Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

Math self-efficacy has been shown to predict math achievement and interest in a math-related career, such as one in science, technology, engineering, and mathematics (STEM). However, women consistently report lower math self-efficacy than men, contributing to gender disparities in upper-level math courses and the underrepresentation of women in…

The development of students' mathematical problem-solving skills is contingent upon the approaches and methods employed by primary school teachers. This research endeavors to scrutinize the effectiveness of primary school teachers in their roles within the problem-solving process, with particular attention directed toward their inquiry techniques,…

Despite policy relevance, longer-term evaluations of educational interventions are relatively rare. A common approach to this problem has been to rely on longitudinal research to determine targets for intervention by looking at the correlation between children's early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., first-grade…

This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular…

In learning environments research, limited attention has been paid to the effects of the family environment on student thinking. This study constructed a five-dimension survey of the family environment, based on previous studies of the classroom learning environment, and used it to compare the effects of the family environment and the classroom…

Teaching of centripetal force in secondary education is a challenging task because of its central role in the circular and rotational motion. The specific equipment needed for experiments that explore the physical law which governs the centripetal force is usually limited in schools. The experiment presented in this paper, is based on a device…

This study aimed to investigate the effects of judgment frames, cues, and test criteria on the accuracy of metacomprehension monitoring. The design was a 2 (rating comprehension vs. predicting performance) × 2 (memory cues vs. comprehension cues) × 2 (detailed questions test vs. inferential questions test) mixed design with judgment frames and…

Though Latinx students are going to college at an increasing rate, these students are still more likely to attend community college and less prestigious 4-year institutions than other groups. In an effort to understand this pattern, our study investigates how Latinx students prepare for college while in high school. We use nationally…

Previous research has shown that early numerical abilities are predictive of later mathematical achievement. In line with these previous studies, we investigated whether early numerical abilities are also associated with later probabilistic reasoning abilities. In the present study, we examined children's numerical abilities in the second grade of…

In recent years, there has been an increase in the demand for higher education in Turkey, where the demand, as in most other countries, exceeds what is available. The main purpose of this research is to develop machine learning algorithms for predicting the percentage of student placement based on the data related to the university's academic…

In this paper, we propose that an increasingly regarded theoretical framework in neuroscience--the predictive processing framework--can help to advance an understanding of the foundations of critical thinking as well as provide a mechanistic hypothesis for how education may increase a learner's subsequent use of critical thinking outside of an…

Students, instructors, and policy makers are in need of research-based recommendations for supporting students' motivation to pursue STEM fields. The present study addressed this need by examining relations between perceived motivational supports, year-long trajectories of expectancy for success and three task values, and grades among students (N…

This exploratory study determined the relationship between math instructional activities in Wave (year) 1 and English language learner (ELL) children's math problem-solving performance in Wave (year) 2. The math performance of ELL children (N = 291) in Grades 1, 2, and 3 was tested in two testing waves. Two major findings emerged. First, strategy…

Historically, undergraduate anatomy and physiology (A&P) has been a challenging course for incorporating conceptual learning techniques due to large class sizes and an emphasis on content and terminology. The project utilized the Predict-Observe-Explain (POE) strategy to create short activities based on real-world scenarios that incorporated…