Araştırma Makalesi
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Kişiselleştirilebilir Öğrenme Ortamlarina Yönelik Geçerli ve Güvenilir Bir Ölçek Geliştirme Çalışması

Yıl 2016, Cilt: 24 Sayı: 4, 1713 - 1726, 15.09.2016

Öz

Bu araştırmanın amacı, kişiselleştirilebilir öğrenme ortamlarına yönelik geçerli ve
güvenilir bir tutum ölçeği geliştirmektir. Tutum ölçeği geliştirebilmek için ilk olarak madde
havuzu oluşturulmuş ve uzman görüşüne sunulmuştur. Uzman görüşlerine göre son hali verilen
pilot form, altı farklı üniversiteden 481 Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü
üçüncü ve dördüncü sınıf öğrencisi ile uygulanmıştır. Yapılan analizlere göre; açımlayıcı
faktör analizi sonucu; KMO değeri .95, Bartlett Sphericity ( =6367.9, .000) sonucu
da anlamlı çıkmıştır. Doğrulayıcı faktör analizi sonucu da elde edilen yapıyı destekler nitelikte
bulunmuştur. Cronbach alpha değeri ise .95 olarak bulunmuştur. Yapılan analizler sonucunda;
tek boyuttan ve 27 maddeden oluşan geçerli ve güvenilir kişiselleştirilebilir öğrenme ortamları
tutum ölçeği geliştirilmiştir. 

Kaynakça

  • DeVellis, R.F., 1991, Scale development. London. Sage Publications.
  • Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures, Methods of Psychological Research Online, 8(2), 23-74p. attained from http://www.cob.unt.edu/slides/paswan/busi6280/Y -Muller_Erfurt_2003.pdf
  • Kline, R. B., 2005, Principles and practice of structural equation modeling (Second Edition ed.). NY: Guilford Publication, Inc.
  • Hooper, D., Coughlan, J. and Mullen, M.( 2008). Structural equation modeling: guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1):53-60p.
  • Büyüköztürk, Ş., Çakmak, E.K., Akgün, Ö.E., Karadeniz, Ş. ve Demirel, F., 2011, Bilimsel araştırma yöntemleri, Pegem Akademi (9. Baskı), Ankara, 346s.
  • Tesbaşaran, A. A. (2008) Likert Tipi Ölçek Hazırlama Kılavuzu. https://docs.google.com/viewer?a=v&pid=forums&srcid=MDA4MTkwMTE4Njc5NjczMzA0ODQBMTIzMDc1NTE1MjQyNTQ2MTc1OTEBYnpqd2RfUjdYYW9KATQBAXYy adresinden elde edildi.
  • Altıparmak, M., Kurt, İ.D. ve Kapıdere, M. (2011). E-öğrenme ve uzaktan eğitimde açık kaynak kodlu öğrenme yönetim sistemleri, Akademik Bilişim’11 - XIII. Akademik Bilişim Konferansı Bildirileri, Malatya, Türkiye, 2-4 Şubat, 319-327s.
  • Costello, R., 2012, Adaptive intelligent personalised learning (AIPL) environment, , PhD Thesis, The University of Hull, 257p (Unpublished).
  • Popescu, E. and Badica, C. (2009). Providing Personalized Courses in a Web-Supported Learning Environment, 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology – Workshops, Milano, Italy, 15-18 September.
  • Sampson, D., Karagiannidis, C. and Cardinali, F. (2002). An architecture for web-based e-learning promoting re-usable adaptive educational e-content, Educational Technology & Society 5 (4): 27-37p.
  • Kara, N. and Sevim, N. (2013). Adaptive learning systems: beyond teaching machines, Contemporary Educational Technology, 4(2):108-120p.
  • Dimitrova, V. (2003). STyLE-OLM: interactive open learner modelling, International Journal of Artificial Intelligence in Education, 13:35-78p.
  • Halim, N.D.A., Ali, M.B. and Yahaya, N. (2010). Personalized learning environment: a new trend in online learning, Education Postgraduate Research Seminar 2010 (Edupres ’10), Faculty of Education, Universiti Teknologi Malaysia, 27-28 October.
  • Schwarz, E., Brusilovsky, P., and Weber, G. (1996). World-wide intelligent textbooks, ED-TELECOM'96 - World Conference on Educational Telecommunications, Boston, USA, 17-22 June, 302-307p.
  • Bra, P.D. and Calvi, L. (1998). AHA: a generic adaptive hypermedia system, 2nd Workshop on Adaptive Hypertext and Hypermedia HYPERTEXT'98, Pittsburgh, USA, 20-24 June.
  • Neumann, G. and Zirvas, J. (1998). SKILL - a scalable internet-based teaching and learning system, Proceedings of WebNet 98, World Conference on WWW, Internet and Intranet, AACE, Orlando, USA, 7-12 November.
  • Ninomiya, T., Taira, H. and Okamoto, T. (2007). A personalised learning environment architecture for e-learning, Proceeding of the Sixth IASTED International Conference WEB-BASED EDUCATION, Chamonix, France, 14-16 March.
  • Wang, F.H. (2008). Content Recommendation Based on Education-Contextualized Browsing Events for Web-based Personalized Learning, Educational Technology & Society, 11 (4):94–112p.
  • Zhang, X. (2008). Research on personalized e- learning model, 2008 ISECS International Colloquium on Computing Communication Control and Management, Guangzhou, China, 3-4 August.
  • Dimitrova, V. (2003) STyLE-OLM: interactive open learner modelling, International Journal of Artificial Intelligence in Education, 13:35-78p.
  • Powell, S., Tindal, I. and Millwood, R. (2008). Personalized learning and the ultraversity experience, Interactive Learning Environments, 16:63-81p.
  • Bahçeci, F., 2011, Kişiye Özgü Öğretim Portalının Öğrenenlerin Akademik Başarısı ve Tutumları Üzerindeki Etkisi, Doktora Tezi, Fırat University, 216s (Yayınlanmamış).
  • O’keeffe, I., Staikopoulus, A., Rafter, R., Walsh, E., Yousof, B., Conlan, O. and Wade, V. (2012). Personalized activity based elearning, i-KNOW’12, Graz, Austria, 5-7 September.

Developing a Valid and Reliable Attitude Scale towards Personalized Learning

Yıl 2016, Cilt: 24 Sayı: 4, 1713 - 1726, 15.09.2016

Öz

The purpose of this study is to develop a valid and reliable attitude scale towards
personalized learning in education. To develop an attitude scale, firstly, the item pool has been
formed and presented to the experts opinion. The final form was prepared according to the
expert opinion, the test form has been conducted on 481 junior and senior students at the
Computer Education and Instructional Technologies Education department from six different
universities. According to the analyses, exploratory factor analysis have resulted in KMO value
.95 and Bartlett Sphericity ( =6367.9, .000). Confirmatory factor analysis result has
also measured up for the acquired form. The value of Cronbach alpha has been calculated as
.95. As a result of the analyses, a valid and reliable personalized learning education attitude
scale that consists of one sized and 27 items have been developed. 

Kaynakça

  • DeVellis, R.F., 1991, Scale development. London. Sage Publications.
  • Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures, Methods of Psychological Research Online, 8(2), 23-74p. attained from http://www.cob.unt.edu/slides/paswan/busi6280/Y -Muller_Erfurt_2003.pdf
  • Kline, R. B., 2005, Principles and practice of structural equation modeling (Second Edition ed.). NY: Guilford Publication, Inc.
  • Hooper, D., Coughlan, J. and Mullen, M.( 2008). Structural equation modeling: guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1):53-60p.
  • Büyüköztürk, Ş., Çakmak, E.K., Akgün, Ö.E., Karadeniz, Ş. ve Demirel, F., 2011, Bilimsel araştırma yöntemleri, Pegem Akademi (9. Baskı), Ankara, 346s.
  • Tesbaşaran, A. A. (2008) Likert Tipi Ölçek Hazırlama Kılavuzu. https://docs.google.com/viewer?a=v&pid=forums&srcid=MDA4MTkwMTE4Njc5NjczMzA0ODQBMTIzMDc1NTE1MjQyNTQ2MTc1OTEBYnpqd2RfUjdYYW9KATQBAXYy adresinden elde edildi.
  • Altıparmak, M., Kurt, İ.D. ve Kapıdere, M. (2011). E-öğrenme ve uzaktan eğitimde açık kaynak kodlu öğrenme yönetim sistemleri, Akademik Bilişim’11 - XIII. Akademik Bilişim Konferansı Bildirileri, Malatya, Türkiye, 2-4 Şubat, 319-327s.
  • Costello, R., 2012, Adaptive intelligent personalised learning (AIPL) environment, , PhD Thesis, The University of Hull, 257p (Unpublished).
  • Popescu, E. and Badica, C. (2009). Providing Personalized Courses in a Web-Supported Learning Environment, 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology – Workshops, Milano, Italy, 15-18 September.
  • Sampson, D., Karagiannidis, C. and Cardinali, F. (2002). An architecture for web-based e-learning promoting re-usable adaptive educational e-content, Educational Technology & Society 5 (4): 27-37p.
  • Kara, N. and Sevim, N. (2013). Adaptive learning systems: beyond teaching machines, Contemporary Educational Technology, 4(2):108-120p.
  • Dimitrova, V. (2003). STyLE-OLM: interactive open learner modelling, International Journal of Artificial Intelligence in Education, 13:35-78p.
  • Halim, N.D.A., Ali, M.B. and Yahaya, N. (2010). Personalized learning environment: a new trend in online learning, Education Postgraduate Research Seminar 2010 (Edupres ’10), Faculty of Education, Universiti Teknologi Malaysia, 27-28 October.
  • Schwarz, E., Brusilovsky, P., and Weber, G. (1996). World-wide intelligent textbooks, ED-TELECOM'96 - World Conference on Educational Telecommunications, Boston, USA, 17-22 June, 302-307p.
  • Bra, P.D. and Calvi, L. (1998). AHA: a generic adaptive hypermedia system, 2nd Workshop on Adaptive Hypertext and Hypermedia HYPERTEXT'98, Pittsburgh, USA, 20-24 June.
  • Neumann, G. and Zirvas, J. (1998). SKILL - a scalable internet-based teaching and learning system, Proceedings of WebNet 98, World Conference on WWW, Internet and Intranet, AACE, Orlando, USA, 7-12 November.
  • Ninomiya, T., Taira, H. and Okamoto, T. (2007). A personalised learning environment architecture for e-learning, Proceeding of the Sixth IASTED International Conference WEB-BASED EDUCATION, Chamonix, France, 14-16 March.
  • Wang, F.H. (2008). Content Recommendation Based on Education-Contextualized Browsing Events for Web-based Personalized Learning, Educational Technology & Society, 11 (4):94–112p.
  • Zhang, X. (2008). Research on personalized e- learning model, 2008 ISECS International Colloquium on Computing Communication Control and Management, Guangzhou, China, 3-4 August.
  • Dimitrova, V. (2003) STyLE-OLM: interactive open learner modelling, International Journal of Artificial Intelligence in Education, 13:35-78p.
  • Powell, S., Tindal, I. and Millwood, R. (2008). Personalized learning and the ultraversity experience, Interactive Learning Environments, 16:63-81p.
  • Bahçeci, F., 2011, Kişiye Özgü Öğretim Portalının Öğrenenlerin Akademik Başarısı ve Tutumları Üzerindeki Etkisi, Doktora Tezi, Fırat University, 216s (Yayınlanmamış).
  • O’keeffe, I., Staikopoulus, A., Rafter, R., Walsh, E., Yousof, B., Conlan, O. and Wade, V. (2012). Personalized activity based elearning, i-KNOW’12, Graz, Austria, 5-7 September.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Konular Eğitim Üzerine Çalışmalar
Bölüm Derleme Makale
Yazarlar

Muhittin Şahin Bu kişi benim

Tarık Kışla Bu kişi benim

Yayımlanma Tarihi 15 Eylül 2016
Kabul Tarihi 19 Ocak 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 24 Sayı: 4

Kaynak Göster

APA Şahin, M., & Kışla, T. (2016). Developing a Valid and Reliable Attitude Scale towards Personalized Learning. Kastamonu Education Journal, 24(4), 1713-1726.