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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
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
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
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
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
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
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
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
Merrill, Lisa; Lafayette, Camille – Research Alliance for New York City Schools, 2018
Research has begun to show that certain schoolwide characteristics--such as student-centered learning environments, leadership, and safety--can be important for improving student outcomes. In keeping with these insights, school improvement efforts around the country are becoming less narrowly focused on the performance of individual students and…
Descriptors: Grade 6, Grade 7, Grade 8, Grade 9
Kavai, Portia; de Villiers, Rian; Fraser, William – International Journal of Instruction, 2017
In Life Sciences (biology) education, both nationally and internationally, the study of animal and organ morphology has traditionally involved dissection since the early 19th century. This study focused on the inclinations of teachers and learners towards animal organ dissection, and its use in problem-solving in Grade 11 Life Sciences education…
Descriptors: Foreign Countries, High School Students, Grade 11, Biological Sciences
Meyers, Coby; Wan, Yinmei – Regional Educational Laboratory Northeast & Islands, 2017
Identifying schools that are beating the odds--schools that are exceeding academic performance expectations, given the composition of their student body--can lead to promising practices that other schools serving similar populations can implement. Regional Educational Laboratory Northeast & Islands used data on high-poverty high schools in…
Descriptors: Comparative Analysis, Institutional Characteristics, Poverty, Public Schools
Figueiredo, M.; Esteves, L.; Neves, J.; Vicente, H. – Chemistry Education Research and Practice, 2016
This study reports the use of data mining tools in order to examine the influence of the methodology used in chemistry lab classes, on the weight attributed by the students to the lab work on learning and own motivation. The answer frequency analysis was unable to discriminate the opinions expressed by the respondents according to the type of the…
Descriptors: Data Collection, Data Analysis, Chemistry, Science Instruction
Malin, Joel R.; Hackmann, Donald G. – Leadership and Policy in Schools, 2017
Creating effective pathways for students to transition from high school to college or career is immensely important and, although challenging, some have developed promising approaches. This case study examined how formal and informal leaders in an urban high school and district collaborated to implement a college and career academy model,…
Descriptors: Transitional Programs, Case Studies, High School Graduates, College Bound Students
Emery, Katherine; Harlow, Danielle; Whitmer, Ali; Gaines, Steven – Science Teacher, 2015
People are regularly confronted with environmental and science-related issues presented to them in newspapers, on television, or even in their own doctor's office. Often the information they use to inform their decisions on matters of science may be ambiguous and contradictory. This article presents an activity that investigates how students deal…
Descriptors: Science Education, Standards, Information Literacy, Data Analysis