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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
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Zilvinskis, John; Willis, James E., III – InSight: A Journal of Scholarly Teaching, 2019
The idea of learning analytics has become popularized within higher education, yet many educators are uncertain about what is entailed when implementing these technologies into practice. The following article serves as an overview to the field of learning analytics for faculty, educators for whom the expectations to use these technologies…
Descriptors: Learning Analytics, Higher Education, Definitions, Student Evaluation
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Stewardson, Gary A.; Robinson, Trevor P.; Furse, Joseph S.; Pate, Michael L. – International Journal of Technology and Design Education, 2019
Millions of dollars and countless hours of effort have been invested by school leaders and other stakeholders worldwide seeking to increase students' enthusiasm toward science, technology, engineering, and mathematics through educational robotics competitions. The largest of these competitions is the VEX Robotics Competition (VRC). Little research…
Descriptors: Robotics, Correlation, Competition, Self Efficacy
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Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
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Knutson, Cassandra M.; Hilker, Abby P.; Tolstyka, Zachary P.; Anderson, Constance B.; Wilbon, Perry A.; Mathers, Robert T.; Wentzel, Michael T.; Perkins, Angela L.; Wissinger, Jane E. – Journal of Chemical Education, 2019
A versatile experiment is described for the high school and college laboratory setting based on the synthesis of biobased polymers prepared from inexpensive, renewable, and nonhazardous chemicals. Combinations of readily available citric acid, glycerol, and tapioca root starch are used to prepare three polymeric materials with different observable…
Descriptors: Secondary School Science, College Science, Chemistry, Science Experiments
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Prinsloo, Paul – British Journal of Educational Technology, 2019
Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…
Descriptors: Learning Analytics, Data Collection, Data Analysis, Measurement
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Escott, Hugh; Pahl, Kate – Discourse: Studies in the Cultural Politics of Education, 2019
This article examines young people's films to provide insights about language and literacy practices. It offers a heuristic for thinking about how to approach data that is collectively produced. It tries to make sense of new ways of knowing that locate the research in the field rather than in the academic domain. The authors develop a lens for…
Descriptors: Films, Data Collection, Literacy, Cultural Influences
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Kappelhof, Johannes W. S.; De Leeuw, Edith D. – Sociological Methods & Research, 2019
This study investigates the impact of different modes and tailor-made response enhancing measures (TMREM)--such as bilingual interviewers with a shared ethnic background and translated questionnaires--on the measurement of substantive variables in surveys among minority ethnic groups in the Netherlands. It also provides insight into the ability to…
Descriptors: Foreign Countries, Minority Groups, Ethnic Groups, Computation
Fuster Guillen, Doris Elida – Journal of Educational Psychology - Propositos y Representaciones, 2019
This article shows fundamental notions of one of the qualitative research methods, we refer to the hermeneutical phenomenology based on the theories of Van Manen, Raquel Ayala and Miguel Martínez. This approach leads to the description and interpretation of the essence of lived experiences, recognizes the meaning and importance in pedagogy,…
Descriptors: Qualitative Research, Research Methodology, Hermeneutics, Phenomenology
Nellum, Christopher J. – Education Trust-West, 2019
California needs better data on the state's education systems to uncover and remedy systemic, long-standing racial and socioeconomic inequities. To create more just institutions, students, families, policymakers, educators, and advocates need access to quality, disaggregated data that allows them to answer questions about how well the state's…
Descriptors: Equal Education, Evidence Based Practice, Educational Policy, Longitudinal Studies
Anderson, Rachel – Institute for Higher Education Policy, 2019
State longitudinal data systems can be a powerful tool to support student success and spur equity-minded improvement throughout state education systems, but state policymakers must ensure that students' information is safe and secure. In a case study looking at Louisiana's efforts to secure student data, this profile illuminates some of the…
Descriptors: Data Collection, Privacy, Student Records, Data Use
Nicholas Raikes – Research Matters, 2019
Big international assessment organisations like Cambridge Assessment have long held considerable amounts of data. When text is produced digitally, we can do more with it. Surprisingly to many, there have been examples of automatic scoring of extended writing for around 20 years, though what works well in one context may not be applicable in all…
Descriptors: Data Collection, Data Analysis, Evaluation, Technology Uses in Education
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Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
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Garner, Pamela W.; McCarron, Graziella Pagliarulo – Journal of Early Childhood Teacher Education, 2022
Using a constructivist approach to teacher education, the present study compared the learning outcomes of students in two child development courses infused with instruction in how early education and childcare policy is formed, implemented, and applied. The intervention course, however, included a community-based, semester-long early education and…
Descriptors: Leadership, Early Childhood Education, Outcomes of Education, Child Care
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