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da Silva, Lidia M.; Dias, Lucas P. S.; Barbosa, Jorge L. V.; Rigo, Sandro J.; dos Anjos, Julio C. S.; Geyer, Claudio F. R.; Leithardt, Valderi R. Q. – Informatics in Education, 2022
Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the analysis of this data allows useful information discoveries to improve learning and assist…
Descriptors: Learning Analytics, Cooperative Learning, Distance Education, Electronic Learning
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Turnbull, Darren; Chugh, Ritesh; Luck, Jo – International Journal of Research & Method in Education, 2021
Education is seen as an important vehicle to foster relationships with countries in the Asia-Pacific region -- particularly with Australia's most important economic partner, China. There are many prior studies that have explored the impact of Learning Management Systems (LMSs) on users, through a variety of research designs. However, the diversity…
Descriptors: Integrated Learning Systems, Electronic Learning, Online Courses, Educational Research
Araka, Eric; Maina, Elizaphan; Gitonga, Rhoda; Oboko, Robert – Research and Practice in Technology Enhanced Learning, 2020
For the last one decade, research in self-regulated learning (SRL) and educational psychology has proliferated. Researchers and educators have focused on how to support leaners grow their SRL skills on both face-to-face and e-learning environments. In addition, recent studies and meta-analysis have greatly contributed to the domain knowledge on…
Descriptors: Educational Trends, Educational Research, Independent Study, Electronic Learning
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Holloway, Kristine – Journal of Electronic Resources Librarianship, 2020
The legal and ethical use of Big Data and Learning Analytics in academic libraries has been widely debated. Analyzing large data sets has tremendous potential for libraries to implement changes that help students and prove the library's value to the university. The librarian's role in safeguarding patron privacy in a university setting where…
Descriptors: Compliance (Legal), Ethics, Learning Analytics, Data Use
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Fischer, Christian; Pardos, Zachary A.; Baker, Ryan Shaun; Williams, Joseph Jay; Smyth, Padhraic; Yu, Renzhe; Slater, Stefan; Baker, Rachel; Warschauer, Mark – Review of Research in Education, 2020
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…
Descriptors: Data Analysis, Data Collection, Decision Making, Instructional Effectiveness
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Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
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Berg, Alan M.; Mol, Stefan T.; Kismihók, Gábor; Sclater, Niall – Journal of Learning Analytics, 2016
This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
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Avella, John T.; Kebritchi, Mansureh; Nunn, Sandra G.; Kanai, Therese – Online Learning, 2016
Higher education for the 21st century continues to promote discoveries in the field through learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' attention from clearly identifying requirements and implications of using LA in higher education. LA is a promising emerging field, yet higher education stakeholders…
Descriptors: Higher Education, Literature Reviews, Data Collection, Data Analysis