EĞİTSEL BİR PROBLEM OLARAK HİPER ORTAMDA KAYBOLMANIN ÖLÇÜLMESİ

Year 2022, , 88 - 105, 31.12.2022

Müge Vuran , Tolga Güyer

https://doi.org/10.48174/buaad.52.2

Abstract

Bu çalışmanın amacı, hiper ortamda kaybolma konusunda yapılan çalışmaları, kullanılan ölçü ve metrikler ile bu sorunun ilişkilendirildiği değişkenler açısından ayrıntılı ve kapsamlı olarak incelemektir. Bu amaç kapsamında, hiper ortamda kaybolma konusunda yapılan lisansüstü tezler ile Türkiye ve yurtdışındaki çeşitli dergilerde yayınlanmış makaleler incelenerek içerik analizi gerçekleştirilmiştir. Veriler ulusal tez merkezinde yayınlanmış 4 yüksek lisans ve 7 doktora tezi ve benzer derleme çalışmalarına ait kaynaklar ile SSCI tarafından dizinlenen dergilerde yer alan 30 makalenin taranması ile gerçekleştirilmiştir. İçerik analizinden elde edilen sonuçların, bu alanda çalışacak olan araştırmacılara hiper ortamda kaybolma sorununun hangi değişkenlerle ilişkilendirildiği ve nasıl ölçüldüğü konularında destek sağlayacağı düşünülmektedir. Uygulayıcılara ise kaybolma ölçümlerinde kullanabilecekleri ölçü ve metrikler konusunda yol gösterici olacağı öngörülmektedir

Keywords

e-öğrenme, kaybolma metriği, hiper ortamda kaybolma, kaybolma ölçümü, hiper ortamda kaybolmanın ölçülmesi

MEASURING LOST IN HYPERMEDIA AS AN EDUCATIONAL PROBLEM

Abstract

The aim of this study is to examine in detail and comprehensively the studies on disappearance in hypermedia in terms of the measures and metrics used and the variables associated with this problem. Within the scope of this purpose, content analysis was carried out by examining postgraduate theses on disappearance in hypermedia and articles published in various journals in Turkey and abroad. The data were obtained by scanning the sources of 4 master's and 7 doctoral theses and similar compilation studies published in the national thesis center and 30 articles in the journals indexed by SSCI. It is thought that the results obtained from the content analysis will provide support to the researchers who will work in this field in terms of which variables are associated with the problem of disappearance in hypermedia and how it is measured. It is foreseen that it will guide the practitioners in terms of measures and metrics that they can use in disappearance measurements.

Keywords

E-learning, Disappearance in hypermedia, Measurement of disappearance in hypermedia, Disappearance metric, Disappearance measurement

References

• Akbulut, Y., & Cardak, C. S. (2012). Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Computers & Education, 58(2), 835-842.
• Chen, S. Y., & Macredie, R. D. (2002). Cognitive styles and hypermedia navigation: Development of a learning model. Journal of the American society for information science and technology, 53(1), 3-15.
• Chen, S. Y., Fan, J. P., & Macredie, R. D. (2006). Navigation in hypermedia learning systems: experts vs. novices. Computers in human behavior, 22(2), 251-266.
• Chou, H. W. (2001). Influences of cognitive style and training method on training effectiveness. Computers & Education, 37(1), 11-25.
• Chrysafiadi, K., & Virvou, M. (2013). Student modeling approaches: A literature review for the last decade. Expert Systems with Applications, 40(11), 4715-4729.
• Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6. baskı). Oxon: Routledge. Conklin, J. (1987). Hypertext: An introduction and survey. computer, 20(09), 17-41.
• Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
• Calisir, F., Eryazici, M., & Lehto, M. R. (2008). The effects of text structure and prior knowledge of the learner on computer-based learning. Computers in Human Behavior, 24(2), 439-450.
• Calisir, F., & Gurel, Z. (2003). Influence of text structure and prior knowledge of the learner on reading comprehension, browsing and perceived control. Computers in Human Behavior, 19(2), 135-145.
• Çelebi, F. (2014). Uyarlanabilir öğrenme ortamlarında gezinme stratejisinin gezinme süresi ve yolu ile kaybolma algısına etkisi. Ankara Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara.
• Eliot, J. A., & Hirumi, A. (2019). Emotion theory in education research practice: An interdisciplinary critical literature review. Educational technology research and development, 67(5), 1065-1084.
• Graff, M. (2002). Learning from hypertext and the analyst-intuition dimension of cognitive style. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 361-368). Association for the Advancement of Computing in Education (AACE).
• Graff, M. (2006). Constructing and maintaining an effective hypertext‐based learning environment: Web‐based learning and cognitive style. Education + Training, 48(2/3), 143-155.
• Güyer, T. O. L. G. A. (2009). Hiperortam ve Gezinmenin Modellenmesi-Öğretim Amaçlı Web Tasarımı Uygulamaları. Güyer, T., Atasoy, B., & Somyürek, S. (2015). Measuring disorientation based on the Needleman-Wunsch algorithm. International Review of Research in Open and Distributed Learning, 16(2), 188-205.
• Henry, M. J. (1995). Remedial math students' navigation patterns through hypermedia software. Computers in human behavior, 11(3-4), 481-493.
• Holloway, I., & Wheeler, S. (1996). Qualitative research for nurses (pp. p115-129). Oxford: Blackwell Science.
• Houser, J. (2016). Nursing Research: Reading, Using and Creating Evidence: Reading, Using and Creating Evidence. Jones & Bartlett Learning.
• Huang, K. (2019). Design and investigation of cooperative, scaffolded wiki learning activities in an online graduate-level course. International Journal of Educational Technology in Higher Education, 16(1), 1-18.
• Kaya, E. (2015). Güneş sistemi ve ötesi: uzay bilmecesi” ünitesi için bilişsel yük kuramı ilkelerine göre geliştirilen teknoloji destekli rehber materyallerin etkililiğinin belirlenmesi. Yayınlanmamış Doktora Tezi). Karadeniz Teknik Üniversitesi Eğitim Bilimleri Enstitüsü, Trabzon.
• Mayer, R. E. (2017). Using multimedia for e‐learning. Journal of computer assisted learning, 33(5), 403-423.
• Noteborn, G. C., & Garcia, G. E. (2016). Turning MOOCS around: Increasing undergraduate academic performance by reducing test-anxiety in a flipped classroom setting. In Emotions, Technology, and Learning (pp. 3-24). Academic Press.
• Scherer, K. R. (2005). What are emotions? And how can they be measured?. Social science information, 44(4), 695-729.
• Serçe, F. C. (2008). Uzaktan öğrenmeye yönelik adapte olabilen çok aracılı sistem (Yayınlanmamış doktora tezi). Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü, Ankara.
• Sweller, J., Van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational psychology review, 10(3), 251-296.
• Wang, J. H., Chen, S. Y., & Chan, T. W. (2016). An investigation of a joyful peer response system: High ability vs. low ability. International Journal of Human-Computer Interaction, 32(6), 431-444.
• Yang, S. C. (1996). Designing instructional applications using constructive hypermedia. Educational Technology, 36(6), 45-50.
• Yıldırım, A., & Simsek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (9. Baskı). Ankara: Seçkin.
• Zhu, E. (1996). Hypermedia interface design: The effects of number of links and granularity of nodes. Indiana University