Artificial Intelligence Applications in Distance Education by Utku Kose, Durmus Koc

By Utku Kose, Durmus Koc

Though academic tools similar to distance and e-learning have addressed our glossy, knowledge-based societys requirement for cutting edge ways to acting academic actions, room for development nonetheless exists.

Artificial Intelligence purposes in Distance Education seeks to envision the efforts made to bridge the space among pupil and educator with laptop purposes. via an in-depth dialogue of purposes hired to beat the issues encountered in the course of academic strategies, this optimum reference assortment goals to reinforce academics and scholars academic reports and increase their wisdom of the literature and the newest advancements in academic technologies.

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As it was also mentioned before, the latest distance education oriented works are highly supported by Artificial Intelligence approaches, methods, and techniques. By employing intelligent mechanisms among educational tools or materials, educational experiences are improved by ensuring effectiveness and efficiencies for both teachers and students. Figure 1 provides a schema explaining the intersection between the Artificial Intelligence and the Distance Education. At this point, it will also be a good approach to briefly express current trends on applications of intelligent distance education solutions.

Fuzzy sets. Information and Control, 8(3), 338–353. 1016/S00199958(65)90241-X ADDITIONAL READING Baker, M. J. (2000). The roles of models in Artificial Intelligence and Education research: a prospective view. Journal of Artificial Intelligence in Education, 11, 122–143. , & Rajeswari, K. (2014). Attributes Selection for Predicting Students’ Academic Performance using Education Data Mining and Artificial Neural Network. International Journal of Computers and Applications, 86. , & Munira, T. A. (2008, August).

2003). Artificial neural network – theory, architecture, training, implementation <> Yapay sinir ağları – teori, mimari, eğitim, uygulama. Ankara, Turkey: Seçkin Press. -S. (2011). Nature-inspired metaheuristic algorithms. Frome, UK: Luniver Press. REFERENCES Greenberg, G. (1998). Distance education technologies: Best practices for K-12 settings. IEEE Technology and Society Magazine, 17(4), 36–40. 735862 Jones, G. (1998). Genetic and Evolutionary Algorithms. In Encyclopedia of Computational Chemistry, (pp.

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