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Grodoski, Chris – Art Education, 2018
Storing data and interpreting data are two very different endeavors; interpreting data is necessary for its transformation into actionable knowledge and new questions. On its own, data are not meaningful information. However, data visualization, like art making, offers another means to create order from chaos; it is an opportunity to identify…
Descriptors: Art Education, Data, Visual Aids, Data Interpretation
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Howell, Parker S.; Howell, Scott L. – Online Journal of Distance Learning Administration, 2018
The National Student Clearinghouse (NSC) has available for research a large data warehouse of enrollment and graduation information from 1993 to the present for nearly all postsecondary students in the United States. In this most recent academic year, 18 million currently enrolled students alone were added to the database. Some of the following…
Descriptors: Databases, Clearinghouses, Strategic Planning, Marketing
Polikoff, Morgan – Center on Children and Families at Brookings, 2018
There is increasing momentum behind the idea that curriculum materials, including textbooks, represent a powerful lever for education reform. As funders are lining up and state leaders are increasing their policy attention on curriculum materials, this report discusses the very real challenges of this effort. The report draws on my experience over…
Descriptors: Instructional Materials, Textbooks, Educational Change, School Districts
Jackson, Jacob; Cook, Kevin – Public Policy Institute of California, 2018
Higher education is a key driver of economic mobility and future growth in California. Yet there is much unknown about how students advance from K-12 schools to postsecondary education and into the workforce--and where they falter. This lack of knowledge stems from the fragmented nature of California's education data and inhibits informed decision…
Descriptors: Data Use, Information Systems, Longitudinal Studies, State Programs
Vista, Alvin; Kim, Helyn; Care, Esther – Center for Universal Education at The Brookings Institution, 2018
The changes in the economy and society in this century have placed a greater emphasis on the skills that citizens need to be successful. This diverse set of skills, often referred to as 21st century skills, and including critical thinking, creativity, problem solving, communication, and socio-emotional skills, among others, are in high demand as…
Descriptors: Data Use, 21st Century Skills, Educational Assessment, Decision Making
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van Zyl, André; Dampier, Graham; Ngwenya, Nkosini – Journal of Student Affairs in Africa, 2020
Low levels of student success in South Africa have persisted as a seemingly intractable problem. There have been some gains in student success over time, but with a participation rate of approximately 18%, the current success rates still represent massive financial and human losses to the country. Internationally there is a trend to move towards…
Descriptors: Foreign Countries, Academic Achievement, College Students, Intervention
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Baig, Maria Ijaz; Shuib, Liyana; Yadegaridehkordi, Elaheh – International Journal of Educational Technology in Higher Education, 2020
Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data…
Descriptors: Educational Research, Educational Trends, Learning Analytics, Student Behavior
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Chen, Fu; Cui, Ying – Journal of Educational Data Mining, 2020
Effective learning outcome modeling is crucial to the success of learning evaluation in education. In the digital age, the movement towards online learning and computerized assessments has resulted in an explosion of structured and unstructured educational data (e.g., learners' problem-solving process data), which offers new opportunities for…
Descriptors: Models, Outcomes of Education, Data Analysis, Psychometrics
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Bishop, Bradley Wade; Borden, Rose M. – portal: Libraries and the Academy, 2020
This study investigates scientists' data needs to provide a basis for professionals in research data management (RDM) to tailor services to meet those needs. Eighty-one participants completed a survey after they had asked a question at a Data Help Desk staffed by data management professionals at one of two science conferences. The qualitative…
Descriptors: Scientists, Data, Information Management, Information Needs
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Papaneophytou, Christos – Biochemistry and Molecular Biology Education, 2020
This article describes a straightforward approach to deliver an enzyme assay and kinetics laboratory via online delivery methods in the time of COVID-19.
Descriptors: Biochemistry, Kinetics, Science Laboratories, Laboratory Experiments
Karimi, Goran – Journal of Educational Psychology - Propositos y Representaciones, 2020
The key factor in creating value in companies and banks is the capital structure and financing method so that companies are moving towards creating value through debt control and the use of proper financing. Therefore, the present study was conducted to investigate the effect of financial leverage on the stock price volatility trend in listed…
Descriptors: Foreign Countries, Corporations, Debt (Financial), Money Management
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Tormey, Roland; Hardebolle, Cécile; Pinto, Francisco; Jermann, Patrick – Assessment & Evaluation in Higher Education, 2020
Although it is frequently claimed that learning analytics can improve self-evaluation and self-regulated learning by students, most learning analytics tools appear to have been developed as a response to existing data rather than with a clear pedagogical model. As a result there is little evidence of impact on learning. Even fewer learning…
Descriptors: Design, Learning Analytics, Self Evaluation (Individuals), Student Evaluation
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Koster, Jeremy; Leckie, George; Aven, Brandy – Field Methods, 2020
The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…
Descriptors: Statistical Analysis, Computer Software, Hierarchical Linear Modeling, Social Networks
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Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
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Martinez-Maldonado, Roberto; Schulte, Jurgen; Echeverria, Vanessa; Gopalan, Yuveena; Shum, Simon Buckingham – Journal of Computer Assisted Learning, 2020
The term "Classroom Proxemics" refers to how teachers and students use classroom space, and the impact of this and the spatial design on learning and teaching. This study addresses the divide between, on the one hand, substantial work on proxemics based on classroom observations and, on the other hand, emerging work to design automated…
Descriptors: Space Utilization, Classroom Design, Learning Analytics, Visualization
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