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Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
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Kaleli Yilmaz, Gül; Yurtyapan, Mehmet Ihsan – International Online Journal of Education and Teaching, 2021
The aim of this study is to examine the graphic reading and interpretation skills of teacher candidates with problem situations prepared in the context of the COVID-19 pandemic, which is a socio-scientific situation. The study is conducted with case study of qualitative research methods. The participants of the study consisted of 52 elementary…
Descriptors: Preservice Teachers, Preservice Teacher Education, Elementary School Teachers, Mathematics Teachers
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Fullerton, Jon – American Enterprise Institute, 2021
Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…
Descriptors: Academic Achievement, Learning Analytics, Computer Software, Educational Policy
National Coalition on School Diversity, 2021
The benefits of attending diverse schools accrue to children from all racial and socioeconomic backgrounds. The benefits include, but are not limited to, higher academic achievement. These gains continue into adulthood, leading to higher levels of social cohesion and civic engagement; reduced racial prejudice; and less segregation in…
Descriptors: School Desegregation, Elementary Secondary Education, Educational Policy, Diversity (Institutional)
Early Childhood Technical Assistance Center, 2021
This document includes guidance, considerations, and resources for state staff and local practitioners who are determining Preschool Special Education eligibility remotely, due in part to COVID-19. To accomplish this, many states are now exploring a variety of approaches such as teleconference, videoconference, and sharing information and video…
Descriptors: Eligibility, Preschool Education, Special Education, Identification
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Jing Liu; Julie Cohen – Educational Evaluation and Policy Analysis, 2021
Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers. Using nearly 1,000 word-to-word transcriptions of fourth- and fifth-grade English language arts classes, we apply novel text-as-data methods to develop automated measures of teaching to complement classroom observations…
Descriptors: Grade 4, Grade 5, Language Arts, Elementary School Teachers
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Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use
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Maya Usher; Arnon Hershkovitz; Alona Forkosh-Baruch – British Journal of Educational Technology, 2021
The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…
Descriptors: College Faculty, COVID-19, Pandemics, Distance Education
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Taylor, Jason L.; Martineau, Mike – New Directions for Institutional Research, 2019
Decades of research suggest that faculty play a critical role in student learning and success, yet at many institutions, faculty are not integrated into the institutional research function. This chapter examines how institutional research and faculty can collaborate to encourage data-informed faculty decision-making to drive student success and…
Descriptors: Academic Achievement, College Faculty, Teacher Role, Decision Making
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Cubarrubia, Archie; Le, Michael – New Directions for Institutional Research, 2019
In this chapter, we explore the contexts within which institutional researchers must try to ensure the ethical use of data. We also identify challenges institutional research professionals can face when navigating college culture while trying to ensure the ethical use of data. Finally, we identify potential solutions for improving institutional…
Descriptors: Institutional Research, Educational Research, Ethics, Data Use
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Debo, Justin; Podeschi, R. J. – Information Systems Education Journal, 2019
With the emergence of big data as a strategic weapon in business, the need for hands-on activities in undergraduate courses is essential for preparing the next wave of technical talent. As the availability of programs in data analytics and data science grows based on market demands, the need for foundational technical skills is important to equip…
Descriptors: Data Analysis, Undergraduate Students, Information Systems, Business
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Wood-Doughty, Alex; Bergstrom, Ted; Steigerwald, Douglas G. – College & Research Libraries, 2019
Download rates of academic journals have joined citation counts as commonly used indicators of the value of journal subscriptions. While citations reflect worldwide influence, the value of a journal subscription to a single library is more reliably measured by the rate at which it is downloaded by local users. If reported download rates accurately…
Descriptors: Information Retrieval, Periodicals, Citations (References), Electronic Libraries
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