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Pistilli, Matthew D.; Heileman, Gregory L. – New Directions for Higher Education, 2017
This chapter provides information on how the promise of analytics can be realized in gateway courses through a combination of good data science and the thoughtful application of outcomes to teaching and learning improvement efforts--especially with and among instructors.
Descriptors: Data Collection, Data Analysis, Introductory Courses, Outcomes of Education
Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron – International Journal of Research & Method in Education, 2017
While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…
Descriptors: Statistical Inference, Statistics, Data, Information Utilization
Gomez, Pablo; Anderson, Autumn R.; Baciero, Ana – Research Ethics, 2017
In the past decade there has been a lot of attention to the quality of the evidence in experimental psychology and in other social and medical sciences. Some have described the current climate as a 'crisis of confidence'. We focus on a specific question: how can we increase the quality of the data in psychology and cognitive neuroscience…
Descriptors: Laboratories, Psychology, Neurosciences, Data
Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Catherine P. Bradshaw; Jonathan Cohen; Dorothy L. Espelage; Maury Nation – School Psychology Review, 2021
School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…
Descriptors: School Safety, Educational Environment, School Psychologists, Role
Wook, Muslihah; Ismail, Suhaila; Yusop, Nurhafizah Moziyana Mohd; Ahmad, Siti Rohaidah; Ahmad, Arniyati – Education and Information Technologies, 2019
Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM…
Descriptors: Data Collection, Data Analysis, Educational Improvement, Undergraduate Students
Lin, Pei-Ying; Lin, Yu-Cheng – Policy Futures in Education, 2019
Over the decades, it is evident that exceptional learners have been excluded from participating in international assessments such as OECD's PISA (Programme for International Student Assessment) due to their disabilities. Drawing on the interdisciplinary theories and perspectives of educational assessment, measurement, and early childhood special…
Descriptors: International Assessment, Early Childhood Education, Disabilities, Educational Assessment
Demchak, MaryAnn; Sutter, Chevonne – Education and Training in Autism and Developmental Disabilities, 2019
Abstract: This study evaluated whether or not teachers of students with severe disabilities reported implementing specific data-based decision guidelines to make instructional decisions (Browder, Liberty, Heller, & D'Huyvetters, 1986; Browder, Demchak, Heller, & King, 1989) following completion of their teacher preparation program. A…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Severe Disabilities
Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Leadership, 2019
The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…
Descriptors: Elementary Secondary Education, Race, Data Collection, Data Analysis
Sattar, Simeen – Journal of Chemical Education, 2019
Pigments, dyes, and transition-metal compounds are made in courses across the undergraduate chemistry curriculum, but student characterization of these compounds' most striking features, their colors, seldom goes beyond verbal descriptions. Affordable, hand-held, fiber-optic reflectance spectrophotometers make it possible to advance students'…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Color
Hewitt, Rachel – Higher Education Policy Institute, 2019
In this new Policy Note, Rachel Hewitt, HEPI's Director of Policy and Advocacy, highlights the need to distinguish between mental health and well-being and calls for more comprehensive data to be made available on the well-being of all those work and study at universities. Key points: (1) The conflation of mental health and well-being is not…
Descriptors: Well Being, Higher Education, Mental Health, Data Collection
National Centre for Vocational Education Research (NCVER), 2019
This report covers Commonwealth and state/territory government-funded training (Commonwealth or state recurrent funding, Commonwealth specific purpose funding or state specific funding). This publication provides a summary of data relating to estimated students, programs, subjects and training providers in Australia's government-funded vocational…
Descriptors: Foreign Countries, Vocational Education, Federal Aid, Federal Programs
Curran, Patrick J.; Georgeson, A. R.; Bauer, Daniel J.; Hussong, Andrea M. – International Journal of Behavioral Development, 2021
Conducting valid and reliable empirical research in the prevention sciences is an inherently difficult and challenging task. Chief among these is the need to obtain numerical scores of underlying theoretical constructs for use in subsequent analysis. This challenge is further exacerbated by the increasingly common need to consider multiple…
Descriptors: Psychometrics, Scoring, Prevention, Scores
Bishop, Wade; Collier, Hannah; Orehek, Ashley Marie; Ihli, Monica – Issues in Science and Technology Librarianship, 2021
As many sciences move to be more data-intensive, some science librarians are offering more research data services and perform research data management roles. Job analyses provide insight and context to the tasks employees actually do versus what their job descriptions depict or employers assume. Two separate job analyses studies investigated the…
Descriptors: Research Universities, Academic Libraries, Library Role, Librarians

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