Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…

Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…

One crucial function of a classroom, and a school more generally, is to prepare students for future learning. Students should have the capacity to learn new information and to acquire new skills. This ability to "learn" is a core competency in our rapidly changing world. But how do we measure ability to learn? And how can we measure how…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…

The design of the Cognitive Tutor Algebra I (CTA1) intelligent tutoring system assumes that students work through sections of material following a pre-specified order, and only move on from one section to the next after mastering the first section's skills. However, the software gives teachers the flexibility to override that structure, by…

The purpose of this study was to identify the perceived barriers of adult learners to program in the State University of New York (SUNY) Manhattan Educational Opportunity Center (MEOC) from the perspectives of students and teachers. The study also sought to determine teachers' insights regarding means of motivating adult students to continue…

Energy is a critically important topic in the K-12 science curriculum, with many applications in the earth, physical, and life sciences and in engineering and technology. To meet the challenges associated with teaching energy, new tools and assessment instruments are needed. In this work we describe the development of a three-tier assessment…

We present a strategy for the acquisition and assessment of autonomous learning conducted as part of the Graphic Expression in Engineering (GE) degree course during the first quarter at the Escola Universitària d'Enginyeria Tècnica Industrial de Barcelona (EUETIB). The strategy employed is the puzzle technique in the classroom and multiple-choice…

A research and development project was undertaken to document, analyze and report the effects of implementing a free/open educational resources (OER) initiative within Sullivan University's College of Business Administration. The project involved the redesign of courses using no-cost textbooks and other educational resources, in place of resources…

In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…

Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…

This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates. A Bayesian model averaging approach is utilized to account for uncertainty in variable selection in modeling graduation rates. Evidence suggests…

The purpose of this study is to determine the attitudes of students from the Hasan Dogan School of Physical Education and Sports towards cheating in exams and to investigate changes in these attitudes in terms of several variables. The survey method was used in the study. The study was conducted during the 2014-2015 Academic year at the Karabük…

This article reports the descriptive results of foreign language anxiety experiences of engineering students in a top-ranked research university in Thailand. Although numerous studies have been conducted in the past years about English language anxiety, few studies have reported anxiety situations specific to Thai engineering graduate students in…