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Xiaolu Liu; Jingwen Liu; Rachel Gurvitch; Yonggi Son – AERA Online Paper Repository, 2024
This study aimed to examine pre-service physical education teachers' (PPETs) subjective theories of assessment as they formed prior to the professional training of assessment during PETE. Using a phenomenological approach, 11 PPETs were interviewed. Data were analyzed in Nvivo 12. Findings revealed that (a) PPETs understood assessment as data…
Descriptors: Preservice Teachers, Physical Education Teachers, Student Attitudes, Student Evaluation
Amanda Haddow; Daniel Edwards; Lorissa Hazelman – Australian Council for Educational Research, 2024
United Nations Sustainable Development Goal (SDG) 4 aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. SDG 4 includes 10 targets, of which Target 4.b aims to expand higher education scholarships for developing countries. Target 4.b leverages the benefits of international education to…
Descriptors: Scholarships, Higher Education, Developing Nations, International Educational Exchange
Shauna McGee – Eye on Education, 2024
This exciting new book provides school leaders with a highly effective framework for culturally responsive and equity-driven leadership. School culture is how you lead, how your core values are represented in the work you do daily, and how stakeholders are impacted by what you choose. Author and educator Shauna McGee helps you grapple with the…
Descriptors: Leadership Styles, Cultural Relevance, Equal Education, Cultural Awareness
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David Joyner, Editor; Benjamin Paaßen, Editor; Carrie Demmans Epp, Editor – International Educational Data Mining Society, 2024
The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…
Descriptors: Data Analysis, Pattern Recognition, Technology Uses in Education, Artificial Intelligence
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Chenguang Pan; Zhou Zhang – International Educational Data Mining Society, 2024
There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…
Descriptors: High School Students, Dropouts, Dropout Characteristics, Artificial Intelligence
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Conrad Borchers; Yinuo Xu; Zachary A. Pardos – International Educational Data Mining Society, 2024
Educational data mining increasingly leverages enrollment data for higher education applications. However, these data describe final end-of-semester course selections, not the often complex enrollment activities leading up to a finalized schedule. Fine-grain transaction data of student waitlist, add, and drop actions during academic semester…
Descriptors: College Enrollment, Student Behavior, Enrollment Trends, Decision Making
Ashley Taconet; Shannon Langdon; Christopher Esposito; Valerie L. Mazzotti; Mary E. Morningstar; Allison Lombardi – Intervention in School and Clinic, 2024
College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…
Descriptors: Students with Disabilities, Career Readiness, College Readiness, Individualized Education Programs
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Codish, David; Rabin, Eyal; Ravid, Gilad – Interactive Learning Environments, 2019
Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a…
Descriptors: Integrated Learning Systems, Case Studies, Behavior Patterns, Learning Analytics
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Barnes, Nicole; Fives, Helenrose; Brighton, Catherine M.; Moon, Tonya R. – Elementary School Journal, 2019
The purpose of this investigation was to explore elementary teachers' beliefs about data and data use. Archived data from 2 research projects were used to address the following research questions: What are kindergarten and fifth-grade literacy teachers' beliefs about data and data use? What functions do the beliefs serve in teachers' actual use of…
Descriptors: Elementary School Teachers, Literacy Education, Teacher Attitudes, Beliefs
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Hushman, Glenn Foster; Hushman, Carolyn J.; Gaudreault, Karen Lux – AERA Online Paper Repository, 2019
Lawson (1983a) offered that an individuals' experiences as students in schools are significant in shaping their views of teaching. Pajares (1992) argued that a teacher's perceptions of the classroom are a product of their experiences as students. The purpose of this study was to examine the relationship between physical education (PE) pre-service…
Descriptors: Physical Education Teachers, Preservice Teachers, Student Attitudes, Student Evaluation
Advance CTE: State Leaders Connecting Learning to Work, 2019
A strong, well-aligned data system allows State CTE [Career Technical Education] Directors and other state leaders to answer critical questions about the quality of their CTE programs and whether learners are participating and succeeding equitably. But today's state data systems are not meeting the need for data-informed decision making.…
Descriptors: Vocational Education, Data, Information Systems, Data Use
Anderson, Rachel – Institute for Higher Education Policy, 2019
State longitudinal data systems can be a powerful tool to support student success and spur equity-minded improvement throughout state education systems, but state policymakers must ensure that students' information is safe and secure. In a case study looking at Louisiana's efforts to secure student data, this profile illuminates some of the…
Descriptors: Data Collection, Privacy, Student Records, Data Use
Nicholas Raikes – Research Matters, 2019
Big international assessment organisations like Cambridge Assessment have long held considerable amounts of data. When text is produced digitally, we can do more with it. Surprisingly to many, there have been examples of automatic scoring of extended writing for around 20 years, though what works well in one context may not be applicable in all…
Descriptors: Data Collection, Data Analysis, Evaluation, Technology Uses in Education
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Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
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Anna McDougall; Douglas McKee; George Orlov – Journal of Economic Education, 2025
While the field of economics lacks diversity, there is little consensus on the underlying causes of or most effective solutions to this problem. The authors of this article combine data from the Integrated Postsecondary Education Data System (IPEDS) with data from their own survey of U.S. economics departments to identify institution and…
Descriptors: Student Diversity, Economics Education, Departments, Undergraduate Students
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