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Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
Attendance Works, 2021
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role
Attendance Works, 2020
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role
Matranga, Anthony; Silverman, Jason; Koku, Emmanuel; Klein, Valerie; Shumar, Wesley – Journal of Interactive Learning Research, 2020
Teacher professional development (PD) that supports the emergence of professional learning communities (PLCs) is effective for teachers' learning and instructional improvement. Our work focuses on supporting the emergence of online PLCs and an emergent issue in this work is how to maintain the quality of teachers' experiences in online PLCs when…
Descriptors: Faculty Development, Online Courses, Educational Technology, Program Effectiveness
Koppich, Julia E. – Policy Analysis for California Education, PACE, 2020
Equity is the consistent thread that runs through major California education policies of the last decade, which have focused on providing access and opportunity tailored to students' needs in order to reduce disparities in learning outcomes. Equity challenges, already significant prior to COVID-19, have been exacerbated by the pandemic's education…
Descriptors: Equal Education, Educational Policy, At Risk Students, Student Needs
Kenyatta, Candace – Region 8 Comprehensive Center, 2021
The Diversifying the Education Profession Ohio Taskforce consists of aspiring teachers, K-12 educators, human resources personnel, educator preparation program representatives, community members, State Board of Education representation, and staff members from the Ohio Department of Education and Ohio Department of Higher Education and convened to…
Descriptors: Student Needs, Student Diversity, Elementary Secondary Education, Faculty Development
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

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