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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
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Vinagre Laranjeira, Margarita – Research-publishing.net, 2016
In this paper we explore the data gathered from a group of nine in-service teachers who were trained online to become future telecollaborative teachers. Participants from different countries worked in two small groups in a wiki designed specially to facilitate discussion and collaboration. Tasks included reading and reviewing articles on…
Descriptors: Inservice Teacher Education, Electronic Learning, Web Based Instruction, Teacher Collaboration
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Washington, Melvin C.; Okoro, Ephraim A.; Cardon, Peter W. – Business and Professional Communication Quarterly, 2014
We report our survey research about what American business professionals consider appropriate or civil mobile phone behavior during formal and informal meetings. The findings come from two of our recent research studies: an open-ended survey of 204 employees at a beverage distributor on the East Coast and a nationwide, random-sample survey of 350…
Descriptors: Telecommunications, Handheld Devices, Meetings, Surveys
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Liu, Ying Chieh; Burn, Janice M. – Journal of Information Systems Education, 2007
This paper compares the processes of Face-To-Face (FTF) teams and Online Learning Teams (OLTs) and proposes methods to improve the performance of OLTs. An empirical study reviewed the performance of fifteen FTF teams and OLTs and their communication patterns were coded by the TEMPO system developed by Futoran et al. (1989) in order to develop a…
Descriptors: Online Courses, Discourse Analysis, Coding, Guidelines