This paper aims to examine the impacts of career guidance interventions on school students' career-related skills, knowledge and beliefs by combining relevant empirical studies conducted in the last 10 years. A random-effects meta-analytic technique was employed for this purpose. After screening, electronic databases using pre-defined eligibility…

In this paper, we describe our solution to predict student STEM career choices during the 2017 ASSISTments Datamining Competition. We built a machine learning system that automatically reformats the data set, generates new features and prunes redundant ones, and performs model and feature selection. We designed the system to automatically find a…

This study investigated middle school students' interests and perceptions of the importance of developing their knowledge and skills in Science, Technology, Engineering and Mathematics (STEM) in the United Arab Emirates (UAE). In addition, the study also investigated the effect of gender on students' interests and perceptions. One hundred…

This study explains the development of science, technology, engineering, mathematics (STEM) interest among elementary and middle schoolchildren. The cohort longitudinal design was applied, starting with three cohorts of students--fourth (10 years), fifth (11 years), and sixth (12 years) grade--followed for three consecutive years. A total of 947…

Both personalization and utility value (UV) interventions have emerged in educational psychology as ways to increase students' interest in learning an academic subject, and potentially improve learning outcomes. However, empirical results for each approach have been mixed and these approaches have worked differently for different groups of…

This study investigates how self-efficacy and motivation predict students' science literacy and career expectations above and beyond their socioeconomic status. A structural equation model built on self-determination theory and self-efficacy was examined using PISA 2015 data from Finland and Japan. The study sample is 5882 and 6647 15-year-old…

Science, technology, engineering, and math (STEM) continue to be a major challenge for the United States (U.S.), as the U.S. continues to lag behind other countries in this area due to ongoing lack of individuals who are entering STEM fields and many who are entering STEM fields but lack the skills necessary to perform adequately in these roles.…

In a webinar series called the Wild Side of STEAM, educators at the Smithsonian's National Zoo and Conservation Biology Institute introduce young viewers to these lesser-known or unusual careers. The free webinar series, launched in October 2020, informs viewers about the variety of careers available in science, technology, engineering, arts, and…

Internationally, out-of-school time (OST) science, technology, engineering, and mathematics (STEM) programs abound. However, rigorous evidence of their impacts on student outcomes is scarce. This study evaluated the relationships between OST STEM program participation and student motivational factors in math and science by analyzing survey and…

Research on the dearth of teachers of color has focused on disparities in college enrollment, completion, and academic major. The present study examines whether disparities may begin earlier. Analyses of nationally representative longitudinal data show that students of color are 2 to 4 percentage points less likely to hold teaching career…

This study aimed to examine the trends in grants for STEM/STEAM education in Japan as well as Japanese students' perception of science learning and future careers. The grants were addressed through analysis of chronological trends, while student perceptions were reviewed through student questionnaires on Trends in International Mathematics and…

Despite high scores and abilities, girls lose interest in science and math throughout middle school. According to the Bureau of Labor Statistics, jobs in the computer science research field will grow 19% by 2026; however, only 18% of the bachelor's degrees in computer science are earned by women in the United States (ComputerScience.org, 2021).…

Theoretically framed within Social Cognitive Career Theory emphasising on the construct of situational interest, this study explores the impact of career-based scenarios, as an instructional approach, on students' interest in science and understandings of STEM careers. This case study involved 16 students aged 13-15 years old, who participated in…

The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…

Background: Previous studies have reported the impact of integrated science, technology, engineering and mathematics (STEM)-based programmes on students' interest towards STEM, however, only few have tracked the longitudinal impact of such programmes across the years. Purpose: This study examined the long-term impact of the "Bitara-STEM:…