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Öğe Comparison of the Proficiency Level of the Course Materials (Animations, Videos, Simulations, E-Books) Used In Distance Education(Elsevier Science Bv, 2014) Kor, Hakan; Aksoy, Hamit; Erbay, HasanActivities in the field of distance education have shown a significant improvement in the world and Turkey in parallel with the technology. Activities in this field started through newspapers and letters and they were improved by using printed material, radio, television and internet. Recently, as well as the use of computer and internet have become widespread in the world, web-based distance education systems have been used more than the other teaching tools. In Turkey, departments of distance education attached to the Council of Higher Education were opened in large number and they are still continued to be opened. In this paper, in terms of quality and interactivity it is aimed to evaluate the course materials used by the institutions of distance education. Through the surveys applied to the institutions of distance education determined by choosing from the different regions of Turkey, it was aimed to find out the faults and defects of the course materials in terms of quality and interactivity. By sharing the obtained outputs with related institutions, formation of more efficient distance learning materials will be possible. (C) 2014 The Authors. Published by Elsevier Ltd.Öğe An Examination Of The Correlation Between Science And Technology Attitudes Scale, Frequency Of Smartphone Usage Scale And Lifelong Learning Scale Scores Using The Structural Equation Model(Sci Methodical Ctr-Sci Educologica, 2017) Kor, Hakan; Erbay, Hasan; Engin, Melih; Dunder, EmreLifelong learning can be defined as all of the activities which aim to develop an individual's skills, knowledge and abilities, socially, individually and professionally. Previous research on lifelong learning has been about using computers, digital competence and the correlation between demographic characteristics and intelligence. However, only one scale was used in this research, and, in general, only scores for demographic characteristics and lifelong learning were compared. In this research, the correlation between distance-learning students' attitudes to technology, their frequency of use of smartphones and their attitudes to lifelong learning were examined. Reliability studies were carried out prior to the study and the Turkish adaptations of the scales published in international journals were administered with permission. The study sample consisted of 881 students studying in 12 different units of Hitit University: six Vocational Schools, four Faculties and two Graduate Schools. The data were analysed by creating a structural equation model on the open source R analysis program. According to the research results, there was a significant correlation between the three scales, and the correlation between the 'lifelong learning' scores and the 'frequency of of smartphone usage' scores was greater than the 'technology attitudes' scores.Öğe Forming a cloud computing based lifelong learning platform: integration of basic computer courses as mass open online courses to university(Iclel Conferences, 2016) Kor, Hakan; Erbay, Hasan; Aksoy, HamitToday's formal educational institutions remain incapable of keeping people's knowledge up to date. Updating information in fields like general culture, information technology, language education and vocational education is needed. Online learning settings, certificate trainings, in service trainings and social network settings greatly contribute to updating information. The learning function is a lifelong process besides formal educational institutions. Lifelong learning can be defined as individual's whole collaboration of events which aims to develop their knowledge, skills and talents individually, vocationally or socially in order to manage their lives. It can be said that a web based learning settings has contributed to the learning processes the most these days. In this regard, people and especially universities grants free access to supply of information they have through Mass Open Online Courses (MOOC). In order for users to access MOOC, having an internet browser is enough. MOOC is also able to develop lifelong learning skills and brings the participants ways of self-learning and information gathering. Strong hardware and software substructure is needed for an MOOC system which will be accessed by thousands. Rapid developments in information technology have decreased hardware costs significantly. By decreasing the costs, developed software and hardware platforms are formed and brought into mutual use of people. Bringing the hardware and software components (storage, data base, mail services and some private software) into people's mutual use form the basis of cloud computing. Cloud computing systems provide great advantages in terms of cost and workforce. Also, through cloud, many subunits can be managed at one origin. In this study, processes of forming a cloud computing based MOOC platform where basic computer technology subjects are included are given place. Through the formed platform, individuals learn new information in the information technology field or keep their knowledge up to date. This will ease people's learning interest and provide lifelong learning opportunity.Öğe The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis(Hindawi Ltd, 2020) Akmese, Omer F.; Dogan, Gul; Kor, Hakan; Erbay, Hasan; Demir, EmreAcute appendicitis is one of the most common emergency diseases in general surgery clinics. It is more common, especially between the ages of 10 and 30 years. Additionally, approximately 7% of the entire population is diagnosed with acute appendicitis at some time in their lives and requires surgery. The study aims to develop an easy, fast, and accurate estimation method for early acute appendicitis diagnosis using machine learning algorithms. Retrospective clinical records were analyzed with predictive data mining models. The predictive success of the models obtained by various machine learning algorithms was compared. A total of 595 clinical records were used in the study, including 348 males (58.49%) and 247 females (41.51%). It was found that the gradient boosted trees algorithm achieves the best success with an accurate prediction success of 95.31%. In this study, an estimation method based on machine learning was developed to identify individuals with acute appendicitis. It is thought that this method will benefit patients with signs of appendicitis, especially in emergency departments in hospitals.
