Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Citation - WoS: 7Citation - Scopus: 8Using Students' Performance to Improve Ontologies for Intelligent E-Learning System(Edam, 2015) Icoz, Kutay; Sanalan, Vehbi A.; Cakar, Mehmet Akif; Ozdemir, Esra Benli; Kaya, SukruOntologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by evaluating their progress and suggesting instructional material to review based upon their answers. Three main tasks are performed within this framework: building ontologies for the course, measuring a student's understanding level for the concepts, and making personal suggestions to create an individualized learning environment. This paper presents: the integration of ontologies, assisted with student data, together with an intelligent Recommendation Module for the development of an E-learning system; the comparison and correction adaption of ontology from students' mind maps; and the assessment of students' actual weaknesses in comparison to what Recommendation Module suggests. The sample of 127 students, five classrooms, was conveniently selected among seventh grade students of a demographically average school in a major city in Turkey. The students' achievement was assessed and the scores for different questions were investigated for associations with concepts made in the students' minds. The results provided significant correlations among scores, and a fit model for the concepts represented by questions. The student suggested model slightly differed from the ontology map from the experts. Based on the data-supported model, the Recommendation Module more accurately determined the students' learning deficiencies and suggested concepts to be reviewed.Article Citation - Scopus: 4Undergraduates’ Attitudes Towards Distance Education and Perceptions of Readiness for E-Learning During the COVID-19 Pandemic(Anadolu Universitesi, 2022) Kuloğlu, M. Esad; Yıldız, SevilayThe COVID-19 pandemic, which suddenly took the whole world under its influence, also radically affected the educational environments. This research aimed to examine the attitudes of undergraduates towards distance education, their perceptions of readiness for e-learning, and the relationship between these two variables during the COVID-19 pandemic, the effects of which are also felt in higher education. Thus, quantitative research paradigm and correlational design were used in the study. Data were collected online in two weeks via the Attitude Scale towards Distance Learning (ASDL) and E-Learning Readiness Self-Assessment Instrument (ERSI). Using the convenient sampling method, 1422 undergraduate students enrolled in a summer school program at a state university in Turkiye were included in the sample. The findings of the research indicate that the participants’ attitudes towards distance education are moderate, and their perceptions of readiness for e-learning are high-level during the COVID-19 pandemic. There is a moderate positive correlation between these two variables. There are also positive, moderate, or strong correlations between the ASDL and some subscales of the ERSI. The findings of the study provide useful information about the distance education carried out during the COVID-19 pandemic. © 2022 Elsevier B.V., All rights reserved.