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Factors Affecting a Mobile Learning System: A Case Study

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Abstract

The emergence of m-learning, i.e., mobile learning, has given further strength to traditional teaching and method, as it has a great advantage in social interaction, teaching/learning methods, and knowledge transformation. The m-learning cannot be an alternative to the traditional teaching methods, but a technical facet of new teaching and learning. It is alternative to the e-learning, but with many major changes. A learner plays a very critical role in any learning environment. Learner, as a factor of m-learning, also makes certain impact on m-learning environment. Learning objectives are impacted by different attributes of the student and influences the way in which learning happens. The characteristics of the learner play a vital role in determining whether or not the learning experience is meaningful. Understanding of these learner characteristics is dynamic and a complex process. This chapter will discover the factors that make an impact on m-learning system, and then it analyzes roles of a learner and their contribution to m-learning.

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Correspondence to Sudhindra B. Deshpande .

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Deshpande, S.B., Mngalwede, S.R., Dandannavar, P. (2020). Factors Affecting a Mobile Learning System: A Case Study. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C. (eds) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-19562-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-19562-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19561-8

  • Online ISBN: 978-3-030-19562-5

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