Uzaktan Eğitim Ortamlarında Sosyal Yazılım Kullanımının Kabulünü Etkileyen Faktörlerin Belirlenmesine Yönelik Bir Çalışma

Sosyal yazılımların özellikle genç nesiller arasındaki popülaritesi son yıllarda bu teknolojilerin eğitsel amaçlı kullanılabilirliğinin sorgulanmasına neden olmaktadır Bu çalışmanın amacı, uzaktan eğitim programlarında sosyal yazılımlara karşı öğrencilerin kullanım niyetlerini belirleyen faktörlerin belirlenmesidir. Sosyal yazılımların uzaktan eğitimde kabulüne ilişkin enstrümanların az olması nedeniyle, bu çalışmada yerleşik kuram yaklaşımı benimsenmiştir. 574 uzaktan eğitim öğrencisine eğitimlerinde eğitsel sosyal yazılım kullanımı ile ilgili olumlu ve olumsuz beklentilerini içeren iki açık-uçlu soru yöneltilmiştir. Cevaplar QDA Miner programı ile kodlanmış ve analiz edilmiştir. Çalışma sonucunda uzaktan eğitim öğrencilerinin eğitsel sosyal yazılımları kullanma niyetlerini ortaya koymak adına, beklentileri ve endişeleri mevcut teknoloji kabul modelleri ile ilişkilendirilerek karma bir model önerisinde bulunulmuştur.

A Study on Identifying the Factors Affecting the Use of Social Software in Distance Education Environments

The popularity of social software -especially among younger generations-,has arisen the question of whether these technologies can be used for educational purposes. The purpose of this study is to identify the factors that influence the acceptance of social software for distance learning students. Since there are little guiding instruments with respect to the acceptance of social software for distance learners, the grounded theory has been adopted in this study. 574 distance learners were asked two open ended questions that sought to gather the positive and negative expectations concerning the use of social networking software in their distance education programming. The answers given to these questions were then coded and analyzed using QDA Miner. In order to examine distance learners' behavioral intention to use social software, their expectations and concerns were integrated with prior technology acceptance models, suggesting a hybrid acceptance model.

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