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Bengtson, Ed; Lasater, Kara; Albiladi, Waheeb – Education Leadership Review, 2020
The purpose of this study was to examine administrators' use of data, their perceptions of data, and what their expectations were in terms of teacher use of data. In conjunction with this examination will be a closer look at the new Professional Standards for Educational Leaders (PSEL) to determine the connections as well as the disconnections to…
Descriptors: Data Use, Administrator Effectiveness, Administrator Attitudes, Expectation
Makela, Carole J. – Journal of Family and Consumer Sciences, 2016
"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…
Descriptors: Data Analysis, Information Utilization, Data Collection, Consumer Science
Tipton, Elizabeth; Olsen, Robert B. – Educational Researcher, 2018
School-based evaluations of interventions are increasingly common in education research. Ideally, the results of these evaluations are used to make evidence-based policy decisions for students. However, it is difficult to make generalizations from these evaluations because the types of schools included in the studies are typically not selected…
Descriptors: Intervention, Educational Research, Decision Making, Evidence Based Practice
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2021
For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…
Descriptors: Teacher Supply and Demand, Teacher Shortage, Decision Making, State Departments of Education
von Zastrow, Claus; Perez, Zeke, Jr. – Education Commission of the States, 2019
Every U.S. state and the District of Columbia maintain a system to collect and store education data. These systems vary widely in their scope and sophistication -- and, by extension, in their ability to provide information that can guide decision-making. Most states have developed statewide longitudinal data systems, which establish formal…
Descriptors: Data Collection, Elementary Secondary Education, Early Childhood Education, Postsecondary Education
Greene, Kimberly; Hale, William – Journal of Educational Multimedia and Hypermedia, 2017
This paper is an examination of the current state of blended and online learning throughout the K-12 world in the United States. The analysis is predicated upon the potential of electronically-mediated learning (e-learning) to effectively prepare students for the demands of 21st century citizenship through the affordances of such learning…
Descriptors: Elementary Secondary Education, Blended Learning, Online Courses, Educational Technology
Robertson, Judy; Tisdall, E. Kay M. – Journal of Media Literacy Education, 2020
Given the importance of data skills to the economy and the skills shortage within data science, educational policy makers have identified the importance of including technical and analytical data skills in the school curriculum. An equally important aim is to educate children and young people to become "data citizens" who are aware of…
Descriptors: Children, Adolescents, Elementary School Students, Secondary School Students
Swing, Randy L. – Association for Institutional Research, 2016
The need for data-informed decisions is not limited to national policy, state systems, or senior leadership of postsecondary institutions. Decisions that impact the achievement of higher education missions are also made by students, faculty, frontline staff, and program administrators--all of who deserve data and information to support their…
Descriptors: Institutional Research, Information Utilization, Higher Education, Data Collection
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
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
Grace, Christine Cooper – Journal on Excellence in College Teaching, 2018
This article advocates using Leventhal's (1980) justice judgment theory to incorporate distributive and procedural justice into summative assessment of student learning in higher education. It reviews important commonalities between the process of employee performance appraisal in organizations and practices to assess student learning in academe…
Descriptors: Justice, Summative Evaluation, Student Evaluation, College Students
Anderson, Lorin W. – Education Policy Analysis Archives, 2018
In this summary article, six recommendations for the design, implementation, and interpretation of educational evaluations are presented and discussed. These recommendations are based on common "threads" that run through most, if not all, of the papers included in this special issue. The recommendations concern (1) the need for awareness…
Descriptors: Educational Assessment, Evaluation Methods, Program Design, Program Implementation
Kwong, Theresa; Hafiz, Muhammad; Lau, Peter; Chan, Isaac – Journal on Excellence in College Teaching, 2018
Differences in cultural background and prior academic background significantly affect the perception of academic integrity and ethics (AIE) among university students. While upholding the highest standards of AIE is crucial both academically and professionally, such abstract concepts are difficult to teach in the traditional classroom. With mobile…
Descriptors: Integrity, Ethics, Cultural Background, Prior Learning
Bahr, Maria – NADE Digest, 2018
The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…
Descriptors: Accreditation (Institutions), Developmental Studies Programs, Professional Associations, Educational Benefits
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

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