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Johanna S. Carroll; Hedieh Najafi; Martina Steiner – Biochemistry and Molecular Biology Education, 2025
Virtual Labs (vLabs) have been gaining popularity in high school and undergraduate education, but there are few studies looking at their use in graduate-level courses. In this study, we investigated the use of six Labster vLabs assigned as homework in a graduate-level in-person Genomic Methodologies course at the University of Toronto. This course…
Descriptors: Computer Simulation, Science Laboratories, Graduate Students, Genetics
Prajuabwan, Panupong; Worapun, Wittaya – Journal of Education and Learning, 2023
This study aimed to investigate the effects of STEM-based activities on grade 5 students' science learning achievement, computational skills, and satisfaction with the learning experience. The study involved 30 grade 5 students in the Thai context, and data were collected through a learning management plan designed using STEM-based activities, a…
Descriptors: STEM Education, Learning Activities, Grade 5, Science Achievement
Shelby J. Haberman; Sabine Meinck; Ann-Kristin Koop – Large-scale Assessments in Education, 2024
This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…
Descriptors: Elementary Secondary Education, Foreign Countries, Achievement Tests, Mathematics Achievement
Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
Walton Wider; Yong Xu; Yin Myo Thant; Choon Kit Chan; Leilei Jiang; Jiansheng Peng – Journal of Baltic Science Education, 2025
Background: Primary science education is critical for developing scientific literacy and fostering long-term interest in STEM. However, implementation faces challenges such as limited teacher preparation, rigid curricula, and unequal digital access. Purpose: This study aims to map the intellectual structure and emerging trends in primary science…
Descriptors: Elementary School Science, Science Education, Educational Trends, Educational Research
Kim Luttgen; Kevin Huang; Eunice Chow; Shuangting Yang; Linlin Li – Grantee Submission, 2024
Rural students often face challenges in receiving high-quality education in science, technology, engineering, and math (STEM). Yet without meaningful STEM educational opportunities, rural students might not develop the knowledge and skills needed to compete in a technology-driven workforce. The Learning by Making program (LbyM), an innovative…
Descriptors: Rural Schools, STEM Education, Educational Innovation, Achievement Gap

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