Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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  • Article
    Lise Öğrencilerine Bilgisayar Donanımı Öğretimi: Devremi Kuruyorum
    (Ege Üniversitesi, 2017) Çiloğlugil, Birol; Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    Bu çalışmada, lise öğrencilerinin bilgisayar donanımının temellerini ve ilişkili olduğu matematiksel altyapıyı kavramalarını hedefleyen bir mühendislik farkındalık projesinin yapısı ve sonuçları ortaya konmaktadır. Proje kapsamında temel sayısal elektronik devre tasarımı prensipleri tanıtılmaktadır. Gerçek hayat problemlerinin bir donanım laboratuvarı ortamında öğrencilerin kendi tasarımları ile uygulanması sağlanarak proje içeriği zenginleştirilmiştir. Proje süresince öğrencilerin aktif olduğu tasarım etkinlikleri yardımıyla tecrübe ederek öğrenmeleri yoluna gidilmiştir. Ayrıca, sosyal etkinlik olarak, kampüs yaşamı ve tesislerin tanıtımı için kampüs gezisi ve yaratıcı drama kullanılmıştır. Bunlara ek olarak, proje kapsamında öğrenciler elektronik ve bilgisayar mühendisliği alanları ile ilgili bilgilendirilmiştir. Bu çalışma 35, 10. sınıf öğrencisi ile gerçekleştirilmiştir. Projenin eğitsel bölümü beş günde tamamlanmıştır. Mini sınavlar, günlük sanal sınıf oturumları, mesleki eğilim belirleme cetveli, proje değerlendirme formu, genel değerlendirme oturumu (odak grup görüşmesi) ve veli geribildirimleri proje çıktılarının değerlendirilmesi için kullanılmıştır. Proje ekibinin, öğrencilerin ve velilerin proje ile ilgili olumlu geribildirimleri, önümüzdeki yıllarda bu projenin geliştirilmiş yeni sürümleri üzerinde çalışmak için teşvik edicidir.
  • Conference Object
    Citation - WoS: 11
    Citation - Scopus: 20
    Learning Styles Diagnosis Based on Learner Behaviors in Web Based Learning
    (Springer Verlag, 2009) Atman, Nilüfer; İnceoğlu, Mustafa Murat; Aslan, Burak Galip
    Individuals have different backgrounds, motivation and preferences in their own learning processes. Web-based systems that ignore these differences have difficulty in meeting learners' needs effectively. One of these individual differences is the learning style. For providing adaptively incorporated learning styles, firstly learning styles of learners have to be identified. There are many different learning models in literature. This study is based on Felder and Silverman's Learning Styles Model and investigates only active/reflective and visual/verbal dimensions of this model. Instead of filling out a questionnaire, learner behaviors are analyzed with the help of literature-based approaches so that learning styles of learners can be detected.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 1
    Effect of Bayesian Student Modeling on Academic Achievement in Foreign Language Teaching (university Level English Preparatory School Example)
    (Educational Consultancy and Research Center, 2014) Aslan, Burak Galip; Öztürk, Özlem; İnceoğlu, Mustafa Murat
    Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles Questionnaire. The questionnaire was adapted to Turkish for this experimental study conducted with respect to the visual/verbal and active/reflective dimensions of the model. A topic in EFL was chosen for the learning content design, which was also carried into the digital domain and remastered as separate learning scenes for different learning styles. Computer software was also implemented to carry out the experimental learning processes. A quasi-experimental pre-test, post-test design was conducted with 46 volunteers, with 23 students assigned each to a control and an experimental group to compare academic achievement between student-based learning and conventional computer-based learning. No significant difference was found in academic achievement between the control and experimental groups after the experimental treatment. The diagnostic performance of the proposed student modeling system was also compared with performances from similar studies. This student modeling system had a successful prediction rate of 41% on the visual/verbal dimension and 54% on the active/reflective dimension, respectively.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 12
    A Review of Cloud Deployment Models for E-Learning Systems
    (Institute of Electrical and Electronics Engineers Inc., 2013) Leloğlu, Engin; Ayav, Tolga; Aslan, Burak Galip
    With the significant growth in the cloud-based systems, many industries give their attention to cloud computing solutions. E-learning is a promising application area since its typical requirements such as dynamically allocation of computation and storage resources, coincide well with cloud characteristics. This paper presents some possible cloud solutions in e-learning environments by emphasizing its pros and cons. It is of paramount importance to choose the most suitable cloud model for an e-learning application or an educational organization in terms of scalability, portability and security. We distinguish various deployment alternatives of cloud computing and discuss their benefits against typical e-learning requirements.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 5
    Machine Learning Based Learner Modeling for Adaptive Web-Based Learning
    (Springer Verlag, 2007) Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    Especially in the first decade of this century, learner adapted interaction and learner modeling are becoming more important in the area of web-based learning systems. The complicated nature of the problem is a serious challenge with vast amount of data available about the learners. Machine learning approaches have been used effectively in both user modeling, and learner modeling implementations. Recent studies on the challenges and solutions about learner modeling are explained in this paper with the proposal of a learner modeling framework to be used in a web-based learning system. The proposed system adopts a hybrid approach combining three machine learning techniques in three stages.
  • Conference Object
    Citation - WoS: 8
    Citation - Scopus: 15
    A Comparative Study on Neural Network Based Soccer Result Prediction
    (Institute of Electrical and Electronics Engineers Inc., 2007) Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    This study mainly remarks the efficiency of black-box modeling capacity of neural networks in the case of forecasting soccer match results, and opens up several debates on the nature of prediction and selection of input parameters. The selection of input parameters is a serious problem in soccer match prediction systems based on neural networks or statistical methods. Several input vector suggestions are implemented in literature which is mostly based on direct data from weekly charts. Here in this paper, two different input vector parameters have been tested via learning vector quantization networks in order to emphasize the importance of input parameter selection. The input vector parameters introduced in this study are plain and also meaningful when compared to other studies. The results of different approaches presented in this study are compared to each other, and also compared with the results of other neural network approaches and statistical methods in order to give an idea about the successful prediction performance. The paper is concluded with discussions about the nature of soccer match forecasting concept that may draw the interests of researchers willing to work in this area.
  • Conference Object
    Computational Sciences Learning Project for Pre-University Students
    (Springer Verlag, 2007) İnceoğlu, Mustafa Murat; Aslan, Burak Galip
    It is quite useful for high school students to study on computational sciences, especially for those who are planning to have a higher education in engineering. This paper proposes a pilot study on 9th and 10 th grade students for teaching them the basic aspects of computer sciences. This study focuses on a schedule consisting two consecutive courses - first one theoric and the second one is applied - for student volunteers from science high schools.