Browsing by Author "Ekin, Cansu Çiğdem"

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Citation Count: 0
AI-Driven Drought Management System: A Turkish Case Study
(Institute of Electrical and Electronics Engineers Inc., 2023) Sabamehr,M.; Ekin,C.C.; Computer Engineering
Nowadays, drought is one of the trending topics in the world that has turned into a challenge for the world. By developing countries and cities worldwide, especially in the economic aspect, governments started to damage the environment such as through the use of fossil fuels, pollution of the seas, unregulated use of fresh water also deforestation for personal purposes. The presented research aims to change the format of drought mitigation strategies from traditional ways into the up to date treats. Leveraging AI technologies, including machine learning algorithms and data analytics, a comprehensive AI-driven drought management system is designed and implemented. In this system, inconsistent data have been obtained from the Ministry of Agriculture and Forestry organization and transformed into insightful data and analyzed in real-Time style to provide the status of agricultural products in Turkey. This research contributes to the fields of environmental science and agriculture by innovatively augmenting traditional approaches with AI-driven solutions. Ultimately, our research offers a means to monitor weather conditions in different regions of Turkey, moving beyond manual drought prediction and guesswork that were prevalent in previous systems. Additionally, it facilitates the evaluation of vegetation health by considering precipitation and temperature averages in each area. © 2023 IEEE.
Citation Count: 63
An Application of the Fuzzy ELECTRE Method for Academic Staff Selection
(Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
There are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.
Citation Count: 1
Bibliometric Analysis of Game-Based Researches in Educational Research
(int Soc Technology Education & Science-istes, 2022) Ekin, Cansu Cigdem; Gul, Abdulmenaf; Computer Engineering
This research aims to conduct a bibliometric study to describe how game-based educational research is structured and how it has evolved over time. For this purpose, bibliometric analysis has been used to analyze 4980 publications indexed by the Elsevier SCOPUS database between 1967 and May 2021. The related publications were evaluated by analyzing co-authorship, co-occurrence, and citation by considering author, keyword, country, journal, university, and publication variables. As a result of the bibliometric analysis, it was concluded that the United States was leading the field and significantly publishing more studies. Top performing organizations were in Taiwan and the United States. According to the keyword co-occurrence analysis, "game-based learning" was the most used keyword followed by "serious games" and "gamification". Co-authorship status results show that collaboration between researchers in the field was not high and the number of researchers in co-author groups was small. It was found that the most influential research was related to literature review on games and the effectiveness of games on motivation or learning and Computers & Education was the most published and cited journal in game-based educational research.
Citation Count: 0
Contemporary Research Trends in Mobile Learning
(Springer Science and Business Media Deutschland GmbH, 2024) Ekin,C.C.; Algabsi,S.E.; Computer Engineering
This study attempts to conduct a bibliometric analysis of the structure and development of mobile learning research. For this, 7829 publications included in the Elsevier SCOPUS database between 1984 and 2021 were examined using bibliometric analysis by identifying key research areas, most influential authors, co-authorship status of countries, and organizations. As a result of this study, most topics related to mobile learning were Computer Science. “Mobile Learning” was the most used keyword followed by “e-learning” and “higher education”. Top performing organizations were in Taiwan. Taiwan was the major contributor in m-learning publications’ co-citation with other co-authorship countries. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Citation Count: 6
Curriculum Change Parameters Determined by Multi Criteria Decision Making (MCDM)
(Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar; Industrial Engineering; Computer Engineering
Curriculum, research, instruction, learning and assessment are the pulse of the university. The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in Industrial engineering curriculum design and planning. A comprehensive quality based course criterion model extracted from existing literature and expert opinions was developed. Multi Criteria Decision Making (MCDA) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal four Industrial engineering curriculum for Bachelor's Degree students in Turkey.. The hierarchical model and analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating Industrial Engineering programs. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center.
Citation Count: 27
The DEA - FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University
(Budapest Tech, 2010) Rouyendegh, Babak Daneshvar; Erol, Serpil; Computer Engineering
Proposed in this study is a hybrid model for supporting the department selection process within Iran Amirkabir University. This research is a two-stage model designed to fully rank the organizational departments where each department has multiple inputs and outputs. First, the department evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank-scale the units via the Fuzzy Analytical Network Process (FANP). The FANP method adopted here uses triangular fuzzy numbers. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. DEA-FANP ranking does not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all departments, efficient and inefficient.
Citation Count: 0
Deep Learning and Current Trends in Machine Learning
(Ieee, 2018) Bostan, Atila; Sengul, Gokhan; Tirkes, Guzin; Ekin, Cansu; Karakaya, Murat; Computer Engineering
Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain.
