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WEB TABANLI UYARLAMALI ZEKİ ÖĞRETİM SİSTEMLERİ VE ÖRNEK BİR UYGULAMA

ADAPTIVE WEB-BASED INTELLIGENT TUTORING SYSTEMS AND AN APPLICATION

Journal Name:

  • Eğitim ve Öğretim Araştırmaları Dergisi

Publication Year:

  • 2015

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
As a result of the development of information systems, intelligent tutoring systems has changed to Adaptive Web-Based Intelligent Tutoring System (AIWBES) that will provide a high level individual learning instead of presenting every student the same content. Such systems provide time and place independent learning opportunity and have a positive contribution to the learning while the number of students is increasing nowadays. In this study, Adaptive and Intelligent Web-Based Educational Systems components and adaptation techniques are researched and developed Adaptive Web-Based Intelligent Tutoring System is presented. The developed system is aimed to support individual learning and intended to be a teaching tool that can be used in the Information Technology and Software lessons for students at the secondary schools. Our AIWBES collects students’ data by the student’s interaction through the system. With this information, the student model was created using the overlay model and stereotype model. The domain content is presented according to the knowledge level of the students by adaptive content presentation and adaptive navigation support techniques.
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Abstract (Original Language): 
Bilişim sistemlerinin gelişmesi sonucunda zeki öğretim sistemleri de artık tüm öğrenenlere aynı içeriği sunmak yerine bireysel öğrenmeyi üst düzeyde sağlayacak olan Web Tabanlı Uyarlamalı Zeki Öğretim Sistemleri (WTUZÖS) adını almıştır. Öğrenci sayısının her geçen gün arttığı günümüz şartlarında zamandan ve mekândan bağımsız öğrenme sağlayan bu tür sistemlerin öğrenmeye olumlu katkısı bulunmaktadır. Bu çalışmada Web Tabanlı Uyarlamalı Zeki Öğretim Sistemlerinin bileşenleri, uyarlama teknolojileri incelenmekte ve geliştirilen Web Tabanlı Uyarlamalı Zeki Öğretim Sistemi sunulmaktadır. Geliştirilen sistemin; bireysel öğrenmeyi desteklemesi ve ortaokul düzeyindeki öğrencilerin “Bilişim Teknolojileri ve Yazılım” dersinde kullanılabilecekleri yardımcı bir öğretim aracı olması hedeflenmiştir. Bu sistemde; öğrenciye dair bilgiler toplanarak, katman modeli ve stereotip model kullanılarak öğrenci modelinin oluşturulması ve uyarlamalı metin sunumu ve uyarlamalı gezinti desteği ile öğrencinin seviyesine uygun konu içeriği sunulması amaçlanmıştır.
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  • 4
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  • Turkish

REFERENCES

References: 

