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Sheree Rodney; Ami Mamolo – Canadian Journal of Science, Mathematics and Technology Education, 2023
This paper examines preservice teachers' experiences when they engage with tasks using dynamic technological applets to analyse data pertaining to societal issues. We examine two vignettes that discuss preservice teachers' interaction with dynamic visual representations of data related to plastic pollution and food supply. We analyse this data…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Oriented Programs, Data Analysis
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Stevens, Scott P.; Palocsay, Susan W.; Novoa, Luis J. – INFORMS Transactions on Education, 2023
Test writing is a fundamental component of teaching. With increasing pressure to teach larger groups of students, conduct formal assessment of learning outcomes, and offer online and hybrid classes, there is a need for alternatives to constructed response problem-solving test questions. We believe that appropriate use of multiple-choice (MC)…
Descriptors: Multiple Choice Tests, Introductory Courses, Test Construction, Content Validity
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Alison Wallum; Zetai Liu; Joy Lee; Subhojyoti Chatterjee; Lawrence Tauzin; Christopher D. Barr; Amberle Browne; Christy F. Landes; Amy L. Nicely; Martin Gruebele – Journal of Chemical Education, 2023
As data science and instrumentation become key practices in common careers ranging from medicine to agriscience, chemistry as a core introductory course must introduce such topics to students early and at an accessible level. Advanced data acquisition and data science generally require expensive precision instrumentation and massive computation,…
Descriptors: Undergraduate Study, Data Science, Science Laboratories, Laboratory Equipment
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Scott W. Allard; Elizabeth Pelletier – RSF: The Russell Sage Foundation Journal of the Social Sciences, 2023
Rising poverty in suburbs has led to increased interest in how well suburban safety nets function. Apart from public assistance programs, community-based nonprofit health and human service organizations play a central role in suburban efforts to address racial and economic inequalities. Understanding how nonprofit services are distributed across…
Descriptors: Nonprofit Organizations, Social Services, Suburbs, Human Services
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J. J. Cutuli; Sandra Torres Suarez; Aaron Truchil; Tyler Yost; Ciani Flack-Green – Educational Researcher, 2024
We tested 10 data-based strategies to better identify student homelessness in Camden City School District, which has a student body from minoritized backgrounds. We operationalized strategies through a research-practice partnership, following the federal homelessness definition. Data span 5 years (2014-15 through 2018-19), including integrated…
Descriptors: Urban Schools, Homeless People, Identification, Data Analysis
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Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
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Shilpa Bhaskar Mujumdar; Haridas Acharya; Shailaja Shirwaikar; Prafulla Bharat Bafna – Journal of Applied Research in Higher Education, 2024
Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…
Descriptors: Problem Based Learning, Information Retrieval, Data Analysis, Pattern Recognition
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Margaret C. Keiper; Jon Nachtigal; Joshua M. Lupinek; Rusty A. Stough – Journal of Marketing Education, 2024
This study builds on the long-identified gap between the marketing industry and marketing academia. The research investigates the relationship between resource-based factors and marketing faculty's intention to use marketing analytics technology. The theoretical framework for this study is the concerns-based adoption model (CBAM). Resource-based…
Descriptors: Accreditation (Institutions), Business Education Teachers, School Business Relationship, Marketing
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Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
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Zachary J. Hyder; Gresham D. Collom; J. Patrick Biddix – Texas Education Review, 2024
We utilize a difference-in-difference design to examine the effect of adopting a statewide promise program on the enrollment of community college students across socio-economic status. Limited by a small sample size for treated units, we find inferential evidence that the adoption of a state-wide, last-dollar promise program for community colleges…
Descriptors: Low Income Students, Unemployment, Public Colleges, Community Colleges
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Matthew Boyne – Information Systems Education Journal, 2024
The research sought to study potential efficiency in course design and execution using Constructive Alignment, and then classroom workflow grounded in eduScrum based on the Agile Project Framework of Scrum for graduate classes in managerial analytics. The research measured performance based on the Scrum concept of Velocity, defined as the rate of…
Descriptors: Graduate Study, Data Analysis, Computer Software, Instructional Effectiveness
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Mark O. Sullivan; James Vaughan; Carl T. Woods – Sport, Education and Society, 2024
Utilising novel ways of knowing, aligned with an ecological approach, the Learning in Development Research Framework (LDRF) has been introduced as a different way to guide research and practice in sport. A central feature of this framework is an appreciation of researcher embeddedness; positioned as an inhabitant who follows along with the…
Descriptors: Data Analysis, Synthesis, Physical Education, Inquiry
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Fahd Naveed Kausar; Cui Yuping; Noreen Ghazala; Quart-Ul-Ain Khan; Muhammad Usman Shah; Muhammad Sajjad – SAGE Open, 2024
Education is considered a key element in the formation of human capital, associated with the sustainable development of a country's economic growth. The study has investigated the relationship between education and Pakistan's economic growth in the short as well as long run. For measurement, thirty years of data spanning from 1987 to 2016 was used…
Descriptors: Foreign Countries, Human Capital, Sustainable Development, Economic Development
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Ambra L. Green; Amanda A. Olsen; Mara E. Power; Vandana Nandakumar – Preventing School Failure, 2024
The continual use of suspension and expulsion remains an unsettling concern for many educational stakeholders. With some guidance from the federal government, states have begun to address the issue of discipline disproportionality through policy reform that restrict the use of suspension and expulsion for certain student groups (e.g.,…
Descriptors: Discipline Policy, Suspension, Expulsion, Disproportionate Representation
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Kristian Edosomwan; Jemimah L. Young; Jamaal R. Young – Middle Grades Review, 2024
This study examines the impact of early Algebra I coursework on advanced Carnegie credits among 12th graders from diverse racial/ethnic backgrounds, using data from the NCES HSTS (1990-2019). Findings indicate that early Algebra students, particularly Black and Latinx, earn more advanced credits, revealing a widening gap in advanced course…
Descriptors: Algebra, Credits, Educational Attainment, Measurement Techniques
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