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Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics
Dansby-Giles, Gloria; Edwards, Anthony; Dansby, Jacqueline; Giles, Frank L.; Edwards, J. T. – Online Submission, 2018
As student enrollment has taken a center place in higher education, faculty and administrators are concerned about student retention and success in traditional face-to-face, online and blended courses. This presentation will explore the implications of data mining for predicting relationships between information contained within a learning…
Descriptors: Predictor Variables, Mastery Learning, Accreditation (Institutions), Academic Standards
Harris, Douglas N.; Oliver, Daniel; Liu, Lihan; Balfe, Cathy; Slaughter, Sara; Mattei, Nicholas – National Center for Research on Education Access and Choice, 2020
COVID-19 has become one of the greatest crises ever facing the country. It is also, therefore, one of the greatest crises facing the nation's schools. This brief describes how America's schools have adjusted to operating while their buildings have been shuttered. In particular, how did different types of schools respond in different ways? This…
Descriptors: COVID-19, Pandemics, Coping, School Closing
Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach