Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleYalnız künye2021Review of Studies on Early Warning Systems Used in Education
Kaban, Abdullatif; Bilen, Omer
The development of data mining and artificial intelligence technologies has led to the fact that the future behavior of students has become predictable when looking at their actions in learning management systems. In particular, early warning systems based on the logic of identify at-risk students and give warnings to them are developed and provide information to distance education institutions. This study aims to examine studies of early warning systems used in education in terms of publication characteristics and data mining analysis methods, as well as to identify the current situation. For this purpose, the data obtained from the Google Scholar database was examined by the content analysis method and the results were presented in frequency tables. When the studies on Early Warning Systems were examined, it was seen that the studies on this topic started after 2014 and the number of studies related to the subject increased in 2018. It was found that these studies were mainly conducted in the United States, represented by articles and conference reports, and the preference was given to quantitative methods. Pilot studies concluded that data was collected from system records taken from a learning management system and that the data was analyzed using a variety of data mining techniques. It can be said that a model that has proven applicability in early warning systems has not been developed yet and this is one of the important results obtained from this study.
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İncele - MakaleAçık Erişim2020Attitudes of Students Taking Digital Literacy Course Through Distance Education Towards E-Learning
Kaban, Abdullatif; Bilen, Omer
Today, it is seen that higher education institutions have entered the digital transformation process and want to provide their students with digital literacy experience. In order to contribute to the successful completion of this transformation, there is a need to determine the attitudes of students towards e-learning. Pilot implementations by the Councilof Higher Education are seen as an opportunity to benefit from the experiences gained from digital literacy courses. In this study, it was aimed to determine the attitudes of students taking digital literacy course with distance education towards e-learning and to examine them in terms of independent variables. For this purpose, in this study, the survey model, one of the quantitative research methods, was used. The data of the research were collected by using the e-learning attitude scale applied to students who took the digital literacy course in Bayburt University in the Spring semester of 2018 -2019 academic year. The data obtained were analyzed using the SPSS program and the necessary statistical results were edited. As a result of the analysis, it was concluded that the attitudes of students who took the digital literacy course towards e-learning were at a medium level. It was determined that the gender of the participants, the department they are affiliated with, andthe digital literacy course midterm exam gradeaffect the attitude towards e-learning. In addition to this result, it was observed that the grade level and the overall weighted average did not affect the attitude. In line with the results obtained, it has been suggested that other coursescan be given by distance education for students who will take the digital literacy course.It is thought that the results obtained will contribute to universities and digital literacy course content planners who are experiencing digital transformation.
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