mLearning and Individualized Learning
Lin Muilenburg, St. Mary’s College of Maryland, United States ; Zane Berge, UMBC, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, Canada ISBN 978-1-880094-76-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Abstract: The semantic web, as some people are attempting to brand Web 3.0, should be tagged and flagged so that machines can make semantic sense of it, similar to how people make sense of language. Web 4.0 will move toward artificial intelligence in the service of a personal learning environment (PLE). Regardless of whether you believe that Web 4.0 will deliver personalized learning or will be just one more iteration of technology’s unfulfilled promise to do so, it is important to consider what can be done with mobile technologies in our schools as we transition from Web 2.0 to 3.0. This paper presents examples of mlearning currently being used, along with brief lesson plans for these. Additionally, it presents some promising thoughts of where mlearning may be headed over the next ten years regarding students’ personal learning networks.
Muilenburg, L. & Berge, Z. (2009). mLearning and Individualized Learning. In T. Bastiaens, J. Dron & C. Xin (Eds.), Proceedings of E-Learn 2009--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1383-1388). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE).
© 2009 Association for the Advancement of Computing in Education (AACE)
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