This study measures the mathematical abilities high school graduates' in Bahrain. Mathematical abilities encompass conceptual understanding, procedural knowledge and problem-solving skills in the five content domains which are Number and Operations, Algebra, Geometry, Measurement, and Data Analysis and Probability. While procedural understanding…

This study compared the profile of those who, after initial failure to be selected, choose to reapply to study medicine with those who did not reapply. It also evaluates the chance of a successful outcome for re-applicants. In 2013, 4007 applicants to undergraduate medical schools in the largest state in Australia were unsuccessful. Those who…

This study contributes to validity studies by determining the cut-off point of an inventory measuring university students' anxiety levels with Angoff, ROC, and Borderline methods and by examining high/low anxiety levels according to these methods point. The study is regarded as a basic research due to the newly-added data in a multi-scoring…

This paper presents the results of a national validity study examining relationships between new SAT Essay scores and first semester grades in English and writing courses, as well as first-year grade point average (FYGPA) in college. The sample includes more than 180,000 first-year students across 171 four-year institutions. Results show that…

We study the impact of financial incentives on higher education decisions and the choice of major. We rely on a reform whereby Israeli kibbutzim shifted from their traditional policy of equal sharing to productivity-based wages. We use for identification the staggered implementation of this reform in different kibbutzim. In this setting of very…

The research shared in this conference paper report illustrates how an iterative process to item development that involves expert review and cognitive lab interviews with students can be used to collect evidence of validity for assessment items. Analysis of students' reasoning was also used to expand a model for identifying conceptions and…

The development of cognitive diagnostic-computerized adaptive testing (CD-CAT) has provided a new perspective for gaining information about examinees' mastery on a set of cognitive attributes. This study proposes a new item selection method within the framework of dual-objective CD-CAT that simultaneously addresses examinees' attribute mastery…

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…

Curriculum-Based Measurement of Reading (CBM-R) is frequently used to monitor instructional effects and evaluate response to instruction. Educators often view the data graphically on a time-series graph that might include a variety of statistical and visual aids, which are intended to facilitate the interpretation. This study evaluated the effects…

Previous experimental psycholinguistic studies suggested that the probabilistic phonotactics information might likely to hint the locations of word boundaries in continuous speech and hence posed an interesting solution to the empirical question on how we recognize/segment individual spoken word in speech. We investigated this issue by using…

This paper discusses investigations in science education addressing the nonlinear dynamical hypothesis. Learning science is a suitable field for applying interdisciplinary research and predominately for testing psychological theories. It was demonstrated that in this area the paradigm of complexity and nonlinear dynamics have offered theoretical…

This study analyzed the debt profile of low-income households before and after the Great Recession using the 2007, 2010, and 2013 Survey of Consumer Finances (SCF). We used Heckman selection models to investigate three debt characteristics: (a) the amount of debt, (b) debt-to-income ratio, and (c) debt delinquency. Before and after the Great…

In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…