This article reports on a Monte Carlo simulation study, evaluating two approaches for testing the intervention effect in replicated randomized AB designs: two-level hierarchical linear modeling (HLM) and using the additive method to combine randomization test "p" values (RTcombiP). Four factors were manipulated: mean intervention effect,…

With increasing access to Brazilian higher education comes increasing dropout rates in both licentiate and non-licentiate undergraduate programs. This paper reports on a comparative study of licentiate and non-licentiate undergraduate programs that enrolled students who either had or did not have a University Program for All (ProUni) scholarship.…

The future of education is human expertise and artificial intelligence working in conjunction, a revolution that will change the education as we know it. The Intelligent Tutoring System is a key component of this future. A quantitative measurement of efficacies of practice to heterogeneous learners is the cornerstone of building an effective…

The aim of the research is to develop an online environment where teachers can access test and item statistics and a comprehensible report regarding the tests they have used, to ensure the storage of their reports in their own online environment as well as to have an idea on the utility of the subject matter environment. The research is planned as…

The aim of this research is to describe and explore the statistical literacy of middle school students in solving the Trends in International Mathematics and Science Study (TIMSS) problems. This research utilized the qualitative approach, with the research type being descriptive-explorative. The research subjects consisted of 6 Grade 8 students…

In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…

A number of studies demonstrate that quantitative teaching provides social science students with analytical and critical skills. Accordingly, the skills acquired during quantitative teaching are assumed to enhance students' progress in and after their degree. However, previous studies rely on subjective measures of students' evaluations of their…

School disruption (SD) places students at risk of early school departure and other negative psychological outcomes. Based on the data derived from a sample of Ontario children and youth, this study aims to identify risk factors associated with SD among 1,241 school-aged students. A logistic regression model revealed that substance use, family…

This paper aims to reveal the beliefs of students and fresh university graduates about teaching statistics during their university studies with focus on using statistical software. The objective is to detect the approach of faculties to statistics education and to find out which didactic materials and teaching methods are mainly used. Students'…

Purpose: Achievement emotions have been shown to mediate the association between achievement goals and learning performance, but no research to date has tested whether there is a similar process in predicting germane cognitive load. Based on the control-value theory of academic emotions (Pekrun, 2006), the present study tested a model to determine…

Online learning could have negative impacts on learning processes and outcomes. The condition needed to be resolved through the implementation of appropriate online learning approaches. The research was aimed at describing the effectiveness of the implementation of asynchronous and synchronous online learning approaches in students' learning…

The interpretation of psychometric test results is usually based on norm scores. We compared semiparametric continuous norming (SPCN) with conventional norming methods by simulating results for test scales with different item numbers and difficulties via an item response theory approach. Subsequently, we modeled the norm scores based on random…

The evaluation of learning in mathematics is a worldwide problem, therefore, new methods are required to assess the understanding of mathematical concepts. In this paper, we propose to use the Item Response Theory to analyze the understanding level of undergraduate students about the real function mathematical concept. The Bayesian approach was…

The present study compares the fit of two- and three-parameter logistic (2PL and 3PL) models of item response theory in the performance of preschool children on the Raven's Colored Progressive Matrices. The test of Raven is widely used for evaluating nonverbal intelligence of factor g. Studies comparing models with real data are scarce on the…

This study examined the utility of using cost-effectiveness analysis to select universal mathematics screening measures in middle school. Participants (n=1586) were students in Grades 6, 7, and 8 at two suburban middle schools in Wisconsin. Screening data, including previous year criterion-measure (Wisconsin Forward Exam) scores, fall Measures of…