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Arts Education Partnership, 2024
The Arts Education Partnership's (AEP) Data Working Group first convened in 2023 to examine arts education data collection and reporting at the national, state, regional and local levels. The group's goal was to discover where data are being collected and reported and where gaps in data still exist. The group was especially interested in data that…
Descriptors: Art Education, Partnerships in Education, Data Collection, Access to Education
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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
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Wellington, Angela; Easton, Genevieve; Davis, James; Yeh, Andy – Teaching Science, 2020
An important element of STEAM education that teachers struggle with is the adoption and application of digital technologies. Digital technologies have the potential to enhance social inclusion and student-centred learning, and for this reason it is important for teachers across all levels of schooling to develop skills and confidence in this area…
Descriptors: STEM Education, Art Education, Interdisciplinary Approach, Teaching Methods
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McGowan, Bethany S. – portal: Libraries and the Academy, 2020
Activities using volunteered geographic information (VGI), geospatial data generated by nonprofessionals, provide an instructional approach that allows participants to work with big data--large, complex data sets--in a noncompetitive, cooperative environment. Research suggests that humanitarian mapping activities offer an effective means of…
Descriptors: Student Motivation, Student Participation, Geographic Information Systems, Web 2.0 Technologies
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Strong, Kimberly Ann; Escamilla, Kathy – Bilingual Research Journal, 2020
Federal law requires states and school districts to institute accountability systems that report disaggregated student data to ensure that all children make academic progress. However, one of the mandated categories for disaggregation -- English Learner (EL) -- is reported as a single group despite representing students who are beginning,…
Descriptors: Language Proficiency, Accountability, Academic Achievement, English Language Learners
Agustina S. Paglayan – Annenberg Institute for School Reform at Brown University, 2020
Because primary education is often conceptualized as a pro-poor redistributive policy, a common argument is that democratization increases its provision. But primary education can also serve the goals of autocrats, including redistribution, promoting loyalty, nation-building, and/or industrialization. To examine the relationship between…
Descriptors: Mass Instruction, Elementary Education, Role of Education, Democratic Values
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Holland, Natalie; Houghton, Ann-Marie; Armstrong, Jo; Mashiter, Claire – Studies in Continuing Education, 2017
When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform…
Descriptors: Access to Education, Data, Information Utilization, Foreign Countries
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Lodge, Jason M.; Alhadad, Sakinah S. J.; Lewis, Melinda J.; Gaševic, Dragan – Technology, Knowledge and Learning, 2017
The use of big data in higher education has evolved rapidly with a focus on the practical application of new tools and methods for supporting learning. In this paper, we depart from the core emphasis on application and delve into a mostly neglected aspect of the big data conversation in higher education. Drawing on developments in cognate…
Descriptors: Statistical Inference, Data Interpretation, Interdisciplinary Approach, Higher Education
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Paradice, David – Education, 2017
This paper describes the construction and descriptive analysis of a data set of United States school shooting events. Three hundred forty-three shooting events are included, spanning 175 years of United States educational history. All levels of US educational institution are included. Events are included when a firearm is discharged, regardless of…
Descriptors: Statistical Data, Data Analysis, Violence, Weapons
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McGill, Ryan J. – International Journal of School & Educational Psychology, 2017
For the appraisal of single-case intervention data, school psychologists have been encouraged to focus most, if not all, of their interpretive weight on the visual inspection of graphed data. However, existing software programs provide practitioners with limited features for systematic visual inspection. R (R Development Core Team, 2014) is a…
Descriptors: Intervention, Data, Graphs, Computer Software
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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
National College Access Network, 2016
The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…
Descriptors: Information Management, Data, Data Collection, Systems Approach
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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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