Citation Count: 16
Design and development of a smart storytelling toy
(Routledge Journals, Taylor & Francis Ltd, 2014) Kara, Nuri; Aydin, Cansu Cigdem; Cagiltay, Kursat; Computer Engineering
Because computers generally make children passive listeners, new technological devices need to support children's storytelling activities. This article introduces the StoryTech, a smart toy that includes a virtual space comprised of computer-based graphics and characters as well as a real space that involves stuffed animals, background cards and a receiver panel. When children put real objects on the receiver panel, the computer displays related backgrounds and characters. Through this flexible context, children are expected to tell a story about what they see on the screen. The aim of this article is to present the development period of the StoryTech and to provide design principles for smart toy technologies based on the usability study. The article focuses on attributes of new technology and the significance of supporting storytelling activities to find the best combination of and moderation between real and virtual spaces.
Citation Count: 17
Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy MCDM Approach: A Theoretical Framework
(Hindawi Ltd, 2018) Abdulgader, Fathia Sghayer; Eid, Rajeh; Rouyendegh (B Erdebilli), Babak Daneshvar; Mathematics; Computer Engineering
In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application.
Citation Count: 0
Distance laboratory applications ERRL
(Ieee, 2008) Aydin, C. C.; Turkmen, G.; Ozyurt, E.; Aydin, E. U.; Cagiltay, N. E.; Ozbek, M. E.; Kara, A.; Computer Engineering; Department of Electrical & Electronics Engineering
In the last decade, the effect of internet usage in education is gradually increased. When we look from academic perspective, the new technologies provided alternatives for students learning. As distance education becomes important everyday, the indispensable elements of teaching and education, laboratories must be reachable via remote connection. Consequently, the education that is going to be given to the students will be more flexible with respect to place and time constraints and students can reach laboratory facilities at any time and anywhere not only in lectures and practical hours. In this study, European Remote Radio Laboratory (ERRL) which is a distance remote Radio Frequency (RF) laboratory designed for electrical-electronics students, is described generally. The software architecture, infrastructure and experiment that can be done with a remote connection have been described.
Citation Count: 13
Drawing the big picture of games in education: A topic modeling-based review of past 55 years
(Pergamon-elsevier Science Ltd, 2023) Ekin, Cansu C.; Polat, Elif; Hopcan, Sinan; Computer Engineering
The literature of games in education has a rich and multidisciplinary content. Due to the large number of studies in the field, it is not easy to analyze all relevant studies. There are few studies exploring the big picture of research trends in the field. For this reason, the purpose of this study is to examine longitudinal trends of game-based research in education using text mining tech-niques. 4980 publications were retrieved as an experimental dataset indexed by the SCOPUS database in the period 1968 to mid-2021. The results include descriptive statistics of game-based research, trends of the research topics, and trends in the frequency of each topic over time. They show that the number of studies focusing on the use of games in education has increased, particularly since the 2000s when Internet use accelerated and became widespread. Approxi-mately 70% of all the studies were conducted in the last 10 years. One third of the studies is related to the main topic of game-based learning. It is significant that in the last three decades the topic of serious games has been among the top three trends. Considering usage acceleration of the topics, the highest values belong to game-based learning, serious games and student science games, in that order. The findings of this study are expected to guide the field by providing a better understanding of the trends of games in education and offer a direction for future research.
Citation Count: 7
Effectiveness of smart toy applications in teaching children with intellectual disability
(Elsevier, 2018) Ekin, Cansu C.; Cagiltay, Kursat; Karasu, Necdet; Computer Engineering
Play is an important element in a child's social and intellectual development and toys are indispensable play tools. This study investigates the effectiveness of smart toys in teaching social studies concepts to children with intellectual disability (ID). A single-subject design is used to identify such effects on teaching social studies concepts to children with ID with the help of smart toys developed within this study. The smart toys are also developed within the scope of present work. Three special education teachers and three children with moderate ID participated in the study, which was carried out in two schools in Turkey. According to the results, smart toys have a positive effect in teaching social studies concepts to children with moderate ID which is significant in development of academic and social skills for individuals with ID.
