BibTex RIS Kaynak Göster

GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ

Yıl 2008, Cilt: 23 Sayı: 4, 0 - , 18.02.2013

Öz

Geleneksel bilgisayar destekli öğretim sistemleri kullanıcıların bireysel farklılıklarını dikkate almaksızın tüm kullanıcılar için aynı öğretim stratejisini kullanarak statik sayfalardan oluşan öğretim materyalini öğrencilere sunmaktadırlar. Bu durum, bilgisayar destekli öğretim sistemlerinin sınıf ortamında gerçekleştirilen yüz-yüze öğretim yöntemine alternatif olamadığı gibi, öğretim etkinliği açısından kabul edilebilir bir kazanımın sağlanamamasına sebep olmaktadır. Bu makalede, bilgisayar destekli öğretim sistemlerinde öğrenim verimliliğini üst düzeye çıkartan, geleneksel sistemlerden tamamen farklı bir mimari yapıya ve tasarım yaklaşımına sahip Uyarlanır Hipermedya Öğretim Sistemi (UHÖS) incelenmektedir. Çalışmada genel bir UHÖS mimarisi verilmiştir. UHÖS’ün merkezi bileşeni olan öğrenci modelinin oluşturulması ve bu model içerisinde kullanıcının bilgi alanı hakkındaki bilgi düzeyinin tespit edilmesi örnek bir uygulama ile açıklanmıştır. UHÖS'ün geleneksel sistemlere göre üstünlükleri sunulmuş ve mevcut çalışmalar değerlendirilmiştir.

Kaynakça

  • Brusilovsky, P., “Adaptive navigation support in
  • educational hypermedia: the role of student
  • knowledge level and the case for metaadaptation”,
  • British Journal of Educational
  • Technology”, Vol. 34, No 4, 487–497, (2003).
  • Anderson, J. R., “The Expert Module”,
  • Foundations of Intelligent Tutoring Systems,
  • -53, (1988).
  • Kavcic, A., "Fuzzy User Modeling for Adaptation
  • in Educational Hypermedia", IEEE
  • Transactions on Systems, Applications and
  • Reviews, Vol. 34, No. 4, (2004).
  • Cao, L., “Designing Web-Based Adaptive
  • Learning Environment: Distils as an Example”,
  • Ph. D. Thesis Faculty of New Jersey Institute of
  • Technology, (2001).
  • Rubim de Assis, A. S. F, “Inferring Dynamic
  • Learner Behavior for User Modeling in
  • Continuously Adapting Hypermedia”, Ph. D.
  • Thesis Faculty of Rensselaer Polytechnic
  • Institute Troy, New York, (2006).
  • Brusilovsky, P., “Developing adaptive
  • educational hypermedia systems: from design
  • models to authoring tools”, School of
  • Information Sciences University of Pittsburgh
  • Pittsburgh PA 15260, (2003).
  • Kahraman, H. T., Colak, I., Sagiroglu, S., “A
  • Web Based Adaptive Educational System”, Sixth
  • International Conference on Machine Learning
  • and Applications, IEEE computer society, 286-
  • , (2007).
  • Brusilovsky, P., “Hypadapter: An Adaptive
  • Hypertext System for Exploratory Learning and
  • Programming”, Adaptive Hypertext and
  • Hypermedia, Kluwer Academic Publishers, 117-
  • , (1996).
  • Ihsak, Z., Arshad M. M. R., Sumari P., “Adaptive
  • Hypermedia System in Education (review of
  • available technologies)”, IEEE ICICS-PCM
  • Singapore, 15-18, (2003).
  • Fan, J. P., Macredie. R. D., “Gender Differences
  • and Hypermedia Navigation: Principles for
  • Adaptive Hypermedia Learning Systems”,
  • Advances in Web-Based Education:
  • Personalized Learning Environments Chapter
  • , Hershey, PA, USA: Information Science
  • Publishing, 1-21, (2005).
  • De Bra, P., Houben, G. J., and Wu, H., “AHAM: A
  • Dexter-based reference model for adaptive
  • hypermedia applications”, Proceedings of the 10th
  • ACM Conference on Hypertext and Hypermedia
  • New York: ACM Press, 147–156, (1999).
  • Halasz, F. G., Schwartz, M., “The Dexter Hypertext
  • Reference Model”, NIST Hypertext Standardization
  • Workshop Gaithersburg, 1-40, (1990).
  • Brusilovsky, P., “Methods and techniques of
  • adaptive hypermedia” User Modeling and User
  • Adapted Interaction, 87-129, (1996).
  • Brusilovsky, P., “User Modeling and User-Adapted
  • Interaction”, Adaptive Hypermedia, 11, (2001).
  • Karampiperis, P., Sampson, D., “Adaptive
  • Resources Sequencing in Educational
  • Hypermedia Systems”, Educational Technology
  • and Society, 128-147, (2005).
  • Çolak, İ., Sagiroglu, S., Kahraman, H. T.,
  • “Architecture of Web Based Adaptive
  • Educational Hypermedia System”, Second
  • International Conference on Innovations in
  • Learning for the Future 2008 e-Learning, 358-
  • , (2008).
  • Armani. J., Botturi. L., “Bridging the Gap with
  • MAID: A Method for Adaptive Instructional
  • Design”, Advances in Web-Based Education:
  • Personalized Learning Environments, Hershey,
  • PA, USA: Information Science Publishing,
  • -178, (2005).
  • Magoulas, G. D., Papanikolaou, K. A.,
  • Grigoriadou, M., “Neuro-fuzzy Synergism for
  • PlNNing the Content in a Web-based Course”,
  • Informatics 25, 39-48, (2001).
  • Papanikolaou, K. A., Grigoriadou, M., Kornilakis,
  • H., Magoulas, G. D., “Personalizing the
  • Interaction in a Web-based Educational
  • Hypermedia System: the case of INSPIRE”,
  • User Modeling and User Adapted Interaction,
  • Kluwer Academic Publishers, 213-267, (2003).
  • Castillo, G., Gama, J., Breda, A. M., “An
  • Adaptive Predictive Model for Student
  • Modelling”,Advances in Web-Based Education:
  • Personalized Learning Environments, Hershey,
  • PA, USA: Information Science Publishing, 70-
  • , (2005).
  • Henze, N., Naceur, K., Nejdl, W., Wolpers, M.,
  • “Adaptive hyperbooks for constructivist
  • teaching”, Künstliche Intelligenz, (4), (1999).
  • Hockemeyer, C., Held, T., & Albert, D., RATH -
  • "A relational adaptive tutoring hypertext WWWenvironment
  • based on knowledge space theory”,
  • Proceedings of CALISCE'98, 4th International
  • conference on Computer Aided Learning and Instruction in Science and Engineering, June
  • -17, (1998).
  • NeumNN, G., & Zirvas, J., SKILL - A scalable
  • internet-based teaching and learning system. In
  • H. Maurer, & R. G. Olson (Eds.), Proceedings of
  • WebNet'98, World Conference of the WWW,
  • Internet, and Intranet, November 7-12, (1998).
  • Weber, G., Kuhl, H.-C., & Weibelzahl, S.,
  • “Developing adaptive internet based courses
  • with the authoring system NetCoach”
  • Proceedings of Third workshop on Adaptive
  • Hypertext and Hypermedia, July 35-48, (2001).
  • Pilar da Silva, D., Durm, R. V., Duval, E., &
  • Olivié, H., “Concepts and documents for
  • adaptive educational hypermedia: a model and a
  • prototype”, Computing Science Reports,
  • Eindhoven University of Technology, 35-43.
  • (1998).
  • De Bra, P., & Ruiter, J.-P., “AHA! Adaptive
  • hypermedia for all”, Proceedings of
  • WebNet'2001, World Conference of the WWW
  • and Internet, 262-268, (2001).
  • Vassileva, J., “DCG + GTE: Dynamic Courseware
  • Generation with Teaching Expertise”, Instructional
  • Science, 317-332, (1998).
  • Kelly, D., Tangney, B., “ ‘First Aid for You’:
  • Getting to know your Learning Style using
  • Machine Learning”, Proceedings of the Fifth
  • IEEE International Conference on Advanced
  • Learning Technologies (ICALT’05), (2005).
  • Martinez, F. E., Chen, S.Y., Liu, X., “Survey of
  • Data Mining Approaches to User Modeling for
  • Adaptive Hypermedia”, IEEE Transactions On
  • Systems, Applications And Reviews, Vol. 36,
  • No.6, 734-749, (2006).
  • Martinez, F. E., Magoulas, G., Chen, S.,
  • Macredie, R., “Modeling human behavior in
  • user-adapted systems: Recent advances using
  • soft computing techniques”, Expert Systems with
  • Applications ELSEVIER, 320-329, (2005).
  • Lee, C-S., Singh, Y. P., “Student modeling using
  • principal component analysis of SOM clusters”,
  • Proceedings of the IEEE International
  • Conference on Advanced Learning
  • Technologies (ICALT’04), 480-484, (2004).
  • Nykanen, O., “Inducing Fuzzy Models for
  • Student Classification”, Educational
  • Technology & Society, 223-234, (2006).
  • Wenger, E., "Artificial intelligence and tutoring
  • systems", Computational approaches to the
  • communication of knowledge, ACM SIGCHI
  • Bulletin, 71-73, (1988).
  • Brusilovsky, P., Eklund, J., Schwarz, E., “Webbased
  • Education for All: A Tool for
  • Development Adaptive Courseware”, Computer
  • Networks and ISDN Systems, Proceedings of
  • Seventh International World Wide Web
  • Conference, 291-300, (1998).
  • De Bra, P., Aerts, A., Berden, B., de Lange, B.,
  • Rousseau, B., Santic, T., Smits, D., Stash, N.,
  • “AHA! The Adaptive Hypermedia Architecture”,
  • HT’03, Nottingham, United Kingdom, ACM 1-
  • -704-4/03/0008, 1-4, (2003).
  • Brusilovsky, P., Anderson, J., "An adaptive
  • system for learning cognitive psychology on the
  • Web", Proceedings of WebNet'98, World
  • Conference of the WWW, Internet, and
  • Intranet, 92-97, (1998).
  • Millan, E., De-La-Cruz, J. L. P., “A Bayesian
  • Diagnostic Algorithm for Modeling and its
  • Evaluation”, User Modeling and User Adapted
  • Interaction, Kluwer Academic Publishers, 281-
  • , (2002).
  • Castillo, G., Gama, J., & Medas, P., "Adaptation
  • to drifting concepts", Progress in Artificial
  • Intelligence, Lecture Notes in Artificial
  • Intelligence, SpringerVerlag, (2003).
  • Wludyka. P. S., Jacobs. S. L., “Runs Rules and PCharts
  • for Multistream Binomial Processes”,
  • Communications in Statistics -Simulation and
  • Computation, 97–142, (2002).
  • Lucas. J. M., Davis. D. J., Saniga. E. M.,
  • “Detecting improvement using Shewhart
  • attribute control charts when the lower control
  • limit is zero”, IEEE Transactions, 38:8, 699–
  • , (2007).
  • Wang. Z., Ma. W., “Design of an Optimum
  • Adaptive Control Chart for Attributes”,
  • Proceedings of the 2003 Systems and
  • Information Engineering Design Symposium,
  • -219, (2003).
  • Tsiriga, V., Virvou, M., “A Framework for the
  • Initialization of Student Models in Web-based
  • Intelligent Tutoring Systems”, User Modeling and
  • User-Adapted Interaction, Pages: 289-316, (2004).
  • Mitchell. T. M., “Machine Learning”, McGraw-
  • Hill Science/Engineering/Math, 154-184, (1997).
  • Conati. C., Gertner. A., Vanlehn. K., “Using
  • Bayesian Networks Uncertainty in Student
  • Modeling”, www.cs.ubc.ca/~conati/mypapers/
  • umuai2002.pdf, 1-42, (2002).
  • Horvitz, E., Breese, J., Heckerman, D., Hovel, D.,
  • Rommelse, K., “The Lumiere Project: Bayesian
  • User Modeling for Inferring the Goals and Needs
  • of Software Users”, Adaptive Systems &
  • Interaction Microsoft Research, 1-10, (1998).
  • Conati, C., Gertner, A. S., Van Lehn, K.,
  • Druzdzel, M. J., “On-Line Student Modeling for
  • Coached Problem Solving Using Bayesian
  • Networks”, Proceedings of the Sixth
  • International Conference on User Modeling
  • (UM-97), 1-12, (1997).
  • Hibou, M., Labat, J. M., “Embedded Bayesian
  • network student models”, Information Technology
  • Based Higher Education and Training, ITHET
  • Proceedings of the Fifth International
  • Conference, IEEE, 468-472, (2004).
  • Stern, M. K., "Using Adaptive Hypermedia and
  • Machine Learning to Create Intelligent Web Based Courses", Ph. D. Thesis, University of
  • Massachusetts Amherst, 11-122, (2001).
  • Weber, G., Brusilovsky, P., "An Adaptive
  • Versatile System for Web-based Instruction",
  • International Journal of Artificial Intelligence
  • in Education, 351-384, (2001).
  • Chen, Q., Norcio, A. F., “Modeling Users with
  • Neural Architectures”, Neural Networks, 1992.
  • IJCNN, International Joint Conference, Vol. 1,
  • IEEE, 547-552, (1992).
  • Herder, E., Dijk, B., “Site Structure and User Navigation:
  • Models, Measures, and Methods”, Adaptable and
  • Adaptive Hypermedia Systems, Chapter 2, Hersley PA
  • USA: IRM Press, 19-36, (2005).
Yıl 2008, Cilt: 23 Sayı: 4, 0 - , 18.02.2013

Öz

Kaynakça

  • Brusilovsky, P., “Adaptive navigation support in
  • educational hypermedia: the role of student
  • knowledge level and the case for metaadaptation”,
  • British Journal of Educational
  • Technology”, Vol. 34, No 4, 487–497, (2003).
  • Anderson, J. R., “The Expert Module”,
  • Foundations of Intelligent Tutoring Systems,
  • -53, (1988).
  • Kavcic, A., "Fuzzy User Modeling for Adaptation
  • in Educational Hypermedia", IEEE
  • Transactions on Systems, Applications and
  • Reviews, Vol. 34, No. 4, (2004).
  • Cao, L., “Designing Web-Based Adaptive
  • Learning Environment: Distils as an Example”,
  • Ph. D. Thesis Faculty of New Jersey Institute of
  • Technology, (2001).
  • Rubim de Assis, A. S. F, “Inferring Dynamic
  • Learner Behavior for User Modeling in
  • Continuously Adapting Hypermedia”, Ph. D.
  • Thesis Faculty of Rensselaer Polytechnic
  • Institute Troy, New York, (2006).
  • Brusilovsky, P., “Developing adaptive
  • educational hypermedia systems: from design
  • models to authoring tools”, School of
  • Information Sciences University of Pittsburgh
  • Pittsburgh PA 15260, (2003).
  • Kahraman, H. T., Colak, I., Sagiroglu, S., “A
  • Web Based Adaptive Educational System”, Sixth
  • International Conference on Machine Learning
  • and Applications, IEEE computer society, 286-
  • , (2007).
  • Brusilovsky, P., “Hypadapter: An Adaptive
  • Hypertext System for Exploratory Learning and
  • Programming”, Adaptive Hypertext and
  • Hypermedia, Kluwer Academic Publishers, 117-
  • , (1996).
  • Ihsak, Z., Arshad M. M. R., Sumari P., “Adaptive
  • Hypermedia System in Education (review of
  • available technologies)”, IEEE ICICS-PCM
  • Singapore, 15-18, (2003).
  • Fan, J. P., Macredie. R. D., “Gender Differences
  • and Hypermedia Navigation: Principles for
  • Adaptive Hypermedia Learning Systems”,
  • Advances in Web-Based Education:
  • Personalized Learning Environments Chapter
  • , Hershey, PA, USA: Information Science
  • Publishing, 1-21, (2005).
  • De Bra, P., Houben, G. J., and Wu, H., “AHAM: A
  • Dexter-based reference model for adaptive
  • hypermedia applications”, Proceedings of the 10th
  • ACM Conference on Hypertext and Hypermedia
  • New York: ACM Press, 147–156, (1999).
  • Halasz, F. G., Schwartz, M., “The Dexter Hypertext
  • Reference Model”, NIST Hypertext Standardization
  • Workshop Gaithersburg, 1-40, (1990).
  • Brusilovsky, P., “Methods and techniques of
  • adaptive hypermedia” User Modeling and User
  • Adapted Interaction, 87-129, (1996).
  • Brusilovsky, P., “User Modeling and User-Adapted
  • Interaction”, Adaptive Hypermedia, 11, (2001).
  • Karampiperis, P., Sampson, D., “Adaptive
  • Resources Sequencing in Educational
  • Hypermedia Systems”, Educational Technology
  • and Society, 128-147, (2005).
  • Çolak, İ., Sagiroglu, S., Kahraman, H. T.,
  • “Architecture of Web Based Adaptive
  • Educational Hypermedia System”, Second
  • International Conference on Innovations in
  • Learning for the Future 2008 e-Learning, 358-
  • , (2008).
  • Armani. J., Botturi. L., “Bridging the Gap with
  • MAID: A Method for Adaptive Instructional
  • Design”, Advances in Web-Based Education:
  • Personalized Learning Environments, Hershey,
  • PA, USA: Information Science Publishing,
  • -178, (2005).
  • Magoulas, G. D., Papanikolaou, K. A.,
  • Grigoriadou, M., “Neuro-fuzzy Synergism for
  • PlNNing the Content in a Web-based Course”,
  • Informatics 25, 39-48, (2001).
  • Papanikolaou, K. A., Grigoriadou, M., Kornilakis,
  • H., Magoulas, G. D., “Personalizing the
  • Interaction in a Web-based Educational
  • Hypermedia System: the case of INSPIRE”,
  • User Modeling and User Adapted Interaction,
  • Kluwer Academic Publishers, 213-267, (2003).
  • Castillo, G., Gama, J., Breda, A. M., “An
  • Adaptive Predictive Model for Student
  • Modelling”,Advances in Web-Based Education:
  • Personalized Learning Environments, Hershey,
  • PA, USA: Information Science Publishing, 70-
  • , (2005).
  • Henze, N., Naceur, K., Nejdl, W., Wolpers, M.,
  • “Adaptive hyperbooks for constructivist
  • teaching”, Künstliche Intelligenz, (4), (1999).
  • Hockemeyer, C., Held, T., & Albert, D., RATH -
  • "A relational adaptive tutoring hypertext WWWenvironment
  • based on knowledge space theory”,
  • Proceedings of CALISCE'98, 4th International
  • conference on Computer Aided Learning and Instruction in Science and Engineering, June
  • -17, (1998).
  • NeumNN, G., & Zirvas, J., SKILL - A scalable
  • internet-based teaching and learning system. In
  • H. Maurer, & R. G. Olson (Eds.), Proceedings of
  • WebNet'98, World Conference of the WWW,
  • Internet, and Intranet, November 7-12, (1998).
  • Weber, G., Kuhl, H.-C., & Weibelzahl, S.,
  • “Developing adaptive internet based courses
  • with the authoring system NetCoach”
  • Proceedings of Third workshop on Adaptive
  • Hypertext and Hypermedia, July 35-48, (2001).
  • Pilar da Silva, D., Durm, R. V., Duval, E., &
  • Olivié, H., “Concepts and documents for
  • adaptive educational hypermedia: a model and a
  • prototype”, Computing Science Reports,
  • Eindhoven University of Technology, 35-43.
  • (1998).
  • De Bra, P., & Ruiter, J.-P., “AHA! Adaptive
  • hypermedia for all”, Proceedings of
  • WebNet'2001, World Conference of the WWW
  • and Internet, 262-268, (2001).
  • Vassileva, J., “DCG + GTE: Dynamic Courseware
  • Generation with Teaching Expertise”, Instructional
  • Science, 317-332, (1998).
  • Kelly, D., Tangney, B., “ ‘First Aid for You’:
  • Getting to know your Learning Style using
  • Machine Learning”, Proceedings of the Fifth
  • IEEE International Conference on Advanced
  • Learning Technologies (ICALT’05), (2005).
  • Martinez, F. E., Chen, S.Y., Liu, X., “Survey of
  • Data Mining Approaches to User Modeling for
  • Adaptive Hypermedia”, IEEE Transactions On
  • Systems, Applications And Reviews, Vol. 36,
  • No.6, 734-749, (2006).
  • Martinez, F. E., Magoulas, G., Chen, S.,
  • Macredie, R., “Modeling human behavior in
  • user-adapted systems: Recent advances using
  • soft computing techniques”, Expert Systems with
  • Applications ELSEVIER, 320-329, (2005).
  • Lee, C-S., Singh, Y. P., “Student modeling using
  • principal component analysis of SOM clusters”,
  • Proceedings of the IEEE International
  • Conference on Advanced Learning
  • Technologies (ICALT’04), 480-484, (2004).
  • Nykanen, O., “Inducing Fuzzy Models for
  • Student Classification”, Educational
  • Technology & Society, 223-234, (2006).
  • Wenger, E., "Artificial intelligence and tutoring
  • systems", Computational approaches to the
  • communication of knowledge, ACM SIGCHI
  • Bulletin, 71-73, (1988).
  • Brusilovsky, P., Eklund, J., Schwarz, E., “Webbased
  • Education for All: A Tool for
  • Development Adaptive Courseware”, Computer
  • Networks and ISDN Systems, Proceedings of
  • Seventh International World Wide Web
  • Conference, 291-300, (1998).
  • De Bra, P., Aerts, A., Berden, B., de Lange, B.,
  • Rousseau, B., Santic, T., Smits, D., Stash, N.,
  • “AHA! The Adaptive Hypermedia Architecture”,
  • HT’03, Nottingham, United Kingdom, ACM 1-
  • -704-4/03/0008, 1-4, (2003).
  • Brusilovsky, P., Anderson, J., "An adaptive
  • system for learning cognitive psychology on the
  • Web", Proceedings of WebNet'98, World
  • Conference of the WWW, Internet, and
  • Intranet, 92-97, (1998).
  • Millan, E., De-La-Cruz, J. L. P., “A Bayesian
  • Diagnostic Algorithm for Modeling and its
  • Evaluation”, User Modeling and User Adapted
  • Interaction, Kluwer Academic Publishers, 281-
  • , (2002).
  • Castillo, G., Gama, J., & Medas, P., "Adaptation
  • to drifting concepts", Progress in Artificial
  • Intelligence, Lecture Notes in Artificial
  • Intelligence, SpringerVerlag, (2003).
  • Wludyka. P. S., Jacobs. S. L., “Runs Rules and PCharts
  • for Multistream Binomial Processes”,
  • Communications in Statistics -Simulation and
  • Computation, 97–142, (2002).
  • Lucas. J. M., Davis. D. J., Saniga. E. M.,
  • “Detecting improvement using Shewhart
  • attribute control charts when the lower control
  • limit is zero”, IEEE Transactions, 38:8, 699–
  • , (2007).
  • Wang. Z., Ma. W., “Design of an Optimum
  • Adaptive Control Chart for Attributes”,
  • Proceedings of the 2003 Systems and
  • Information Engineering Design Symposium,
  • -219, (2003).
  • Tsiriga, V., Virvou, M., “A Framework for the
  • Initialization of Student Models in Web-based
  • Intelligent Tutoring Systems”, User Modeling and
  • User-Adapted Interaction, Pages: 289-316, (2004).
  • Mitchell. T. M., “Machine Learning”, McGraw-
  • Hill Science/Engineering/Math, 154-184, (1997).
  • Conati. C., Gertner. A., Vanlehn. K., “Using
  • Bayesian Networks Uncertainty in Student
  • Modeling”, www.cs.ubc.ca/~conati/mypapers/
  • umuai2002.pdf, 1-42, (2002).
  • Horvitz, E., Breese, J., Heckerman, D., Hovel, D.,
  • Rommelse, K., “The Lumiere Project: Bayesian
  • User Modeling for Inferring the Goals and Needs
  • of Software Users”, Adaptive Systems &
  • Interaction Microsoft Research, 1-10, (1998).
  • Conati, C., Gertner, A. S., Van Lehn, K.,
  • Druzdzel, M. J., “On-Line Student Modeling for
  • Coached Problem Solving Using Bayesian
  • Networks”, Proceedings of the Sixth
  • International Conference on User Modeling
  • (UM-97), 1-12, (1997).
  • Hibou, M., Labat, J. M., “Embedded Bayesian
  • network student models”, Information Technology
  • Based Higher Education and Training, ITHET
  • Proceedings of the Fifth International
  • Conference, IEEE, 468-472, (2004).
  • Stern, M. K., "Using Adaptive Hypermedia and
  • Machine Learning to Create Intelligent Web Based Courses", Ph. D. Thesis, University of
  • Massachusetts Amherst, 11-122, (2001).
  • Weber, G., Brusilovsky, P., "An Adaptive
  • Versatile System for Web-based Instruction",
  • International Journal of Artificial Intelligence
  • in Education, 351-384, (2001).
  • Chen, Q., Norcio, A. F., “Modeling Users with
  • Neural Architectures”, Neural Networks, 1992.
  • IJCNN, International Joint Conference, Vol. 1,
  • IEEE, 547-552, (1992).
  • Herder, E., Dijk, B., “Site Structure and User Navigation:
  • Models, Measures, and Methods”, Adaptable and
  • Adaptive Hypermedia Systems, Chapter 2, Hersley PA
  • USA: IRM Press, 19-36, (2005).
Toplam 231 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Şeref Sağıroğlu Bu kişi benim

