Towards a Web Based Adaptive and Intelligent Tutoring System
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References
Ayeni, F., & Misra, S. (2014, September). Overcoming barriers of effective health care delivery and electronic health records in Nigeria using socialized medicine. In Electronics, Computer and Computation (ICECCO), 2014 11th International Conference on (pp. 1-4). IEEE.
Becker, D. & Dwyer, M. (1994). Using hypermedia to provide learner control. Journal of Educational Multimedia and Hypermedia, 3(2), 155-172.
Brusilovsky, P. 1996. Methods and techniques of adaptive hypermedia. In P. Brusilovsky and J. Vassileva (eds.), Spec. Iss. on Adaptive Hypertext and Hypermedia, User Modeling and User-Adapted Interaction 6 (2-3), 87-129.
Brusilovsky, P. and Maybury, M. T. 2002. From Adaptive Hypermedia to the Adaptive Web, Communications of the ACM, Vol. 45, No. 5, pp .30-33.
Brusilovsky, P., &Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13, 159–172.
Brusilovsky, P., et al, 2004, Layered evaluation of adaptive learning systems, International Journal of ContinuingEngineering Education and Lifelong Learning, Vol. 14, Nos. 4/5, pp.402-421.
Brusilovsky, P., et al, 2004, Layered evaluation of adaptive learning systems, International Journal of ContinuingEngineering Education and Lifelong Learning, Vol. 14, Nos. 4/5, pp.402-421.
Dimitroff, A. & Wolfram, D. (1995). Searcher response in a hypertext-based bibliographic information retrieval system.Journal of the American Society for Information Science, 46(1), 22-29.
Ferguson, K., Arroyo, I., Mahadevan, S., Woolf, B., &Barto, A. (2006). Improving Intelligent TutoringSystems: Using Expectation Maximization to Learn Student Skill Levels. Intelligent Tutoring Systems 4053: 453 – 462.
Fried, C. B. (2008). In-class laptop use and its effects on student learning. Computers & Education, 50(3), 906-914.
Graf, S. 2007. “Adaptivity in Learning Management Systems Focusing on Learning Styles,” Ph.D. Thesis, Vienna University of Technology.
Jeon S.S. and Su S.Y.W. 2007.Achieving Adaptive-Learning Using Condition-Action Rules and Bayesian Networks. NETWORKS. IADIS International Conference e-Learning.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
Mitrovic, A., 2003, An Intelligent SQL Tutor on the Web, International Journal of Artificial Intelligence in Education, Vol. 13, Nos. 2/4, pp.171-195.
Nwana, H.S. 1990. “INTELLIGENT TUTORING SYSTEMS - AN OVERVIEW,” Artificial Intelligence Review, vol. 4, no. 4, pp. 251-277.
Smith, A. S. G. and Blandford, A, 2002, MLTutor: An Application of Machine Learning Algorithms for an Adaptive Web-based Information System, International Journal of Artificial Intelligence in Education, Vol. 3 Nos. 2/4, pp. 233-260.
Stoilescu, D. (2008, January). An analysis of Knowledge Building Contributions in Elementary Science Classes. In Dean's Graduate Student Research Conference 2008.
Thuring, M., Mannemann, J. &Haake, J. (1995). Hypermedia and cognition: Designing for comprehension. Communications of the ACM, 38(8), 57-66.
Weber, G. and Brusilovsky, P., 2001, ELM-ART: An Adaptive Versatile System for Web-based Instruction,International Journal of Artificial Intelligence in Education, Vol. 12, pp.351-384.
DOI: http://dx.doi.org/10.19732/10.19732/vol1122016
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