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d'Alessio, Matthew A.; Lundquist, Loraine L.; Schwartz, Joshua J.; Pedone, Vicki; Pavia, Jenni; Fleck, Jenna – Journal of Geoscience Education, 2019
Online courses can feel isolating and sometimes lack human connections that can motivate students. We developed a fully online geoscience course to build a 'Community of Inquiry' with attention to cognitive, social, and teaching presences. We ran the course using nearly identical materials for 8 semesters (recorded video lectures, labs,…
Descriptors: Online Courses, Geology, Science Instruction, Student Motivation
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Kang, Minseok; Shin, Won sug – Journal of Educational Computing Research, 2015
This study proposes an extended technology acceptance model to predict acceptance of synchronous e-learning by examining relationships among variables associated with factors influencing the technology acceptance of synchronous e-learning. Learners at an online university participated through an online survey; there were 251 respondents in all.…
Descriptors: Foreign Countries, Graduate Students, Student Attitudes, Adoption (Ideas)
Bentz, David T. – ProQuest LLC, 2009
Teaching presence is one of three components of the Community of Inquiry Model proposed by Garrison, Anderson, and Archer (2000). This study examined teaching presence, as measured by the instructional design and organization, and directed facilitation (Shea, Li, Swan, and Pickett, 2005), in a large undergraduate science course, contrasting two…
Descriptors: Video Technology, Instructional Design, Comparative Analysis, Lecture Method
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