ZEKİ ÖĞRETİM SİSTEMİ OLARAK TASARLANAN EXCELTUTOR’UN ÖĞRENMEYE ETKİSİ

Yıl 2007, Cilt: 8 Sayı: 2, 171 - 187, 01.05.2007

Sinan Kaya , Özgen Korkmaz

Öz

Bu araştırmanın amacı zeki öğretim sistemi olarak tasarlanan ExcelTUTOR alıştırma yazılımının öğrencilerin başarılarına etkisini belirlemektir. Araştırmada öntest-sontest kontrol gruplu deneysel desen kullanılmıştır.

Anahtar Kelimeler

Bilgisayar destekli öğretim, zeki öğretim sistemleri

THE EFFECTS OF ExcelTUTOR SOFTWARE DESING AN INTELLIGENT TUTORING SYSTEM ON LEARNING

Öz

The purpose of this study is to examine the effects of ExcelTUTOR drill software on achievement of students, which was design as computer based intelligent tutoring system, developed by the researcher

Anahtar Kelimeler

Computer assisted instruction, Intelligent Tutoring System

Kaynakça

• Akpınar, Y. (1999). Bilgisayar Destekli Öğretim ve Uygulamalar. Ankara :Anı Yayıncılık 1. Baskı., 127-155.
• Al-Jumeily, D., Strickland P. (2001). An Intelligent Tutoring System for Algebraic Manipulation. The International Journal of Computer Algebra in Mathematics Education. 8: 175.
• Allahverdi, N. (2002). Uzman Sistemler: Bir Yapay Zeka Uygulaması. İstanbul: Atlas Yayın Dağıtım 1. Baskı. 15-16.
• Brown, J. S., Burton, R. R., Bell, A. G. (1975). SOPHIE: A Step Toward Creating a Reactive Learning Environment. International Journal of Man-Machine Studies. 7: 675- 696.
• Brown, J. S., Burton, R. R. (1976). A Tutoring and Student Modeling Pradigm for Gaming Environments. Computer Science and Education. 8 (19): 236-246.
• Burns, H. L., Capps, C. G. (1988). Foundations of Intelligent Tutoring Systems. London: Lawrence Erlbaum Associate 1st ed. 55–78. Butz, B. P. (2000). The Learning Mechanism of the Interactive Multimedia Intelligent Tutoring System (IMITS). Kansas City: 30th ASEE/IEEE Frontiers in Educatioin Conference. 11-16.
• Butz, C. J., Hua, S., Maguire, R. B. (2004). A Web-Based Intelligent Tutoring System for Computer Programming. Beijing: IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 159-165
• Büğrü, E., Ö. (2005). Öğrenci Modeli Oluşturmada Bayesian Olasılık Kuramı ve Bayesian Ağlar. Bilgisayar Mühendisliği Dergisi. (http://bm- dergi.emo.org.tr/index.php?option=c om_content&task=view&id=31&Ite mid=74)
• Büyüköztürk, Ş. (2002). Sosyal Bilimler için Veri Analizi Elkitabı. Ankara: PegemA Yay.
• Clancey W. J. (1979). Tutoring Rules for Guiding a Case Method Dialogue. International Journal of Man- Machine Studies. 11 (3): 25-49.
• Csizmadia, V. (2003). Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Domain Models. Degree of Master of Science in Computer Science Worcester Polytechnic Institute. 1-6.
• Dağ F., Erkan, K. (2004). Prolog Tabanlı Zeki Öğretim Sistemi. Denizli: Mühendislik Bilimleri Dergisi, II. Bilgi Teknolojileri Kongresi. 47-55.
• El-Sheikh, E. M. (2002). An Architecture for the Generation of Intelligent Tutoring Systems from Reusable Components and Knowledge-Based Systems. Doctor of Philosophy in Department of Computer Science and Engineering in the Michigan State University, 14-18.
• Fischetti, E., Gisolfi, A. (1990). From Computer-Aided Instruction to Intelligent Tutoring Systems. Educational Technology. 30 (8): 7- 20.
