Abstract
Micro learning is gradually becoming a common learning mode in massive open online course learning (MOOC). We illustrate a research strategy to formalize and customize micro learning resources in order to meet personal demands at the real time. This smart micro learning environment can be organized by a Software as a Service (SaaS) we newly designed, in which educational data mining technique is mainly employed to understand learners learning behaviors and recognize learning resource features in order to identify potential micro learning solutions. A learner model with regards to internal and external factors is also proposed for personalization in micro MOOC learning context.
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References
King, C., Robinson, A., Vickers, J.: Online education: targeted MOOC captivates students. Nature 505, 26 (2014). doi:10.1038/505026a
Baggaley, J.: MOOC rampant. Distance Educ. 34(3), 368–378 (2013)
Nawrot, I., Doucet, A.: Building engagement for MOOC students, introducing support for time management on online learning platforms. In: Proceeding of WWW 2014 Companion (2014)
Khalil, H., Ebner, M.: MOOCs completion rates and possible methods to improve retention - a literature review. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications (2014)
Stockwell, G.: Investigating learner preparedness for and usage patterns of mobile learning. ReCALL J. Camb. Univ. 20(3), 253–270 (2008)
Guo, P.J., Kim, J., Rubin, R.: How video production affects student engagement: an empirical study of MOOC videos. In: The 1st ACM Conference on Learning at Scale (L@S), Atlanta, Georgia, USA (2014)
Kovachev, D., Cao, Y., Klamma, R., Jarke, M.: Learn-as-you-go, new ways of cloud based micro-learning for the mobile web. In: 10th International Conference on Web-Based Learning, Hongkong, December 2011
Bruck, P.A., Motiwalla, L., Foerster, F.: Mobile learning with micro-content: a framework and evaluation. In: Proceeding of BLED (2012). http://aisel.aisnet.org/bled2012/2
Hug, T., Lindner, M.: ML: emerging concepts, practices and technologies after e-learning. In: Proceedings of Micro Learning 2005, Austria, June 2005
Souza, M.I., Amaral, S.F.D.: Educational microcontent for mobile learning virtual environments. Creative Educ. 5, 672–681 (2014)
Sun, G., Shen, J.: Facilitating social collaboration in mobile cloud-based learning: a teamwork as a service (TaaS) approach. IEEE Trans. Learn. Technol. 7(3), 207–220 (2014)
Beydoun, G.: Formal concept analysis for an e-learning semantic web. Expert Syst. Appli. 36(8), 10952–10961 (2009)
Al-Hmouz, A., Shen, A.J., Al-Hmouz, R., Yan, J.: Modelling and simulation of an adaptive neuro-fuzzy inference system (ANFIS) for mobile learning. IEEE Trans. Learn. Technol. 5(3), 226–237 (2010)
Al-Hmouz, A., Shen, A.J., Yan, J., Al-Hmouz, R.: Enhanced learner model for adaptive mobile learning. In: The 12th International Conference on Information Integration and Web-Based Applications and Service, Paris, France, November 2010
Kay, J., Reimann, P., Diebold, E., Kummerfeld, B.: MOOCs: so many learners, so much potential. IEEE Intell. Syst. 28(3), 70–77 (2013)
Kolb, A.Y., Kolb, A.D.: Learning styles and learning spaces: enhancing experiential learning in higher education. Acad. Manage. Learn. Educ. 4(2), 193–212 (2005)
Bui, D.C., Myerson, J.: The role of working memory abilities in lecture note-taking. Learn. Individ. Differ. 33, 12–22 (2014)
Tortorella, R.A.W., Graf, S.: Personalised mobile learning via an adaptive engine. In: The 12th IEEE International Conference on Advanced Learning Technologies, Roma, July 2012
Christensen, C.M., Aaron, S., Clark, W.: Disruption in education. In: Devlin, M., Larson, R., Meyerson, J. (eds.) The Internet and University, pp. 19--44. Boulder, Colorado: EDUCAUSE Review. https://net.educause.edu/ir/library/pdf/erm0313.pdf
Mark, S., Williams, R., Mackness, J.: Blogs and forums as communication and learning tools in a MOOC. In: The 7th International Conference on Networked Learning, Aalborg, Denmark, May 2010
Romero, C., Ventura, S.: Educational data mining: a review of the state-of-the-art. IEEE Trans. Syst. Man Cybern. C Appli. Rev. 40(6), 601–618 (2010)
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Sun, G., Cui, T., Guo, W., Beydoun, G., Xu, D., Shen, J. (2015). Micro Learning Adaptation in MOOC: A Software as a Service and a Personalized Learner Model. In: Li, F., Klamma, R., Laanpere, M., Zhang, J., Manjón, B., Lau, R. (eds) Advances in Web-Based Learning -- ICWL 2015. ICWL 2015. Lecture Notes in Computer Science(), vol 9412. Springer, Cham. https://doi.org/10.1007/978-3-319-25515-6_16
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DOI: https://doi.org/10.1007/978-3-319-25515-6_16
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