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2020 yılının başında yaşanan ve tüm dünyadaki eğitim-öğretim-öğrenme sürecini yeni bir dönüşüme sokan pandemi dönemi, açık ve uzaktan öğrenmenin eğitimdeki yerini ve önemini netleştirmiş; bilgi iletişim teknolojileri desteğiyle etkili, verimli, öğrenenin ilgi ve güdüsünü aktif tutacak öğrenme içerikleri oluşturma ihtiyacı artmıştır. Türkiye’de uzaktan öğretim sürecine okul öncesi eğitimin de dahil olmasıyla beraber bu dönem çocuklarının görsel okuryazarlık durumları ile öğretimde kullanılan dijital öğrenme içeriklerinin ilişkisinin incelenmesi önem kazanmıştır. 5-6 yaş çocukların dijital öğrenme içeriklerine gösterdikleri ilgi-güdü düzeylerinin analizi, okul öncesi uzaktan eğitimde başarının artırılması için gereklidir. Çalışmada, Eğitim Bilişim Ağı (EBA) üzerinden gerçekleştirilen okul öncesi öğretim sürecinde kullanılan altı farklı öğrenme içeriğinin (dijital kitap, eğitici çizgi film, konu anlatımlı video, doküman, etkileşimli içerik, ses dosyası) 5-6 yaş grubu çocukların ilgi-güdü düzeylerine etkisi incelenmiştir.

Within the scope of this study, it was aimed to determine the factors that should be considered regarding the usability and security of online test applications used as an assessment and evaluation tool during the COVID-19 pandemic. In this context, the case study method was used to obtain the opinions of field experts. Furthermore, in this study, using the focus group interview technique as a data collection technique, the criterion sampling method, one of the purposeful sampling methods, was used to determine participants. At this point, it was taken into consideration that the participants were experts in the field of open and distance learning. In this regard, a total of 15 field experts who have experienced online test during the emergency distance education period at Anadolu University, Turkey contributed to the focus group interviews consisting of three groups. The results obtained at the end of the study offer solutions for the usability of online test applications, the use of which has increased with the pandemic process and ensuring the security of these applications.

WOS: 000450369300007, This study aims to predict the final exam scores and pass/fail rates of the students taking the Basic Information Technologies -1 (BIL101U) course in 2014-2015 and 2015-2016 academic years in the Open Education System of Anadolu University, through Artificial Neural Networks (ANN). In this research, data about the demographics, educational background, BIL101U course mid-term, final and success scores of 626,478 students was collected and purged. Data of 195,584 students, obtained after this process was analysed through Multilayer Perception (MLP) and Radial Basis Function (RBF) models. Sixteen different networks attained through the combination of ANN parameters were used to predict the final exam scores and pass/fail rates of the students. As a result of the analyses, it was found out that networks established through MLPs make more exact predictions. In the prediction of the final exam scores, it was determined that there is a low level of correlation between the actual scores and predicted scores. In the analyses for the prediction of pass/fail rates of the students, networks established through MLPs ensured more exact prediction results. Moreover, it was determined that the variables as mid-term exam scores, university entrance scores and secondary school graduation year were of highest importance in explaining the final exam scores and pass/fail rates of the students. It was found out that in the higher institutions serving for Open and Distance Learning, pass/fail state of the students can be predicted through ANN under favour of variables of students which have been found as most the important predictors., Anadolu University Scientific Research Projects Commission, This research was produced from master's thesis titled "Predicting Achievement with Artificial Neural Networks: The Case of Anadolu University Open Education System" by Hilal S. Yildiz Aybek in supervising of M. Recep Okur, and supported by Anadolu University Scientific Research Projects Commission.