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Roschelle, Jeremy; Hodkowski, Nicola M. – Digital Promise, 2020
Due to the COVID-19 pandemic, many students are learning remotely or in a hybrid of remote and in-school learning. As a result, most teachers and students are in learning situations where more independent work is assigned to students. There is no research that directly speaks to this unprecedented situation. There is, however, a considerable body…
Descriptors: Educational Research, Homework, Distance Education, Blended Learning
Brewer, R.; Movahedazarhouligh, S. – Journal of Computer Assisted Learning, 2018
As technological advancements continue to revolutionize teaching, the use of technology in both college/university and K-12 classrooms is making flipped learning a trending instructional model. "Flipping" the classroom reverses a traditional model of in-class lecture followed by practice and homework. The roles and responsibilities of…
Descriptors: Blended Learning, Higher Education, Teaching Methods, Educational Quality
Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection