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Xu Li; Wee Hoe Tan; Yu Bin; Peng Yang; Qiancheng Yang; Taukim Xu – Education and Information Technologies, 2025
Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Physical Education, Curriculum
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Gillian Parekh; Robert S. Brown; David Walters; Ryan Collis; Naleni Jacob – Canadian Journal of Higher Education, 2025
In Canada, access to post-secondary education (PSE), which includes university, college, or apprenticeship programs, is becoming ever more important in terms of securing future employment, long-term health, and economic security. Kirby (2009) points to Canada's universal level of PSE access; however, also notes how access for students with…
Descriptors: Foreign Countries, Barriers, Costs, Postsecondary Education
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Conrad Borchers; Clémence Darriet; Joshua M. Rosenberg; Francesca López – TechTrends: Linking Research and Practice to Improve Learning, 2025
Public Internet Data Mining methods enable studying educational institutions' public-facing communication. Multiple online data sources can illuminate differences in how different audiences are addressed online, opening the door for critical inquiry into emerging issues of representation and targeted advertising. The present study presents a case…
Descriptors: School Districts, Advertising, Social Media, Web Sites
UK Department for Education, 2025
The Working lives of teachers and leaders (WLTL) is a longitudinal study intended to run for at least five years, up to 2026. It is intended to provide a representative picture of the experiences of teachers and leaders in state schools in England. The third wave was carried out in Spring 2024. The first wave was carried out in Spring 2022. The…
Descriptors: Foreign Countries, Longitudinal Studies, Teacher Supply and Demand, Teacher Recruitment
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Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H. – International Journal of Distance Education Technologies, 2017
Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…
Descriptors: Online Courses, Student Records, Learning Strategies, Cognitive Style
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Alase, Abayomi – International Journal of Education and Literacy Studies, 2017
As a research methodology, qualitative research method infuses an added advantage to the exploratory capability that researchers need to explore and investigate their research studies. Qualitative methodology allows researchers to advance and apply their interpersonal and subjectivity skills to their research exploratory processes. However, in a…
Descriptors: Phenomenology, Qualitative Research, Research Methodology, Semi Structured Interviews
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Millei, Zsuzsa; Gallagher, Jannelle – Early Child Development and Care, 2017
Australian early childhood education still labours with the achievement of universal access and the production of comprehensive and consistent data to underpin a national evidence base. In this article, we attend to the processes led by numbers whereby new practices of quantification, rationalization and reporting are introduced and mastered in a…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Education, Access to Education
Gudivada, Venkat N. – Educational Technology, 2017
Various types of structured data collected by learning management systems such as Moodle have been used to improve student learning outcomes. Learning analytics refers to an assortment of data analysis methods used for this task. These methods typically do not consider unstructured data such as blogs, discussions, e-mail, and course messages.…
Descriptors: Data Collection, Data Analysis, Educational Research, Technology Uses in Education
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Williamson, Ben – E-Learning and Digital Media, 2017
"Education data science" is an emerging methodological field which possesses the algorithm-driven technologies required to generate insights and knowledge from educational big data. This article consists of an analysis of the Lytics Lab, Stanford University's laboratory for research and development in learning analytics, and the Center…
Descriptors: Educational Theories, Educational Research, Data Collection, Data Analysis
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Orta Amaro, José Antonio; Sánchez Sánchez, Ernesto A.; Ramírez-Esperón, María Eugenia – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
The aim of this investigation is to explore the preservice teachers' reasoning about variation (variability or spread) when they analyze data in situations that involve risk. In particular, in this communication the responses to two problems of a questionnaire administered to 96 preservice teachers are reported. The problems are of comparing…
Descriptors: Preservice Teachers, Student Teacher Attitudes, Abstract Reasoning, Data Analysis
Prasad, Vandita – ProQuest LLC, 2017
Career Technology Education (CTE) program evaluations have been mostly completed for compliance and monitoring purposes. Hence, they have limited use in establishing program effectiveness or for program improvement. Moreover, engaging in program evaluations can be time consuming and costly, especially for programs that have not been evaluated in…
Descriptors: Vocational Education, Program Evaluation, Readiness, Public Schools
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Zhu, Jile; Li, Xiang; Wang, Zhuo; Zhang, Ming – International Educational Data Mining Society, 2017
Although millions of students have access to varieties of learning resources on Massive Open Online Courses (MOOCs), they are usually limited to receiving rapid feedback. Providing guidance for students, which enhances the interaction with students, is a promising way to improve learning experience. In this paper, we consider to show students the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
State tests lack the sensitivity and frequency to reflect ongoing academic improvement of students who are well below grade-level proficiency standards. As a result, some states are using screening and progress-monitoring data, collected as part of a multi-tiered system of supports (MTSS) model, to evaluate early student-level progress toward SiMR…
Descriptors: Data Use, Student Evaluation, Screening Tests, Progress Monitoring
National Centre for Vocational Education Research (NCVER), 2017
This publication provides a summary of data relating to students, programs, subjects and training providers in Australia's government-funded vocational education and training (VET) system (defined as all Commonwealth and state/territory government-funded training delivered by technical and further education [TAFE] institutes, other government…
Descriptors: Foreign Countries, Vocational Education, Federal Aid, Statistical Data
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Finkel, Ed – Community College Journal, 2021
In recent years and especially over the past 12 months, with the COVID-19 pandemic and the unrest after the death of George Floyd, community colleges have been making efforts to view and rethink their missions through an equity lens. These efforts have included turning this prism toward institutional operations like student services, human…
Descriptors: Community Colleges, Equal Education, Minority Group Students, Adult Students
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