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Kişiselleştirilebilir Öğrenme Ortamlarina Yönelik Geçerli ve Güvenilir Bir Ölçek Geliştirme Çalışması1

Developing a Valid and Reliable Attitude Scale towards Personalized Learning

Journal Name:

  • Kastamonu Üniversitesi Kastamonu Eğitim Dergisi

Publication Year:

  • 2016

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
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.
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Abstract (Original Language): 
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.
FULL TEXT (PDF): 
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  • Turkish

REFERENCES

References: 

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.
Bahçeci, F., 2011, Kişiye Özgü Öğretim Portalının Öğrenenlerin Akademik Başarısı ve Tutumları
Üzerindeki Etkisi, Doktora Tezi, Fırat University, 216s (Yayınlanmamış).
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.
Büyüköztürk, Ş., Çakmak, E.K., Akgün, Ö.E., Karadeniz, Ş. ve Demirel, F., 2011, Bilimsel araştırma
yöntemleri, Pegem Akademi (9. Baskı), Ankara, 346s.
Costello, R., 2012, Adaptive intelligent personalised learning (AIPL) environment, , PhD Thesis,
The University of Hull, 257p (Unpublished).
DeVellis, R.F., 1991, Scale development. London. Sage Publications.
Dimitrova, V. (2003) STyLE-OLM: interactive open learner modelling, International Journal of
Artificial Intelligence in Education, 13:35-78p.
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.
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.
Kara, N. and Sevim, N. (2013). Adaptive learning systems: beyond teaching machines, Contemporary
Educational Technology, 4(2):108-120p.
Kim,, R., Olfman, L., Ryan, T. and Eryılmaz, E. (2014). Leveraging a personalized system to improve
self-directed learning in online educational environments, Computers & Education, 70:150-
160p.
Kline, R. B., 2005, Principles and practice of structural equation modeling (Second Edition ed.).
NY: Guilford Publication, Inc.
Martinez, M. (2001). Key design considerations for personalized learning on the web, Educational
Technology & Society, 4(1), ISSN 1436-4522.
Neumann, G. and Zirvas, J. (1998). SKILL - a scalable internet-based teaching and learning system,
1726 Muhittin ŞAHİN, Tarık KIŞLA...
Eylül 2016 Cilt:24 No:4 Kastamonu Eğitim Dergisi
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.
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.
Park, O. and Lee, J. (2003). Adaptive instructional systems, http://www.etc.edu.cn/eet/articles/cmi/
Park,%202003.pdf (2003). (Erişim Tarihi:5 Aralık 2013).
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.
Powell, S., Tindal, I. and Millwood, R. (2008). Personalized learning and the ultraversity experience,
Interactive Learning Environments, 16:63-81p.
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.
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.stats.ox.ac.
uk/~snijders/mpr_Schermelleh.pdf.
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.
Soflano, M., Connolly, T.M., and Hainey, T. (2015). Learning style analysis in adaptive GBL application
to teach SQL, Computers & Education, 86:105-119p.
Tesbaşaran, A. A. (2008). Likert Tipi Ölçek Hazırlama Kılavuzu. https://docs.google.com/viewer?a
=v&pid=forums&srcid=MDA4MTkwMTE4Njc5NjczMzA0ODQBMTIzMDc1NTE1MjQy
NTQ2MTc1OTEBYnpqd2RfUjdYYW9KATQBAXYy adresinden elde edildi.
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.

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