• Gamboa, H., Fred, A. (2001). Designing Intelligent Tutoring Systems: A Bayesian Approach. Portugal: Proceedings of the 3rd International Conference on Enterprise Information Systems (ICEIS 2001). 452-458.
• Hotomaroğlu, A. T. (2002). Bilgisayar Destekli Öğretim İçin Uzman Sistem Tabanlı Bir Kabuk Programın Geliştirilmesi ve Etkililiğinin Değerlendirilmesi. Doktora Tezi. Ankara: Gazi Fen Bilimleri Enstitüsü. 12-33.
• Hsieh, S., Hsieh, P. Y., Zhang, D. (2003). Web-Based Simulations And Intelligent Tutoring System For Programmable Logic Controller. Boulder: 33rd ASEE/IEEE Frontiers in Educatioin Conference, T3E: 23- 28.
• Keser, H. (1988). Orta Öğretim Kurumları İçin Bilgisayar Destekli Öğretim Model Önerisi. Doktora Tezi. Ankara: Ankara Üniversitesi Sosyal Bilimler Enstitüsü. 30-89.
• Marshall, M., Mitrovic, A. (2004). ERB- Tutor on Er-To-Relational Mapping Tutor. Universty of Canterbury: Bss. Honours Research Report.
• Martin, B. I. (2001). Intelligent Tutoring Systems: The Practical Implementation of Constraint-Based Modelling. Doctor of Philosophy in Computer Science in the University of Canterbury. 12-19.
• Mayo, M. J. (2001). Bayesian Student Modelling and Decision-Theoretic Selection of Tutorial Actions in Intelligent Tutoring Systems. Doctor of Philosofhy in Computer Science in the University of Canterbury. 3-4.
• Negnevitsky, M. (1996). Application of An Intelligent Tutoring System in Electrical Engineering Education. Melbourne: IEEE International Conference on Multimedia Engineereing Education. 491-497.
• Nwana, S. H. (1990). Intelligent Tutoring Systems: an Overview. Kluwer Academic Publishers. 4: 251-277.
• O‟Shea, T., Self, J. (1983). Learning and Teaching with Computers: Artifical Intelligence in Education. Brighton: Hervaster Pres 1st ed. 4.
• Önder, H. H. (2003). Uzaktan Eğitimde Bilgisayar Kullanımı ve Uzman Sistemler. The Turkish Online Journal of Educational Techonology. 2 (3): 142-146.
• Suraweera, P. (2001). An Intelligent Teaching System for Database Modelling. Degree of Master of Science in Computer Science at the University of Canterbury. 3-19. Tamer, T. (2002). Yapay Zeka Programlama Tekniklerinin Bilgisayar Destekli Eğitimde Kullanımına İlişkin Bir Model. Yükseklisans Tezi. Ankara: Gazi Üniversitesi Fen Bilimleri Enstitüsü. 28-102.
• Thorkildsen, R. J., Lubke, M. M., Myette, M. B., Beverly, M., Parry, J. D. (1986). Artifical Intelligence: Applications in Education. Educational Research Quarterly. 10 (1): 2-9.
• Urban-Lurain, M. (2005). Intelligent Tutoring Systems: An Historic Review in the Context of the Development of Artificial Intelligence and Educational Psychology. Technical Report, Department of Computer Science and Engineering, Michigan State University. http://www.cse.msu.edu/rgroups/cs e101/ITS/its.htm.
• VanLehn, K., Lynch, C., Schulze, K., Shapiro, J., A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., Wintersgill, M. (2005). The Andes Physics Tutoring System: Lessons Learned. International Journal of Artificial Intelligence in Education. 15(3), 147–2004.
• Woolf, B., P., Beck, J., Eliot, C., Stern, M. (2001). Growth and Maturity of Intelligent Tutoring Systems: a status report, Cambridge : MA: MIT Pres 1st ed., 100-144.
• Yalın, H. İ. (2000). Öğretim Teknolojileri ve Materyal Geliştirme. Ankara: Nobel Yayın Dağıtım 3. Baskı. 134.