Alrifai, M., Gennari, R., Tifrea, O. ve Vittorini, P. (2012). The Domain and User Models of the TERENCE Adaptive
Learning System. In: Proc. of eb-TEL 2012.
Brusilovsky, P.(1996). Methods and techniques of adaptive hypermedia. User Modeling and User Adapted
Interaction (Special issue on adaptive hypertext and hypermedia), v 6, n 2-3, 87-129.
Brusilovsky, P.ve Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. In
The adaptive web (pp. 3-53). Springer-Verlag.
Brusilovsky, P., (1999). Adaptive and Intelligent Technologies for Web-Based Education. Künstlichw Intelligenz,
vol 4, 19-25.
Brusilovsky, P. (2000). Adaptive hypermedia: From intelligent tutoring systems to Web-based education. In
Intelligent Tutoring Systems (pp. 1-7). Springer Berlin Heidelberg.
Brusilovsky, P., Schwarz, E.ve Weber, G. (1996). ELM-ART: An intelligent tutoring system on World Wide Web.
In Frasson, C., Gauthier, G., & Lesgold, A. (Ed.), Intelligent Tutoring Systems (Lecture Notes in Computer Science,
Vol. 1086). Berlin: Springer Verlag. 261-269.
Chrysafiadi, K. ve Virvou M. (2013). “PeRSIVA: An empirical evaluation method of a student model of an
intelligent e-learning environment for computer programming”. Computers & Education.
Clark, R. C. ve Mayer, R. E. (2011). E-learning and the science of instruction: Proven guidelines for consumers
and designers of multimedia learning. USA:Pfeiffer.
De Bra, P., Brusilovsky, P. ve Houben, G., (1999). Adaptive hypermedia: From system to framework. ACM
Computing Survey, 31(4).
De Bra, P., Houben, G. J. ve Wu, H. (1999). AHAM: a Dexter-based reference model for adaptive hypermedia. In
Proceedings of the tenth ACM Conference on Hypertext and hypermedia: returning to our diverse roots:
returning to our diverse roots (pp. 147-156). ACM.
Eğitim ve Öğretim Araştırmaları Dergisi
Journal of Research in Education and Teaching
Kasım 2015 Cilt:4 Sayı:4 Makale No: 05 ISSN: 2146-9199
47
Desmarais, M. C. ve d Baker, R. S. (2012). A review of recent advances in learner and skill modeling in intelligent
learning environments. User Modeling and User-Adapted Interaction, 22(1-2), 9-38.
Dogan, B. ve Camurcu, A. Y. (2008). Association rule mining from an intelligent tutor. Journal of educational
technology systems, 36(4), 433-447.
Fan, L. (2004). Adaptation and Personalization in Web-based Learning Support Systems. The Second
International Workshop on Web-based Support Systems In Conjunction with IEEE/WIC/ACM WI/IAT’04, 60-63.
Goldstein, P. (1977). Overlays : A Theory of modelling for computer - aided instructions, AI Memo 406, MIT,
Cambidge, MA.
Iglesias, A., Martínez, P. ve Fernández, F. (2003). Navigating through the RLATES interface: A web-based
adaptive and intelligent educational system, In On The Move to Meaningful Internet Systems 2003: OTM 2003
Workshops (pp. 175-184). Springer Berlin Heidelberg.
Karataş, S., (2003). Öğretim Amaçlı Web Sayfası Tasarımında Renk Kullanımı. G.Ü. Gazi Eğitim Fakültesi Dergisi
Cilt 23, Sayı 2 (2003) 139-148.
Kay, J. (2000, January). Stereotypes, student models and scrutability. In Intelligent Tutoring Systems (pp. 19-30).
Springer Berlin Heidelberg.
Koch, N.P.D. (2000), Software Engineering for Adaptive Hypermedia Systems Reference Model, Modeling
Techniques and Development Process. Doktora Tezi, Ludwig Maximilian Üniversitesi Matematik ve Bilgisayar
Bilimleri Bölümü, Münih,35-37.
Nakabayashi, K., Koike, Y., Maruyama, M., Touhei, H., Ishiuchi, S. ve Fukuhara, Y. (1995). A distributed
Intelligent-CAI System on the World-Wide Web. Proceedings of the ICCE 95, 214-221.
Phobun, P. ve Vicheanpanya, J. (2010). Adaptive intelligent tutoring systems for e-learning systems. Procedia
Social and Behavioral Sciences 2 (2010), 4064–4069.
Muñoz-Merino, P. J., Molina, M. F., Muñoz-Organero, M. ve Kloos, C. D. (2012). An adaptive and innovative
question-driven competition-based intelligent tutoring system for learning. Expert Systems with Applications,
39(8), 6932-6948.
Santally, M.I. ve Senteni, A., (2005). Adaptation Models for Personalisation in in Web-based Learning
Environments, Malaysian Online Journal of Instructional Technology, ISSN 2 (1).
Sison, R. ve Shimura, M. (1998). Student modeling and machine learning. International Journal of Artificial
Intelligence in Education (IJAIED), 9, 128-158.
Specht, M., Kravcik, M., Pesin, L. ve Klemke, R., (2001). Authoring Adaptive Educational Hypermedia in WINDS.
Proceedings of ABIS2001, Dortmund, Germany, 1-8.

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