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Raman, Preeti; Avery, Teresa; Brett, Clare; Hewitt, James – International Journal of E-Learning & Distance Education, 2020
Growing interest in online learning has instructors looking for new ways to engage learners in asynchronous discussions. Building on experiences with hashtag use to connect on social media platforms, the purpose of this study is to investigate the contexts of hashtag use and its associated impact on learner engagement in asynchronous online…
Descriptors: Social Media, Computer Mediated Communication, Asynchronous Communication, Discussion
Speece, Mark – Online Submission, 2012
Adaptation to customer needs is a key component of competitiveness in any service industry. In online HE (higher education), which is increasingly worldwide, this adaptation must include consideration of learning styles. Most research shows that learning style has little impact on learning outcomes in online education. Nevertheless, students with…
Descriptors: Cognitive Style, Learning Modalities, Cultural Context, Classification
Gaspar, Alessio; Langevin, Sarah; Boyer, Naomi; Armitage, William – Informatics in Education, 2010
This qualitative study explores how using Peer Learning Forums (PLF) in an online asynchronous computer programming course can be analyzed to derive information about Student Activity Focus (SAF) for adult Information Technology students. Three instruments are proposed to assist instructors classify questions posted by students on these forums,…
Descriptors: Asynchronous Communication, Qualitative Research, Learning Activities, Classification
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