This paper analyzes the impact of grading practices on the gender gap in student achievement. We examine the gender difference in the difference between teacher grading and scores on national exams to test whether there are gender differences associated with different grading systems. We use data on 21 subjects across humanities and sciences for…

We evidence English teacher and student perspectives on the learning of pre-university mathematics 'A Level' courses through the pandemic period to July 2021. Data are drawn from a 2017-21 classroom-close study of enactment of such courses in 13 fairly representative centres, using an institutional ethnographic approach. The pandemic picture was…

This study explored the effectiveness of an adaptive web-based learning tutorial designed to teach three modules of a college level introductory statistics course. Specifically, the impact of the tutorial on student knowledge, motivation, and study time was examined. One hundred thirty four college students were randomly assigned to study from…

In recent decades, philosophy has been identified as a general approach to enhance the maturity of higher education as a field of study by enriching theory and method. In this article, I offer a new set of philosophical recommendations to spur the disciplinary development of higher education, departing from previous work in several meaningful…

Students often perceive statistics as a difficult subject, and it is frequently named as one of the primary causes of high dropout rates in economics educations in Norway. In order to support the learning process in statistics courses, and in order to make the courses more flexible, the author experimented with the use of Padlet in two different…

The aim of this study is to provide -- first theoretically and, subsequently, through an empirical analysis -- a rationale for including the concept of overexcitability in talent research, beyond the five-factor model personality traits. Moreover, the empirical part of this study makes use of an innovative statistical method to address the problem…

The extent of barriers in technology integration that teachers have faced in the teaching-learning process has long been the focus of researchers. The main purpose of the current study is to map the perceived internal and external barriers of teachers on TAM while integrating technology into their classroom. The proposed comprehensive model was…

The purpose of this study was to adapt the Statistics Anxiety Rating Scale (STARS) for a Greek student population. The STARS was administered to 890 Tertiary Education students in two Greek universities. It was performed a cross-validation study to examine the factorial structure and the psychometric properties with a series of confirmatory factor…

Multilevel modeling (MLM) is a statistical technique for analyzing clustered data. Despite its long history, the technique and accompanying computer programs are rapidly evolving. Given the complexity of multilevel models, it is crucial for researchers to provide complete and transparent descriptions of the data, statistical analyses, and results.…

This study investigated the influence of acquired L1 writing skills on exophonic writings of students (N = 147) from diverse majors, who visited an English writing center for assistance. Affective differences revealed students with L1 writing tutelage (WL1) had lower avoidance behavior and higher extrinsic motivation and writing self-efficacy.…

Exceptional talent includes the ability and willingness to solve varied, complex problems, and having a knowledge structure that facilitates problem solving and creativity. The purpose of this study was to determine changes in students' knowledge structures resulting from fidelity of implementation of Real Engagement in Active Problem Solving…

This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…

Childhood and adolescence are critical periods for human development, involving an inherent tension between children's development and autonomy and their safety and well-being. The digital mediation of children's increasingly autonomous participation in the social world has been one of the most heated issues for parents and policy maker, generally…

The statistical computing and graphics software R, despite its many advantages, is sometimes considered too complex to be introduced to undergraduate political science majors. In this article I showed that when taught appropriately, R could be a valuable and well-received aspect of an introductory research methods course. It is important to teach…

This study investigated whether basic mathematics skills are associated with undergraduate psychology statistics course performance while simultaneously considering self-reported psychological/behavioral and demographic variables. Participants (n = 460) completed a Math Assessment for College Students (MACS), which included questions ranging from…