Yazar "Kor, Hakan" seçeneğine göre listele

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    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, Hasan
    Activities 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.
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    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, Hamit
    Today'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.
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    GLOBAL SOLAR RADIATION PREDICTION MODEL WITH RANDOM FOREST ALGORITHM
    (Vinca Inst Nuclear Sci, 2021) Kor, Hakan
    Global solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of solar radiation are emerging. With the availability of the public data on solar radiation, computerized models have been developed as well. These predictive models play signcant role in determining the potentials of regions suitable for renewable energy generation required by engineering and agricultural activities. Herein a computerized model has been presented for estimating global solar radiation. The model utilizes random forest algorithm and reached predictive value of 93.9%.
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    Study on Professional Guidance on Teaching Settings
    (Elsevier Science Bv, 2014) Aksoy, Hamit; Kor, Hakan; Akmese, Omer Faruk; Erbay, Hasan
    Vocational guidance activities have an important role during the learning process. The happiness of individuals in their career is directly related with their love of the job they do. As a consequence, the importance should be paid to the vocational preference in the early stages of educational life. In this study, a research has been carried out about the secondary school students in Turkey. In the first step of the study students are asked which profession they will prefer. In the second step Personality Inventory Holland test is applied to students in order to see which profession field they tend to. In the last part of the research, the findings that are gathered by comparing the profession that each student in the sample would like to choose and the profession or professions that the student is apt to as a result of the test will be interpreted and suggestions will be offered to student him/herself, his family and to the institutions that is thought to be suitable. (C) 2014 Published by Elsevier Ltd.
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    USE OF MACHINE LEARNING TECHNIQUES FOR THE FORECAST OF STUDENT ACHIEVEMENT IN HIGHER EDUCATION
    (Natl Acad Pedagogical Sciences Ukraine, Inst Info Technol & Learning Tools, 2021) Akmese, Omer Faruk; Kor, Hakan; Erbay, Hasan
    The machine learning method, which is a sub-branch of artificial intelligence and which makes predictions with mathematical and statistical operations, is used frequently in education as in every field of life. Nowadays, it is seen that millions of data are recorded continuously, and a large amount of data accumulation has occurred. Although data accumulation increases exponentially, the number of analysts and their capabilities to process these data are insufficient. Although we live in the information age, it is more accurate to say that we live in the data age. By using stored and accumulated data, it is becoming increasingly essential to reveal meaningful relationships and trends and to make predictions for the future. It is important to analyze the data obtained from the education process and to evaluate the success of the students and the factors affecting success. These analyses may also contribute to future training activities. In this study, a data set, including socio-demographic variables of students enrolled in distance education at Hitit University, was used. The authors estimated the success of the students with demographic and social variables such as age, gender, city, family income, family education level. The primary purpose is to provide students with information about their estimated academic achievement at the beginning of the process. Thus, at the beginning of the education process, students' success can be increased by informing the students who are predicted to be unsuccessful. Diversification and enhancement of this data may also support other decision-making mechanisms in the training process. Additionally, the factors affecting students' academic success were researched, and the students' educational outcomes were evaluated. Prediction success was compared using various machine learning algorithms. As a result of the analysis, it was determined that the Random Forest algorithm was more predictive of student achievement than others.