Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 7
Page No. 2046 - 2054

Applied Learners Clustering Methodology in the Massive University

Authors : Samir Anter and Ahmed Zellou

References

Ball, G.H. and D.J. Hall, 1967. A clustering technique for summarizing multivariate data. Syst. Res. Behav. Sci., 12: 153-155.
Direct Link  |  

Bezdek, J.C., R. Ehrlich and W. Full, 1984. FCM: The fuzzy c-means clustering algorithm. Comput. Geosci., 10: 191-203.
CrossRef  |  Direct Link  |  

Catroux, M., 2006. [Collaborative learning mediated by Internet: Conditions of implementation among young learners of English (In French)]. Les Cahiers de l'ACEDLE, 2: 52-73.

Chaiklin, S., 2003. The Zone of Proximal Development in Vygotsky’s Analysis of Learning and Instruction. In: Vygotsky’s Educational Theory in Cultural Context, Kozulin, A., B. Gindis, V.S. Ageyev and S.M. Miller (Eds.). Cambridge University Press, Cambridge, England, UK., pp: 39-64.

Dagger, D., V. Wade and O. Conlan, 2002. Towards a Standards-Based Approach to E-Learning Personalization using Reusable Learning Objects. In: E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education, Driscoll, M. and T. Reeves (Eds.). Association for the Advancement of Computing in Education (AACE), Montreal, Canada, ISBN:978-1-880094-46-4, pp: 210-217.

Depover, C., J.J. Quintin and B. De Lievre, 2004. [Analysis of the effects of two types of group formation in a hybrid distance learning device (In French)]. Rev. Int. Technol. Pedagogie Universitaire, 1: 38-44.
Direct Link  |  

Dolog, P., N. Henze, W. Nejdl and M. Sintek, 2004. Personalization in distributed E-learning environments. Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers and Posters, May 19-21, 2004, ACM, New York, USA., ISBN:1-58113-912-8, pp: 170-179.

Forgey, E., 1965. Cluster Analysis of multivariate data: Efficiency versus interpretability of classification. Biometrics, 21: 768-780.
Direct Link  |  

Gower, J.C., 1971. A general coefficient of similarity and some of its properties. Biometrics, 27: 857-871.
CrossRef  |  Direct Link  |  

Harland, T., 2003. Vygotsky’s zone of proximal development and problem-based learning: Linking a theoretical concept with practice through action research. Teach. Higher Educ., 8: 263-272.
Direct Link  |  

Hartigan, J.A., 1975. Algorithm CHAID: Clustering Algorithms. John Wiley, New York.

Jain, A.K. and R.C. Dubes, 1988. Algorithms for Clustering Data. Prentice-Hall Inc., Englewood Cliffs, NJ., USA.

MacQueen, J., 1967. Some methods for classification and analysis of multivariate observations. Proc. 5th Berkeley Symp. Math. Statist. Prob., 1: 281-297.
Direct Link  |  

Mendelsohn, P. and P. Dillenbourg, 1993. [The Development of Intelligent Computer-Assisted Education]. In: Intelligence Naturelle, Intelligence Artificielle: Symposium de l'Association de Psychologie Scientifique de Langue Française (Rome, 1991), Ny, J.F.L. (Ed.). Presses Universitaires de France, Paris, France, ISBN:9782130452713, pp: 231-256 (In French).

Ng, A.Y., M.I. Jordan and Y. Weiss, 2002. On spectral clustering: Analysis and an algorithm. Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic, December 03-08, 2001, Vancouver, British Columbia, Canada, pp: 849-856.

Py, D., 1998. [Some artificial intelligence methods for student modeling (In French)]. Sci. Tech. Educatives, 5: 1-20.
Direct Link  |  

Romainville, M., 2000. [Failure in the Mass University]. L'Harmattan, Paris, France, (In French).

Self, J.A., 1990. Bypassing the Intractable Problem of Student Modelling. In: Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education, Frasson, C. and G. Gauthier (Eds.). Ablex Publishing, New York, USA., pp: 107-123.

Steinbach, M., G. Karypis and V. Kumar, 2000. A comparison of document clustering techniques. KDD. Workshop Text Min., 400: 525-526.
Direct Link  |  

Zhou, L., H. Chen and J. Liu, 2013. Continuous ordered weighted distance measure and its application to multiple attribute group decision making. Group Decis. Negotiation, 22: 739-758.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved