___

• Ajiboye, J. & Tella, A. (2007). University undergraduate students’ information seeking behaviour: implications for quality in higher education in Africa. The Turkish Online Journal of
• Educational Technology, 6 (1): 40-52. Retrieved June 5, 2013 from http://www.tojet.net/articles/v6i1/614.pdf
• Alomyan, H. (2004). Individual differences: implications for web-based learning design.
• International Education Journal, 4(4): 188-196. Retrieved June 20, 2013 from http://iej.cjb.net
• Balaji, M. S. & Chakrabarti, D. (2010). Student interactions in online discussion forum: empirical research from ‘media richness theory’ perspective. Journal of Interactive Online
• Learning, 9(1): 1-22. Retrieved June 9, 2013 from http://www.ncolr.org/jiol/issues/pdf/9.1.1.pdf
• Banks, HT., Kareiva, P. M., & Murph, K. (1987). Parameter estimation techniques for interaction and distribution models: a predator-prey example. Oecologia, 74, 356-362.
• Bereiter, C. (1994). Implications of postmodernism for science, or, science as progressive discourse. Educational Psychologist, 29(1), 3-12.
• Bon, A. B. (1980). Optimal foraging in a uniform habitat: the search mechanism of the green lacewing. Animal Behavior, 28, 10-19.
• Bouhnik, D. & Marcus, T. (2005). Interaction in Distance-Learning Courses. Journal of the American Society for Information Science and Technology, 57(3):299–305. DOI: 1002/asi.20277.
• Bousbia, N., Rebaï, I., Labat, J., & Balla, A. (2010). Learners' navigation behavior identification based on trace analysis. User Modeling and User-Adapted Interaction, 20(5): 455-494.
• Burton, L. & Goldsmith, D. (2002). Students’ experiences in online courses: a study using asynchronous online focus groups. Connecticut Distance Learning Consortium. Retrieved June 5, 2013 from http://www.ctdlc.org/ResourceDocs/evaluation/StudentExperience.pdf
• Carbo, J.M., Mor, E., & Minguillion, J. (2005). User navigational behavior in e-learning virtual environments. Proceedings of the 2005 IEEE/WIC/ACM International
• Conference on Web Intelligence (WI’05). Retrieved January 28, 2012 from http://i- learn.uitm.edu.my/resources/journal/j4.pdf
• Chen, S. Y. & Macredie, R. D. (2002). Cognitive Styles and Hypermedia Navigation:
• Development of a Learning Model. Journal of the American Society for Information Science and Technology, 53(1): 3-15. Crist, T. O., Guertin, D. S., Weins, J. A., & Milne, B. T. (1992). Animal movement in heterogeneous landscapes: an experiment with eleodes beetles in shortgrass prairie.
• Functional Ecology, 6, 536-544. Dennen, V.P., Darabi, A. A., & Smith, L.J. (2007). Instructor–Learner Interaction in Online
• Courses: The relative perceived importance of particular instructor actions on performance and satisfaction. Distance Education, 28(1): 65-79. Retrieved June 9, 2013 from http://research.susanconrad.com/wp-content/uploads/2012/07/Dennen-Darabi-and- Smithpdf
• Dillon, C. L., Gunawardena, C. N., & Parker, R. (1992). Learner support: The critical link in distance education. Distance Education, 13(1), 29-45.
• Eveland, W. P. Jr. & Dunwoody, S. (1998). Users and navigation patterns of a science World
• Wide Web Site for the public. Public Understanding of Science 7, 285-311. Gephi.org. (2012). The open graph viz platform. Retrieved June 5, 2013 from https://gephi.org/
• Graf, S., Liu, T.C. & Kinshuk. (2010). Analysis of learners' navigational behaviour and their learning styles in an online course. Journal of Computer Assisted Learning, 26: 116–131. doi: 1111/j.1365-2729.2009.00336.x
• Greenwood, P.J. & Swingland, I.R. (1984). Animal movement: approaches, adaptations, and constraints. In I.R. Swingland and P.J. Greenwood (eds.). The Ecology of Animal Movement.
• Clarendon Press, Oxford. pp 1-6. Herder, E., & Juvina, I. (2004). Discovery of individual user navigation styles. In G. D. Magoulas
• & S. Y. Chen (Eds.), Adaptive Hypermedia AH2004 Workshop on Individual Differences in
• Adaptive Hypermedia. Eindhoven. http://www.ascilite.org.au/conferences/perth04/procs/sims.html Hung, J & Zhang, K. (2008). Revealing online learning behaviors and activity patterns and making predictions with data mining techniques in online teaching. MERLOT Journal in Online
• Learning and Teaching, 4(4): 426-437. Retrieved 31 January 2014 from http://jolt.merlot.org/vol4no4/hung_1208.pdf
• Levin, S. A. (1974). Dispersion and population interactions. American Naturalist, 108, 207-228.
