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Reza Kachouie; Stephen Williams; Harsh Suri – Journal of Information Systems Education, 2024
In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…
Descriptors: Business Education, Data Analysis, Business Administration, Courses
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Kelly, Susan Meabh – Science Teacher, 2021
Thanks to the development and deployment of federally funded satellite-, buoy-, and aircraft-based remote sensing instruments, continuous streams of Earth and space data are publicly available via online databases. This accessibility provides flexibility to explore geoscience data that are interesting and relevant to students--keystone components…
Descriptors: Earth Science, Databases, Data Analysis, STEM Education
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Tzung-Ruei Tsou – SAGE Open, 2024
The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…
Descriptors: Foreign Countries, Family Characteristics, Academic Achievement, Institutional Characteristics
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Ridwan, M. Rais; Hadi, Samsul; Jailani – Journal on Efficiency and Responsibility in Education and Science, 2022
This meta-analysis intends to determine the impact of cooperative learning model research findings on the mathematics learning outcomes of Indonesian vocational high school students. Based on moderator variables, such as grade level and student sample size, identify efficacy and publication bias measures. Data from descriptive analysis, which…
Descriptors: Cooperative Learning, Mathematics Education, Outcomes of Education, Vocational Schools
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Stillman, Gloria Ann; Brown, Jill P. – Mathematical Thinking and Learning: An International Journal, 2023
This paper investigates students' mathematical modeling activity in data-rich modeling tasks. It aims at gaining insight into how students develop meaning when modeling data-rich situations and the mathematical models produced. A tendency to model a particular dataset, rather than the phenomenon that the dataset is a particular instance of, has…
Descriptors: Mathematical Models, Data Analysis, Grade 10, Grade 11
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Gilman, Rich; Carboni, Inga; Perry, Andrew; Anderman, Eric M. – School Psychology, 2022
Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…
Descriptors: Social Networks, Network Analysis, School Psychology, Data Analysis
Francis Apaloo – ProQuest LLC, 2021
The purpose of this study is to investigate whether teacher support mediates the relationship between students' sense of school belonging and academic achievement. Using 2 case periods of panel data from the Connecticut Department of Education, I used Baron and Kenny mediation analyses and a fixed-effects regression model to investigate data from…
Descriptors: Grade 9, High School Students, Academic Achievement, Grade 11
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Birney, Lauren; McNamara, Denise – Journal of Curriculum and Teaching, 2021
In an increasingly data driven world, the need for a qualified STEM workforce is essential. Increasing the diversity of this workforce increases the social and economic possibilities for the individual as well as national economic status and global prominence in innovation and technology. The Curriculum and Community Enterprise for Restoration…
Descriptors: Disadvantaged, STEM Education, Disproportionate Representation, Diversity