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Showing 1 to 15 of 757 results Save | Export
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Hanson, Jana M.; Moore, Erica J.; Morseau, Amber; Taylor, Darius D. – Tribal College Journal of American Indian Higher Education, 2023
The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…
Descriptors: Evaluation Methods, Tribally Controlled Education, Minority Serving Institutions, Data Collection
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Jennifer Kahn; Shiyan Jiang – Information and Learning Sciences, 2024
Purpose: While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends. Design/methodology/approach: The authors report on an analysis of three student cases…
Descriptors: Visual Aids, Trend Analysis, Data Science, Secondary School Students
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Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis
Jing Tang; Kara Ulmen; Sara Amadon; Katie Richards; Gabriella Guerra; Ja’Chelle Ball; Carlise King; Dale Richards – Child Trends, 2024
The preschool landscape is complex, consisting of several publicly funded programs supported by federal, state, and local funds. Included in this landscape is Head Start, a critical early childhood education (ECE) program that serves--in every state and territory--young children in families with incomes at or below the federal poverty line,…
Descriptors: Access to Education, Low Income Students, Social Services, Federal Programs
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Richard John Reeves – ProQuest LLC, 2024
Postsecondary Institutions are under pressure to explain their costs. Noninstructional administrative staff represent a significant cost and number of people working in higher education. Postsecondary institutions hire noninstructional staff in response to their specific needs related to educational activity at the institution. Past research on…
Descriptors: School Personnel, Higher Education, School Size, Data Analysis
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Nicole Maestas; Tisamarie B. Sherry; Alexander Strand – Journal of Disability Policy Studies, 2024
Opioid use is common among Social Security Disability Insurance (SSDI) beneficiaries, who account for a disproportionate share of opioid-related hospitalizations and mortality in the United States. However, little is known about the prevalence of opioid use prior to SSDI enrollment. Understanding when opioid use is established and how it…
Descriptors: Drug Use, Narcotics, Welfare Services, Insurance
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Öndes, Rabia Nur – World Journal on Educational Technology: Current Issues, 2021
Dynamic geometry software (DGS), especially GeoGebra, have been used in mathematics lessons around the world since it enables a dynamic learning environment. To date, there exist so many published researches about DGS, which leads to the need for meaningful organisation. This study aims to give a broad picture about researches related to DGS. For…
Descriptors: Trend Analysis, Educational Trends, Geometry, Computer Software
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Imamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
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Wang, Xin; Weng, Xuchu; Pan, Ning; Li, Xiuhong; Lin, Lizi; Jing, Jin – Journal of Autism and Developmental Disorders, 2023
Although the United States (US) have been monitoring the autism spectrum disorder (ASD) prevalence, whether the prevalence has continued to increase, decrease, fluctuate or reached a stable level remained unclear during the COVID-19 pandemic. We have requested the 2016-2021 National Survey of Children's Health (NSCH) data in the United States to…
Descriptors: Autism Spectrum Disorders, Incidence, COVID-19, Pandemics
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Gurcan, Fatih; Cagiltay, Nergiz Ercil – Interactive Learning Environments, 2023
Today's dynamic distance learning environments offer a flexible, comfortable, and lifelong learning experience, independent of space and time. In this way, it also supports and develops existing traditional training programs. The increasing importance of knowledge, skills and learning in today's technological life cycle has led to an increase and…
Descriptors: Educational Research, Trend Analysis, Distance Education, Data Analysis
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Jia, Weichen; Peng, Jun; Cai, Na – Knowledge Management & E-Learning, 2020
Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…
Descriptors: Visualization, Data Analysis, Trend Analysis, Chinese
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Joanna Clifton-Sprigg; Jonathan James – British Educational Research Journal, 2025
Using newly released detailed data on absence from school, we find a 'Friday effect'--children are much less likely to attend schools in England on Fridays. We use daily level data across the whole of England and find that this pattern holds for different schools and for different types of absence, including illness-related authorised and…
Descriptors: Foreign Countries, Attendance Patterns, Student Behavior, Attendance
Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
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Ida Martinez Lunde – Scandinavian Journal of Educational Research, 2024
Learning analytics platforms (LAPs) have become important modes of anticipatory governance in education. Educational futures are governed by utilizing various forms of learning analytics to track student data over time, suggesting that school leaders and teachers are expected to improve school quality by engaging with digital presentations of…
Descriptors: Learning Analytics, Time, Networks, Social Theories
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