Abstract
Concepts naturally have linkages with each other. Their relationships may not be so obvious to students if they are located in different learning sessions. Systematic knowledge management is desirable in learning with the use of technology in which we could control and represent knowledge with different types of connections. This paper introduces a new learning approach supported by the concept of a Knowledge Cluster. A Knowledge Cluster facilitates learning of concepts with focus on understanding the relationship of concepts across different topics, sessions and courses.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ormrod, J.E., Davis, K.M.: Human learning. Merrill (2004)
Fodor, J.: Concepts: Where Cognitive Science Went Wrong. Oxford University Press, New York (1998)
Kenny, A.: Concepts, Brains, and Behaviour. Grazer Philosophische Studien 81(1) (2010)
Peacocke, C.: A study of concepts. The MIT Press (1992)
Concepts: Stanford Encyclopedia of Philosophy. Metaphysics Research Lab at Stanford University, http://plato.stanford.edu/entries/concepts/
Novak, J.D.: Learning, creating, and using knowledge: Concept maps as facilitative tools in schools and corporations. Routledge (2010)
Biggs, J.: What the student does: teaching for enhanced learning. Higher Education Research & Development 18(1), 57–75 (1999)
Valenzeno, L., Alibali, M.W., Klatzky, R.: Teachers’ gestures facilitate students’ learning: A lesson in symmetry. Contemporary Educational Psychology 28(2), 187–204 (2003)
Savery, J.R., Duffy, T.M.: Problem based learning: An instructional model and its constructivist framework. Educational Technology 35(5), 31–38 (1995)
Peacocke, C.: Interrelations: Concepts, knowledge, reference and structure. Mind & Language 19(1), 85–98 (2004)
Bransford, J.D., Brown, A.L., Cocking, R.: How People Learn: Brain, Mind, Experience, and School. National Academy Press, Washington (2000)
Willis, C.L., Miertschin, S.L.: Mind maps as active learning tools. Journal of Computing Sciences in Colleges 21(4), 266–272 (2006)
Priestley, M.: DITA XML: A reuse by reference architecture for technical documentation. In: Proceedings of the 19th Annual International Conference on Computer Documentation, pp. 152–156. ACM (2001)
Soller, A.: Supporting social interaction in an intelligent collaborative learning system. International Journal of Artificial Intelligence in Education (IJAIED) 12, 40–62 (2001)
Markovitch, S., Scott, P.D.: The Role of Forgetting in Learning. ML, 459–465 (1988)
Dunaway, M.K.: Connectivism: Learning theory and pedagogical practice for networked information landscapes. Reference Services Review 39(4), 675–685 (2011)
Hiltz, S.R., Wellman, B.: Asynchronous learning networks as a virtual classroom. Communications of the ACM 40(9), 44–49 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Chan, Wl., Kwok, Lf. (2014). Developing Knowledge Clusters in a Supportive Learning Environment. In: Cheung, S.K.S., Fong, J., Zhang, J., Kwan, R., Kwok, L.F. (eds) Hybrid Learning. Theory and Practice. ICHL 2014. Lecture Notes in Computer Science, vol 8595. Springer, Cham. https://doi.org/10.1007/978-3-319-08961-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-08961-4_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08960-7
Online ISBN: 978-3-319-08961-4
eBook Packages: Computer ScienceComputer Science (R0)