İlhami Çolak Bu kişi benim

H. Tolga Kahraman Bu kişi benim

Yayımlanma Tarihi 18 Şubat 2013
Gönderilme Tarihi 18 Şubat 2013
Yayımlandığı Sayı Yıl 2008 Cilt: 23 Sayı: 4

Kaynak Göster

APA Sağıroğlu, Ş., Çolak, İ., & Kahraman, H. T. (2013). GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 23(4).
AMA Sağıroğlu Ş, Çolak İ, Kahraman HT. GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ. GUMMFD. Mart 2013;23(4).
Chicago Sağıroğlu, Şeref, İlhami Çolak, ve H. Tolga Kahraman. “GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 23, sy. 4 (Mart 2013).
EndNote Sağıroğlu Ş, Çolak İ, Kahraman HT (01 Mart 2013) GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 23 4
IEEE Ş. Sağıroğlu, İ. Çolak, ve H. T. Kahraman, “GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ”, GUMMFD, c. 23, sy. 4, 2013.
ISNAD Sağıroğlu, Şeref vd. “GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 23/4 (Mart 2013).
JAMA Sağıroğlu Ş, Çolak İ, Kahraman HT. GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ. GUMMFD. 2013;23.
MLA Sağıroğlu, Şeref vd. “GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, c. 23, sy. 4, 2013.
Vancouver Sağıroğlu Ş, Çolak İ, Kahraman HT. GELENEKSEL WEB TABANLI ÖĞRETİM SİSTEMLERİNDEN UYARLANIR ÖĞRETİM SİSTEMİNE GEÇİŞ: UHÖS İÇİN TASARIM YAKLAŞIMLARININ İNCELENMESİ. GUMMFD. 2013;23(4).