Akademik Veri Yönetim Sistemi
Tezin Türü: Doktora
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Eğitim Fakültesi, Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü, Türkiye
Tezin Onay Tarihi: 2018
Tezin Dili: İngilizce
Öğrenci: Nehir Yasan Ak
Danışman: İBRAHİM SONER YILDIRIM
Özet:The study aimed to investigate undergraduate students’ educational mobile phone use; and explore the effect of certain learner characteristics (demographic characteristics, technology-use related characteristics, the motives for mobile phone use, self-directed learning, and self-efficacy beliefs) on mobile phone use in an academic environment (MPUAE) with respect to the facilitator, distractor, and connectedness sub-dimensions. A correlational research design was employed. The sample consisted of 1867 undergraduate students, which were selected by stratified sampling method from all departments of Middle East Technical University. The researcher developed MPUAE scale based on the Mobile Phone Affinity Scale (Bock et al., 2016). A three-factor structure with 18 items was proposed: facilitator, distractor, and connectedness. The results indicated that the scores obtained from the developed scale were valid and reliable in assessing undergraduate students’ mobile phone use in the academic environment. The results showed that students used their mobile phones firstly for communication and interaction, secondly for getting/searching information, thirdly for self-learning, fourthly for accessing materials, and lastly for using tools and generating artifacts. In order to predict the contribution of the aforementioned five personal factors on the total MPUAE scores and its three sub-dimensions, four separate hierarchical regression analyses were performed. The findings of regression analyses revealed that each model had a significant contribution to three sub-dimensions of the MPUAES. Except for self-directed learning, other four personal factors also significantly predicted undergraduate students’ total MPUAE scores. The motives of mobile phone use and mobile phone self-efficacy beliefs were the most notable predictors in each analysis.