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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
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Quin-Anne Hinrichs; Chelsea R. Johnston; Laura Feuerborn; Ashli Tyre – Beyond Behavior, 2025
Implementation of a culturally responsive positive behavioral interventions and supports (PBIS) framework is associated with positive outcomes for secondary students when implemented schoolwide. Yet, educators often report more implementation challenges in secondary school as compared to elementary school settings. Difficulties obtaining student…
Descriptors: Behavior Modification, Positive Behavior Supports, Student Behavior, Behavior Problems
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Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
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Yulei Gavin Zhang; Mandy Yan Dang; M. David Albritton – Journal of Information Systems Education, 2024
The current study details the development of an undergraduate business analytics course that combines components of both active and experiential learning. The course offering is designed to expose students from different backgrounds to an intermediate-to-advanced level of business analytics. The course is unique in that it was designed to be…
Descriptors: Information Retrieval, Data Analysis, Undergraduate Students, Active Learning
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Marie van Staveren – Journal of Chemical Education, 2022
This paper shows a method for integrating computer programming into a standard physical chemistry laboratory sequence to augment student data analysis abilities and allow them to carry programming skills forward to other courses. The Python programming language is used, taking advantage of the pedagogical benefits of Jupyter notebooks, primarily…
Descriptors: Programming Languages, Educational Technology, Chemistry, Science Laboratories
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Cate, Leandra; Wetzstein, Lia; Kovacich, Katie – Community College Research Initiatives, 2023
One of the key commitments of the Community College Research Initiatives (CCRI's) STEM Transfer Partnership (STP) program is to transform STEM transfer pathways and improve outcomes for students from low-income backgrounds using student input. Student input is an essential element in institutional transformation for student success but the process…
Descriptors: STEM Education, Student Attitudes, Educational Change, Data Collection
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Adrian Harrison; Gareth Evans; Gonzalo Blanco – Journal of Microbiology & Biology Education, 2024
Within the eukaryotic cell, the actin cytoskeleton is a crucial structural framework that maintains cellular form, regulates cell movement and division, and facilitates the internal transportation of proteins and organelles. External cues induce alterations in the actin cytoskeleton primarily through the activation of Rho GTPases, which then bind…
Descriptors: Biology, Science Instruction, Science Process Skills, Skill Development
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Zullig, Keith J.; Matthews-Ewald, Molly R.; Huebner, E. Scott – AASA Journal of Scholarship & Practice, 2021
The School Climate Measure (SCM) is a comprehensive measure of school climate that has demonstrated significant psychometric support and available free of charge. The goal of this research-informed commentary is to provide readers with necessary knowledge to make an informed decision of the appropriateness of the SCM for use in their school or…
Descriptors: Educational Environment, Test Construction, Psychometrics, Attitude Measures
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Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
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Danielle N. Maxwell; Jeffrey L. Spencer; Ethan A. Teich; Madeline Cooke; Braeden Fromwiller; Nathan Peterson; Linda Nicholas-Figueroa; Ginger V. Shultz; Kerri A. Pratt – Journal of Chemical Education, 2023
Reading and understanding scientific literature is an essential skill for any scientist to learn. While students' scientific literacy can be improved by reading research articles, an article's technical language and structure can hinder students' understanding of the scientific material. Furthermore, many students struggle with interpreting graphs…
Descriptors: Teaching Methods, Scientific Literacy, Science Instruction, Reading Comprehension
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Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Agarwal, Nikhil; Somaini, Paulo J. – National Bureau of Economic Research, 2019
Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review…
Descriptors: School Choice, Models, Educational Quality, Data Analysis
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Swartout, Kevin M.; Wood, Leila; Busch-Armendariz, Noël – Health Education & Behavior, 2020
Hundreds of U.S. institutions of higher education have conducted campus climate surveys recently to assess students' experiences with sexual misconduct and perceptions of institutions' related policies and procedures. Many of these surveys were implemented in response to the recommendation by the 2014 White House Task Force to Protect Students…
Descriptors: College Environment, School Policy, Sexual Abuse, Student Attitudes
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Jones, Valerie K.; Johnson, Kate; Molskness, Hannah; Gandhi, Ronit; Zhou, Lilly – Journal of Advertising Education, 2022
This paper describes an advertising ethics course designed for first-year students of any major, written from the perspectives of both the course creator/instructor and the students who took the course and developed a workshop based around it. As educators, how do we help students learn and care about how their data is collected and used and…
Descriptors: Advertising, Ethics, Introductory Courses, Undergraduate Students
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