• MacGregor, S. (1999). Hypermedia Navigation Profiles: Cognitive Characteristics and Information Processing Strategies. Journal of Educational Computing Research, 20(2): 189- 20
• McConnell, D. (2006). E-learning groups and communities. Berkshire, England: Open University
• Press. Retrieved 31 January 2014 from http://www.google.com.ph/books?hl=en&lr=&id=nULf91HI6eQC&oi=fnd&pg=PP1&dq=McConnell,+D.+
• (2006).+Elearning+groups+and+communities.+Berkshire,+England:+Open++University+Press&ots=jE8 v-wUAL6&sig=zQV5JYXOxbemjdvMzwpSDDyw3rA&redir_esc=y#v=onepage&q&f=false
• Murdie, G. & Hassell, M.P. (1973). Food distribution, searching success, and predator-prey models. In M.S. Bartlett and R.W. Hiorns. The Mathematical Theory of the Dynamics of
• Biological Populations. Academic Press, London. Pp. 87-101
• Neuhauser, C. (2002), Learning Style and Effectiveness of Online and Face-to-Face Instruction.
• American Journal of Distance Education 16(2), 99-113. Okubo, A. (1980). Diffusion and ecological problems: Mathematical Models. Springer-Verlag, New York.
• Onuoha, U.D. & Awoniyi, A.A. (2011). Comparative analysis of students’ information seeking behaviour in Adventist universities: a survey of Babcock and Solusi Universities. Library
• Philosophy and Practice, p.100. Retrieved June 9, 2013 from http://connection.ebscohost.com/c/articles/77410659/students-level-study-user-library- resources-nigerian-universities-comparative-study
• Pyke, G. H. (1984). Animal movements: on optimal foraging approach. In Swingland, I.R. and P.J. Greenwood (eds.). The Ecology of Animal Movement. Clarendon Press, Oxford. pp. 7-31.
• Sims, R. & Bovard, B. (2004). Interacting with online learners: How new elaborations of online presence can foster critical thinking and reflection. In R. Atkinson, C. McBeath, D. Jonas-Dwyer
• & R. Phillips (Eds), Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference (pp. 841-850). Perth, 5-8 December. Siniff, D. B., & Jessen, C.R. (1969). A simulation model of animal movement patterns. Advances in Ecological Research, 6, 185-219
• Smith, J. N. M. (1974). The food searching behavior of two European thrushes: I. Description and analysis of the search paths. Behavior 48, 276-302.
• Somyürek, S., Güyer, T., & Atasoy, B. (2008). The effects of individual differences on learner’s navigation in a courseware. The Turkish Online Journal of Educational Technology, 7(2): 32-40.
• Stamps, J. A., Buechner, M., & Krishnan, V.V. (1987). The effects of edge permeability and habitat geometry on emigration from patches of habitat. American Naturalist, 129, 533-552.
• Stein, D. S., Wanstreet, C. E., & Glazer, H. R. (2010). Knowledge Building in Process: Adult
• Learners’ Perceptions of Participating in Collaborative Knowledge-building Communities. In 29th Annual Midwest Research-to-Practice Conference In Adult, Continuing, Community and Extension Education (p. 207). https://www.msu.edu/~mwr2p/SteinWanstreetGlazer-MR2P- 20pdf Retrieved 31 January 2014.
• Steinwendner, J. (2002). Graph-theoretic issues in remote sensing and landscape ecology.
• EnviroInfo. Environmental Communication in the Information Society -Proceedings of the 16th Conference, IGU/ISEP (Wien). ISBN: 3-9500036-7-3. Retrieved June 9, 2013 from http://www.academia.edu/1863849/Graph- theoretic_issues_in_remote_sensing_and_landscape_ecology
• Swihart, R.K., Slade, N.A., & Bergstrom, B.J. (1988). Relating body size to the rate of home range in mammals. Ecology, 69, 393-399.,
• Thomas, M.J.W. (2002). Learning within incoherent structures: the space of online discussion forums. Journal of Computer Assisted Learning, 18: 351-366. http://homepages.abdn.ac.uk/n.coutts/pages/Radio4/Articles/thomas_2002.pdf Retrieved on June 19, 2013.