Educational exploration based on conceptual networks generated by students and Wikipedia linkage
Lauri Lahti, Aalto University, Finland, Finland
EdMedia + Innovate Learning, in Tampere, Finland ISBN 978-1-939797-08-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract: We propose a new educational framework for educational exploration based on conceptual networks generated and explored by students supplied with Wikipedia linkage. In the first experimental setups we had a group of students (n=103) to create high-frequency lists of word and links between words, and in the second experimental setup we had another group of students (n=49) to explore a subsection of hyperlink network of the Wikipedia corresponding to conceptual networks generated by students in the first experimental setup. We report findings based on comparison of word lists and conceptual networks generated by students, vocabulary ranking of British National Corpus, hyperlink network structure of the Wikipedia and exploration paths of students in the hyperlink network of the Wikipedia.
Lahti, L. (2014). Educational exploration based on conceptual networks generated by students and Wikipedia linkage. In J. Viteli & M. Leikomaa (Eds.), Proceedings of EdMedia 2014--World Conference on Educational Media and Technology (pp. 964-974). Tampere, Finland: Association for the Advancement of Computing in Education (AACE). Retrieved January 21, 2019 from https://www.learntechlib.org/primary/p/147608/.
© 2014 Association for the Advancement of Computing in Education (AACE)
- Acuña, D., & Parada, V. (2010). People efficiently explore the solution space of the computationally intractable traveling salesman problem to find near-optimal tours. Public Library of Science ONE (PLoS One), 5(7), e11685.
- Bruss, F. (1984). A unified approach to a class of best choice problems with an unknown number of options. Annals of Probability, 12(3), 882-889.
- Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186-198.
- Cohen, R., & Havlin, S. (2003). Scale-free networks are ultrasmall. Physical Review Letters 90(5):058701.
- Costa, V., & Averbeck, B. (2013). Frontal-parietal and limbic-striatal activity underlies information sampling in the best choice problem. Cerebral Cortex.
- De Deyne, S., & Storms, G. (2008). Word associations: network and semantic properties. Behavior Research Methods, 40, 213-231.
- Duyck, W., Vanderelst, D., Desmet, T., & Hartsuiker, R. (2008). The frequency effect in second-language visual word recognition. Psychonomic Bulletin& Review, 15(4), 850-855.
- Easley, D., & Kleinberg, J. (2010). Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge University Press. Http://www.cs.cornell.edu/home/kleinber/networks-book/ Ellis, A., & Lambon R. (2000). Age of acquisition effects in adult lexical processing reflect loss of plasticity in maturing systems: insights from connectionist networks. Journal of Experimental Psychology: Learning, Memory and Cognition, 26, 1103-1123.
- Franceschetti, M., & Meester, R. (2006). Navigation in small-world networks: a scale-free continuum model. Journal of Applied Probability, 43(4), 1173-1180.
- Ingawale, M., Dutta, A., Roy, R., & Seetharaman, P. (2009). The small worlds of Wikipedia: implications for growth, quality and sustainability of collaborative knowledge networks. Proc. Americas Conference on Information Systems (AMCIS 2009).
- Izura, C., & Ellis, A. (2002). Age of acquisition effects in word recognition and production in first and second languages. Psicológica, 23, 245-281. Http://www.uv.es/revispsi/articulos2.02/4.IZURA%26ELLIS.pdf Kilgarriff, A. (1997). Putting frequencies in the dictionary. International Journal of Lexicography 10(2), 135155.
- Landauer, T., & Bjork, R. (1978). Optimum rehearsal patterns and name learning. In M.M. Grunberg, M., Morris, P., & Sykes, R. (eds.), Practical aspects of memory. Academic Press, London, UK.
- Laufer, B. (1989). What percentage of text-lexis is essential for comprehension? In Lauren, C. & Nordman, M. (eds.), Special Language: From Humans Thinking to Thinking Machines. Multilingual Matters, Clevedon, UK.
- Liben-Nowell, D., Novak, J., Kumar, R., Raghavan, P., & Tomkins, A. (2005). Geographic routing in social networks. Proc. National Academy of Sciences (PNAS), 102(33), 11623-11628.
- Masucci, A., Kalampokis, A., Eguíluz, V., & Hernández-García, E. (2011). Wikipedia information flow analysis reveals the scale-free architecture of the semantic space. Public Library of Science ONE (PLoS ONE), 6(2), e17333.
- Zlatic, V., Bozicevic, M., Stefancic, H., & Domazet, M. (2006). Wikipedias as complex networks. Physical Review E 74, 016115 (2006). Http://cdsweb.cern.ch/record/931270/files/0602149.pdf?version=1
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