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Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
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Howell, Joel A.; Roberts, Lynne D.; Seaman, Kristen; Gibson, David C. – Technology, Knowledge and Learning, 2018
Higher education institutions are developing the capacity for learning analytics. However, the technical development of learning analytics has far exceeded the consideration of ethical issues around learning analytics. We examined higher education academics' knowledge, attitudes, and concerns about the use of learning analytics though four focus…
Descriptors: Universities, College Faculty, Teacher Attitudes, Knowledge Level
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Roberts, Lynne D.; Howell, Joel A.; Seaman, Kristen – Technology, Knowledge and Learning, 2017
With the increased capability of learning analytics in higher education, more institutions are developing or implementing student dashboards. Despite the emergence of dashboards as an easy way to present data to students, students have had limited involvement in the dashboard development process. As part of a larger program of research examining…
Descriptors: Higher Education, Data Collection, Data Analysis, Educational Research
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Ifenthaler, Dirk; Widanapathirana, Chathuranga – Technology, Knowledge and Learning, 2014
Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…
Descriptors: Data Analysis, Case Studies, Higher Education, Context Effect
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Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)