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Publication Metadata only Gender differences between theoretical and practical achievements of CS students(ELSEVIER SCIENCE BV, 2010) Alparslan, Erdem; Karahoca, Dilek; Karahoca, Adem; Uzunboylu, Huseyin; Ozcinar, Zehra; Uzunboylu, H; Bahcesehir University; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); Near East UniversityComputer Science (CS) education is more theoretical in earlier classes. After the first year of this theoretical education, the assignments and exams become more practical and applicable. The same situation keeps going in business life for CS and Information Technology (IT) areas. This will result the male outnumbering to the females in education and business life for CS relative areas. In this study, we try to discuss some inferences about this underrepresentation of females in such areas. The more practical nature of CS is held as a basis of statistical hypothesis and some statistical tests are performed on theoretical and practical overall grades of female and male students in Bahcesehir University. The results and findings are delivered with the final discussions. (C) 2010 Elsevier Ltd. All rights reserved.Publication Metadata only Deciding which technology is the best for distance education: Issues in media/technology comparisons studies(ELSEVIER SCIENCE BV, 2011) Yengin, Ilker; Karahoca, Adem; Karahoca, Dilek; Uzunboylu, Huseyin; Karahoca, A; Kanbul, S; University of Nebraska System; University of Nebraska Lincoln; Bahcesehir University; Near East UniversityDistance education decision makers, who will be shaping the future of distance education, should understand the role of different technologies and their unique attributes closely. In order to achieve this task accurately, they also need to know the superiorities of different technologies to each other. Media comparison studies have been conducted to see these superiorities and to help deciding which technology is better? In some studies researchers make some fundamental errors and flaws in media comparison studies for distance learning. Hence, there is a need to determine these issues in order to make decision process work better. In this review study, issues on media comparison studies in distance education discussed with theoretical backgrounds. Also in this study, reader could find what kind of flaws can occur in media comparisons studies and what cause to these flaws as well as some suggestions to avoid these flaws. In this study, five of the most significant errors scholars have made in writing and discussing distance education research in technology/media comparisons studies are determined. This study aims to help distance education policy makers, distance education researchers and instructors by making them aware of these issues in comparison studies. Hence, they could make a more accurate decision when implementing distance learning solutions in their institutions. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only Is SMS Still Alive For Education: Analysis Of Educational Potentials Of SMS technology?(ELSEVIER SCIENCE BV, 2011) Yengin, Ilker; Karahoca, Adem; Karahoca, Dilek; Uzunboylu, Huseyin; Karahoca, A; Kanbul, S; University of Nebraska System; University of Nebraska Lincoln; Bahcesehir University; Near East UniversityMobile phone, especially SMS concept is a fairly old technology. In spite of the fact that there are some applications of using SMS capabilities of mobile phones in education, the usage is not widely in all educational areas. Still, there is a need to understand how SMS technology could be applicable for education in different ways. Hence, in this study, authors' investigate possible educational use of SMS by providing a detailed analysis of the technology and examples of different research studies of successful implementations in education. This study may be a guide for school administrators and policy makers to understand educational technology potential of SMS by providing benefits and drawbacks of the technology. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only E-Learning success model for instructors' satisfactions in perspective of interaction and usability outcomes(ELSEVIER SCIENCE BV, 2011) Yengin, Ilker; Karahoca, Adem; Karahoca, Dilek; Karahoca, A; Kanbul, S; University of Nebraska System; University of Nebraska Lincoln; Bahcesehir UniversityE-learning approaches could be handled in a system design view in which the system components and factors have critical roles in order to assure success of whole system. In such an e-learning design view, online instructors (or faculties) have the most critical role as the most important actor. Therefore there is an emerging need for investigating the factors affecting instructors' performance in e-learning systems. Satisfaction is one of these factors that affect usability of the system which also directly affect instructors' performance. In this study, factors related to instructors' satisfaction in e-learning systems have been investigated in order to develop a basic model called E-Learning Success Model for Instructors' Satisfactions which is related to social, intellectual and technical interactions of instructors in whole e-learning system. E-Learning Success Model for Instructors' Satisfactions could be a basic guide for e-learning designers, online instructors and policy makers to understand interaction and usability outcomes related to satisfaction of instructors. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only Roles of teachers in e-learning: How to engage students & how to get free e-learning and the future(ELSEVIER SCIENCE BV, 2010) Yengin, Ilker; Karahoca, Dilek; Karahoca, Adem; Yucel, Ahmet; Uzunboylu, H; Bahcesehir University; University of Nebraska System; University of Nebraska LincolnIn this paper a model of teachers' role in the e-learning system has been discussed. According to the model this paper provides pathways for teachers to create online courses that engage students into e-learning more effectively. More over in the second part of the model, this paper presents information for teachers about how to benefit from free tools to create lessons and applications for e-learning. (C) 2010 Elsevier Ltd. All rights reserved.Publication Metadata only Classification of confidential documents by using adaptive neurofuzzy inference systems(ELSEVIER SCIENCE BV, 2011) Alparslan, Erdem; Karahoca, Adem; Bahsi, Hayretdin; Karahoca, A; Kanbul, S; Bahcesehir University; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)Detecting the security level of a confidential document is a vital task for organizations to protect the confidential information encapsulated in. Diverse classification rules and techniques are being applied by human experts. Increasing number of confidential information in organizations are making difficult to classify all the documents carefully with human effort. A hybrid approach involving support vector classifier and adaptive neuro-fuzzy classifier is proposed in this study. Also states preprocessing tasks required for document classification with natural language processing. To represent term-document relations a recommended metric TF-IDF was chosen to construct a weight matrix. Agglutinative nature of Turkish documents is handled by Turkish stemming algorithms. At the end of the article some experimental results and success metrics are projected with accuracy rates. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only Benchmarking Data Mining Methods in CAT(SPRINGER-VERLAG BERLIN, 2012) Ince, Ibrahim Furkan; Karahoca, Adem; Karahoca, Dilek; Huang, D; Gan, Y; Gupta, P; Gromiha, MM; University of Tokyo; Bahcesehir UniversityIn this study, a ranking test problem of Computer Adaptive Testing (CAT) is benchmarked by employing three popular classifiers: Artificial Neural Network (ANN), Support Vector Machines (SVMs). and Adaptive Network Based Fuzzy Inference System (ANFIS) in terms of ordinal classification performances. As the pilot test. History of Civilization class which offered in Bahcesehir University is selected. Item Response Theory (IRT) is focused for the determination of system inputs which are item responses of students, item difficulties of questions, and question levels. Item difficulties of questions are Gaussian normalized to make ordinal decisions. The distance between predicted and expected class values is employed for accuracy estimation. Comparison study is conducted to the ordinal class prediction correctness and performance analysis which is observed by Receiver Operating Characteristic (ROC) graphs. The results show that ANFIS has better performance and higher accuracy than ANN and SVMs in terms of ordinal question classification when the ordinal decisions are practically made by Gaussian Normal Distribution and ROC graphs are focused to observe any significant difference among the performances of classifiers.Publication Metadata only Hello World, Web Mining for E-Learning(ELSEVIER SCIENCE BV, 2011) Mustapasa, Oguz; Karahoca, Adem; Karahoca, Dilek; Uzunboylu, Huweyin; Karahoca, A; Kanbul, S; Bahcesehir University; Near East UniversityAs the internet and mobile applications are getting an important role in our lives, usage of mobile services also took place in educational field since the internet is widespread, which is usually called by the terms e-learning or distance learning. A known issue on e-learning is all the content's being online and less face-to-face communication than traditional learning, this brings the problem of chasing student's success, and advising and managing student's way of studying. Hence, a recent hot topic, data mining, can be applied on student's data left on e-learning portals to guide the instructor and advisors to help students' being more successful. Recent researches done on this topic showed that e-learning combined with data mining can decrease the gap between itself and traditional learning - referred as semantic web mining in general. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only Robotics teaching in primary school education by project based learning for supporting science and technology courses(ELSEVIER SCIENCE BV, 2011) Karahoca, Dilek; Karahoca, Adem; Uzunboylu, Huseyin; Karahoca, A; Kanbul, S; Bahcesehir University; Near East UniversityThis study investigates robotics education to support science and technology courses for primary school education in Private Evrim College in Istanbul. This research is a kind of case study on a group of students who are having a robotics education. The robotics education is not only providing information to students about robot making also help them to improve their skills and abilities. First starting point is introducing equipments for designing electronic circuits and teaching fundamental principles for robot making. Robotics education performed with 16 students between 10 and 15 years old and they are distributed in 4 groups. In the research, it will be seen that students can learn and apply their skills on designing circuits while they are discussing with classmates by the means of collaborative learning and project based learning. Also, students have been attended to the race in their schools. Furthermore the winner group is competed in a robotics competition which is held every year in Istanbul Technical University. Consequently, the findings and evaluations help to understand that robotics education to support students' life, moreover, affecting their science performance and relationships with friends in class positively. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only ANFIS Supported Question Classification in Computer Adaptive Testing (CAT)(IEEE, 2010) Karahoca, Adem; Karahoca, Dilek; Ince, Furkan; Bahcesehir University; Kyungsung UniversityE-learning has become a major trend in the computer assisted teaching with the rapid development of Internet technologies. Web-based education is a very important component of education technology. One of the main advantage is the classroom and platform independence. Implementing Artificial Intelligence (Al) techniques to support efforts to improve the Web's intelligence and provide better services to the end users. In this study, three popular Al methods: Artificial Neural Network (ANN), Support Vector Machines (SVM), and Adaptive Network Based Fuzzy Inference System (ANFIS) were benchmarked in terms of effectiveness and performance within a Web-based environment. As the pilot test, History of Civilization class was selected. The question classification abilities depending on the item responses of students, item difficulties of questions, and question levels were determined by using Gaussian Normal Curve. Comparison study was conducted by considering the performance and class correctness of the sample questions (n=13) by using the given three inputs. The results showed that ANFIS has better performance than ANN and AVM in web-based education.