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Mobile Learning Effectiveness in Higher Education

This research investigates mobile learning effectiveness in higher education. Mobile learning is composition of two words Mobile and Learning. In simple words mobile learning is mobility of learners by using mobile technologies in learning environment. Many researches addressed mobile learning but few of them covered mobile learning effectiveness. This study explores mobile learning effectiveness with the help of learning theories and models. Behaviorist, cognitive, humanistic, situational, and mobile learning theories are discussed that elaborate social, psychological, and philosophical aspects of learning.  Detailed evolution of learning is also part of this report that covers the literature of distance learning, electronic learning as well as formal and informal learning. Three effective learning models are taken in consideration: the Garrison’s Community of Inquiry, the Swan’s Interactivity and Online Learning, and the Danaher and his colleagues’ model of mobile learning and teaching evaluation model. Danaher’s model is selected as a conceptual framework of the study that is composed of three elements that are engagement, presence and flexibility. Engagement is the active participation of the learner in learning activities. Presence means being there, physically or mentally, in learning activity or place. Flexibility is how easy and facilitative the system is for teachers and students. These three elements are used to determine mobile learning effectiveness.  Survey method was used as our research approach. Empirical data was collected from Linnaeus University (prev. Växjö University) Sweden, by using two separate questionnaires for students and teachers. Collected data was analyzed with respect to learning theories and the theoretical model. The result reveals the potential of mobile learning as an effective mode of learning in terms of engagement and presence but flexibilty approved to be weaker in mobile learning.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-5949
Date January 2010
CreatorsYaqub, Naveed, Iqbal, Atif
PublisherLinnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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