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Weinstein, Kathryn – Design and Technology Education, 2017
In the age of "Big Data," information is often quantitative in nature. The ability to analyze information through the sifting of data has been identified as a core competency for success in navigating daily life and participation in the contemporary workforce. This skill, known as Quantitative Reasoning (QR), is characterized by the…
Descriptors: Statistical Analysis, Graphic Arts, Design, Case Studies
Poteat, V. Paul; Yoshikawa, Hirokazu; Calzo, Jerel P.; Russell, Stephen T.; Horn, Stacey – Educational Researcher, 2017
Outside the immediate classroom setting, efforts within other school spaces also can shape school climate, address inequality, and affect student performance. Nevertheless, in this respect there has been little research on school-based extracurricular groups focused on issues of social inclusion and justice. An exception to this lack of focus has…
Descriptors: Clubs, Homosexuality, Sexual Orientation, Sexual Identity
Carreau, Robert; Robinson, Daniel B. – Canadian Journal of Action Research, 2017
This article recounts a five-year journey connecting Acadian and Mi'kmaw schools in Nova Scotia, Canada. We trace the unfolding of relationships between minority school students and administrators through both natural and semi-structured dialogues. We believe this work contributes to the emerging field of research called for by the Truth and…
Descriptors: Foreign Countries, Action Research, Indigenous Populations, Indigenous Knowledge
Lloro-Bidart, Teresa – Environmental Education Research, 2017
This paper contributes to a nascent conversation in environmental education (EE) research by using ethnographic data and extant theory to develop a feminist posthumanist political ecology of education for theorizing human-animal relations/relationships. Specifically, I (1) engage feminist methodologies and theories; (2) give epistemological and…
Descriptors: Feminism, Humanism, Environmental Education, Ecology
Lohrengel, C. Frederick, II.; Larson, Paul R. – Geography Teacher, 2017
National Geography Standard 1 requires that students learn:"How to use maps and other geographic representations, geospatial technologies, and spatial thinking to understand and communicate information" (Heffron and Downs 2012). These concepts have real-world applicability. For example, elevation contour maps are common in many…
Descriptors: Data Collection, Data Interpretation, Map Skills, Physical Geography
Divan, Aysha; Ludwig, Lynn O.; Matthews, Kelly E.; Motley, Phillip M.; Tomljenovic-Berube, Ana M. – Teaching & Learning Inquiry, 2017
The Scholarship of Teaching and Learning (SoTL) has been described as the fastest growing academic development movement in higher education. As this field of inquiry matures, there is a need to understand how SoTL research is conducted. The purpose of our study was to inform this debate by investigating research approaches used in SoTL…
Descriptors: Research Methodology, Scholarship, Publications, Journal Articles
Thompson, Karen D.; Martinez, Martha I.; Clinton, Chelsea; Díaz, Guadalupe – Educational Researcher, 2017
Researcher-practitioner partnerships have gained increasing prominence within education in recent years, yet scholarship on partnerships and tools to guide partnerships' work remain in their infancy. Drawing on our own work in a partnership as well as analysis of abstracts for the 41 partnerships funded by the Institute of Education Sciences and…
Descriptors: Educational Researchers, Interpersonal Relationship, Incidence, Data Collection
McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
DiCerbo, Kristen E.; Xu, Yuning; Levy, Roy; Lai, Emily; Holland, Laura – Educational Assessment, 2017
Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students' processes as they progress through learning…
Descriptors: Models, Cognitive Processes, Elementary School Students, Grade 3
Baker, J. Scott – Journal of Curriculum and Pedagogy, 2017
In the fall of 2015, the author conducted a national survey of over 1,000 former high school speech and debate competitors. As he told a colleague, he was drowning in data. It was a good problem to have, but he was not sure how to thoroughly examine the heart of data; how would he make meaning of their experiences? Then, he realized, the answer…
Descriptors: High School Students, Alumni, Public Speaking, Debate
Zaydman, Mikhail – ProQuest LLC, 2017
This dissertation examines conversations and attitudes about mental health in Twitter discourse. The research uses big data collection, machine learning classification, and social network analysis to answer the following questions (1) what mental health topics do people discuss on Twitter? (2) Have patterns of conversation changed over time? Have…
Descriptors: Public Policy, Mental Health, Data Analysis, Data Collection
Rafa, Alyssa – Education Commission of the States, 2017
Research shows that chronic absenteeism can affect academic performance in later grades and is a key early warning sign that a student is more likely to drop out of high school. Several states enacted legislation to address this issue, and many states are currently discussing the utility of chronic absenteeism as an indicator of school quality or…
Descriptors: Attendance Patterns, Academic Achievement, Educational Policy, At Risk Students
Alison Hramiak – Sage Research Methods Cases, 2017
As a follow on to my earlier research with beginning teachers, in which I investigated their propensity for pedagogical change, when they faced difficult and unfamiliar cultural situations in school, this research was undertaken to test the findings on a larger scale. The research from which this case study is drawn uses a greater number of…
Descriptors: Foreign Countries, Beginning Teachers, Teacher Attitudes, Change Agents
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education