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Ubiquitous Computing in Education: A SWOT Analysis by Students and Teachers
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Örebro University, , Informatics.
2013 (Engelska)Ingår i: 12th World Conference on Mobile and Contextual Learning (mLearn 2013), College of the North Atlantic, Qatar, October 22-24, 2013, QScience , 2013Konferensbidrag (Refereegranskat)
Abstract [en]

Learning from anywhere anytime is a contemporary phenomenon in the field of education that is thought to be flexible, time and cost saving. The phenomenon is evident in the way computer technology mediates knowledge processes among learners. Computer technology is however, in some instances, faulted. There are studies that highlight drawbacks of computer technology use in learning. In this study we aimed at conducting a SWOT analysis on ubiquitous computing and computer-mediated social interaction and their affect on education. Students and teachers were interviewed on the mentioned concepts using focus group interviews. Our contribution in this study is, identifying what teachers and students perceive to be the strength, weaknesses, opportunities and threats of ubiquitous computing and computer-mediated social interaction in education. We also relate the findings with literature and present a common understanding on the SWOT of these concepts. Results show positive perceptions. Respondents revealed that ubiquitous computing and computer-mediated social interaction are important in their education due to advantages such as flexibility, efficiency in terms of cost and time, ability to acquire computer skills. Nevertheless disadvantages where also mentioned for example health effects, privacy and security issues, noise in the learning environment, to

Ort, förlag, år, upplaga, sidor
QScience , 2013.
Nyckelord [en]
Ubiquitous Computing, Education, SWOT, Computer-mediated social interaction
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-148249DOI: 10.5339/qproc.2013.mlearn.18#sthash.UatF1wh6.dpufOAI: oai:DiVA.org:su-148249DiVA: diva2:1150515
Tillgänglig från: 2017-10-19 Skapad: 2017-10-19

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