Citation Count: 1
Effects of BPR on ERP Implementation Success and Supply Chain Performance
(Acad Conferences Ltd, 2012) Erkan, Erman; Bac, Ugur; Rouyendegh, Babak Daneshvar; Industrial Engineering; Computer Engineering
Recently, studies about the Enterprise Resource Planning (ERP) have been increased and this research area has attracted more attention. Especially, in the global competition environment, enterprises have to focus on their Information Systems (IS) performance to have a competitive advantage; implementing an ERP system and improving the effectiveness of the system is the only way. To do so; factors affecting the implementation success of ERP systems have to be inspected in pursuant of some performance measurements and metrics. Since unsuccessful ERP implementations result in high costs; use of these factors and making the necessary preparations will increase the chance of a successful ERP implementation. According to literature Business Process Reengineering (BPR) has a vital role on the ERP success. In this study, a research has been made on the Turkish enterprises to determine the criteria affecting their success on the implementation of ERP systems by the utilization of a questionnaire. Questionnaire results have been analyzed with statistical methods to summarize the current situation of IS structure, Information Management Systems integration level, ERP success rate and effects of BPR on this success rate in Turkish enterprises. Results of this study can be used to define the relation between the ERP and BPR. Understanding this relation is vital for the planned or ongoing ERP implementations. Factors and criteria found in this study which have effects on the ERP systems success should be considered during the implementation planning phase of these systems for efficiently managing the budget of projects. Importance of BPR which was emphasized in this study should be considered by the management of enterprises for evaluating their IS to determine if they are ready for the implementation phase. If they are not, findings will serve as a guideline for improving the chance of successful implementation and this will affect overall performance of the company. Results of this study can also be used in the future studies to compare international differences of IS structures and ERP implementation processes.
Citation Count: 1
A Fuzzy AHP for Evaluation of eCommerce Websites Performance
(Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar; Computer Engineering
eCommerce has become an essential part of business strategy in the rising (emerging) global economy. In order to be successful in the eCommerce marketplace, organizations will need to provide high quality websites that attract and retain users. It is a need to understand and evaluate eCommerce websites to achieve high quality. Evaluation of eCommerce websites is a multiple criteria decision making (MCDM) problem since it includes analysis of both qualitative and quantitative factors. Also human judgment has taken part in this process. This paper presents FAHP to evaluate three eCommerce websites. The results will be a guide for decision makers in terms of improvable areas to design eCommerce websites.
Citation Count: 0
How assessment system of an open source learning management system can be integrated to a remote laboratory application? Problems and solutions
(Ieee, 2007) Aydin, Cansu Cigdem; Cagiltay, Nergiz Ercil; Computer Engineering; Software Engineering
Most of the education programs need an assessment system for formative and summative evaluation purposes. Similarly, in the ERRL* project which is a distance remote radio frequency laboratory application, assessment system is required. However, developing an assessment system cost is very high and requires some extra time for testing and development purposes. Open source systems provide these services in a standard way. Since the source is open, it is possible to make some modifications to better adapt these systems to the requirements of developed systems. Similarly, in the Moodle part of the system we need to integrate the test and the experiment platforms. hi order to better guide the learners in the system, they should take some tests about the devices and the theoretical content included in the system. It is important to prevent users Who do not have the enough knowledge directed to the experiments platform. These testing requirements should be integrated into the remote laboratory system, so that, the learners should not need to jump between different systems and interfaces. This article presents implementation process of open source Learning Management System software's assessment module to a remote laboratory application and it also discusses the advantages, disadvantages of using an open source Web based assessment system.
Citation Count: 3
Improving the creativity in introductory engineering course applying fuzzy network process: a pilot study
(Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Ergin, Merve Hande; Salar, Menekse; Industrial Engineering; Computer Engineering
In Engineering Design course, students' background, knowledge and skills should be considered to stimulate the creativity. Thus, the Analytic Network Process (ANP) has been used in deciding the factor that ignites creativity. However, there is uncertainty and vagueness existing in the judgment of students' need and expectations. Fuzzy ANP approach is used to determine a way in improving the creativity of the students in introductory engineering course. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. The findings will help the instructor to improve and modify the delivery of the course to meet the course objectives. (C) 2011 Published by Elsevier Ltd.
Citation Count: 26
Investigating the Activities of Children toward a Smart Storytelling Toy
(Natl Yunlin Univ Science & Technology, Taiwan, 2013) Kara, Nuri; Aydin, Cansu Cigdem; Cagiltay, Kursat; Computer Engineering
This paper introduces StoryTech, a smart storytelling toy that features a virtual space, which includes computer-based graphics and characters, and a real space, which includes plush toys, background cards, and a communication interface. When children put real objects on the receiver panel, the computer program shows related backgrounds and characters on the screen. StoryTech encourages children to produce their own stories. Empirical research with a total of 90 children indicated that StoryTech contributed to narrative activities of children and made a positive impact on their creativity. The paper also focuses on the attributes, design, and development process of StoryTech.
Konu modelleme ile varlığından bügüne kadar mobil öğrenme alanındaki araştırmaların tema ve trendlerinin tespiti
(2021) Algabsı, Salah Eddın; Ekin, Cansu Çiğdem; Computer Engineering
Günümüzde mobil telefonlar sadece bir telefon olarak değil, aynı zamanda bireyleri eğitmek için kullanılabilecek, öğrenme için gelişmiş özellikler sağlayan ve bilim adamlarının yeni bir modern eğitim paradigması geliştirmek için mobil cihazlardan yararlanma konusundaki ilgisinin artmasına yol açan akıllı cihazlardır. Son zamanlarda, Covid-19 pandemisinin etkisiyle, dünya çapındaki ülkeler, özellikle çevrimiçi/e-öğrenme olmak üzere uzaktan öğrenme teknolojileri geliştirmeye daha fazla yönelerek Mobil Öğrenme (m-öğrenme) ortamlarının daha çekici ve yaygın olmasını sağladı. Bu çalışma, mobil öğrenmenin varlığından günümüze kadar olan tüm araştırma eğilimlerini tespit etmeyi amaçlamaktadır. İlk olarak, bu çalışmada, alan bilgisinin önceki durumunu değerlendirmek için m-öğrenmede önceki çalışmalar hakkında geniş spektrumlu bir literatür taraması gerçekleştirilmiştir. İkinci olarak, çalışma, mobil öğrenme yayınlarının içeriğine Latent Dirichlet Allocation (LDA) Konu Modellemesi ile metin madenciliği teknikleri uygulamıştır. Uygulanan analiz sonucunda, m-öğrenmede 12 baskın konu tespit edilmiştir. İlk üç konu: 'Mobil Teknoloji ile Öğrenim', 'Öğrenci Dil Öğrenim' ve 'Öğrenme Tasarımı' dır.
Makine öğrenme tekniklerini kullanarak öğrencinin akademik performansinin tahmin edilmesi
(2023) Doost, Mırwaıs; Ekin, Cansu Çiğdem; Computer Engineering
Son dönemde eğitim sektörü, dünya genelinde insanların en fazla ilgisini çeken sektörlerden biri haline gelmiş ve bu, bu sektöre yatırım yapmak ve gelir elde etmek isteyenler için daha değerli hale gelmiştir. Bu nedenle, bu alanı daha istikrarlı hale getirmek için büyük çaba harcanmaktadır. Öğrenciler, bu alandaki en büyük paydaşlardır ve bu nedenle eğitimde daha fazla dikkat gerektirirler. Tüm üniversiteler, öğrencilerinin memnuniyetini sağlamak ve eğitim kalitesini artırmak için çaba sarf etmektedir. Çünkü eğitim kalitesi, öğrencilerin başarı oranı ve kurumun öğrencilerini elinde tutma yeteneğine bağlıdır. Öğrenci performansını tahmin etmek, başarısızlık riski taşıyan öğrencileri tanımlamanın bir yolu olduğu için yönetim, öğrenci performansını artırmak için kararlar alabilir. Bu analizler, Eğitim Veri Madenciliği (EDM) olarak adlandırılan, sonuçlar üretmek için çok büyük veri kümelerini keşfedebilen Makine Öğrenimi (ML) alt kümesi aracılığıyla gerçekleştirilebilir. Bu çalışmanın ana amacı, en uygun veri madenciliği algoritmalarını kullanarak öğrenci akademik performansını tahmin etmek ve lisans düzeyinde bilgisayar mühendisliği öğrencilerinin performansını etkileyen faktörleri belirlemektir. Öğrenci akademik performansı, Final Notu, Çalışma Süresi ve Bir Sonraki Dönem Ders Notu olmak üzere üç farklı açıdan analiz edilmiştir. Sonuçlarımız, Destek Vektör Makinesi (SVM) ve Karar Ağacı (DT) gibi iki en iyi ML algoritmasının olduğunu göstermektedir ve ayrıca sadece Final Notunun tahminde en değerli faktör olduğunu göstermiştir.
Citation Count: 0
MBA Students' preference on: online, formal and hybrid MBA programs
(Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
In recent years, there has been a rapid rise in student enrolments in both online and formal MBA programs. This study is based on the results of a case study in which over 30 students enrolled in a top-ranked online and formal MBA program. Thus, the Fuzzy Analytic Hierarchy Process (FAHP) has been used for choosing the program. Due to the inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process, the FAHP has been used. The result of the research is interesting since neither an online nor a formal education program is preferred; a hybrid one has been developed. (C) 2011 Published by Elsevier Ltd.