Birol ÇİLOĞLUGİL
Bilgisayar Ve Bilişim Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Bilgisayar Donanımı Anabilim Dalı
Research areas: Engineering and Technology, Computer Sciences, Artificial Intelligence, Computer Learning and Pattern Recognition, Education, Social Sciences and Humanities, Smart Factors, Computer Learning, Computer Education and Instructional Technology, Natural Sciences, bioinformatics
Publications
- A multi-feature approach for musical instrument classification using machine learning (2026)
- A Restaurant Management System Based on Multi-Agent Oriented Programming Paradigm (2026)
- Use of Metaverse in Education (2022)
- A Multi-agent Based Adaptive E-Learning System (2021)
- Industry 4.0 Briefcase: An Innovative Engineering Outreach Project for Professions of the Future (2020)
- Investigating the Effect of a Mobile Learning Application for Graph Theory Education on Academic Performance (2020)
- Eğitimde Yapay Zekâ Uygulamaları (2020)
- Investigating the Effect of a Mobile Learning Application for Graph Theory Education on Academic Performance (2020)
- Industry 4.0 Briefcase: An Innovative Engineering Outreach Project for Professions of the Future (2020)
- Open Courseware-Based Logic Design Course (2020)
- Acquisition of Teamwork Competence in a Hardware Course: Perceptions and Co-regulation of Computer Engineering Students (2020)
- Malicious Code and Activity (2019)
- Enhancing Computer Engineering Student’s Learning: Pedagogical Implications for Logic Design Course (2019)
- Öğrencilerin Takım Çalışması Yeteneklerinin Bireysel ve Akran Değerlendirmeleri ile İncelenmesi (2019)
- Mantık Tasarımı Dersi için Açık Uçlu Sorulardan Oluşan Bir Ölçme Aracı Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması (2019)
- Sensör Tabanlı Nesnelerin İnterneti Verilerinin MongoDB ile Saklanma ve Sorgulanma Performansının Değerlendirilmesi (2018)
- A Learner Ontology Based on Learning Style Models for Adaptive E-Learning (2018)
- Learner Modeling With Ontologies Based On Learning Style Models (2018)
- An Adaptive E-Learning Environment Architecture Based on Agents and Artifacts Metamodel (2018)
- An Agents and Artifacts Metamodel Based E-Learning Model to Search Learning Resources (2017)
- Exploiting Agents and Artifacts Metamodel to Provide Abstraction of E-Learning Resources (2017)
- A Script Language Designed for A Mobile Learning System on Graph Theory Education (2017)
- Representation of Graphs in A Mobile Learning Application for Graph Theory Education (2017)
- The Ethical And Privacy Issues Related To Programming Education Data (2017)
- Öğrenme Analitiği Boyutlarının ve Modellerinin Incelenmesi (2017)
- A Review Of The Semantic Representations Of Felder And Silverman Learning Styles Model (2017)
- Kişiselleştirilmiş Sistemlerde Kullanıcı Gizliliği: E-öğrenme ve Öneri Sistemleri (2017)
- Lise Öğrencilerine Bilgisayar Donanımı Öğretimi: Devremi Kuruyorum (2017)
- Çizge Algoritmaları için Bir Mobil Öğrenme Uygulaması (2017)
- A Felder and Silverman Learning Styles Model Based Personalization Approach to Recommend Learning Objects (2016)
- A Review of the Relationship between Learning Styles and Learning Objects for Adaptive E Learning (2016)
- Adaptivity based on Felder Silverman Learning Styles Model in E Learning Systems (2016)
- Ontology Usage in E Learning Systems Focusing on Metadata Modeling Of Learning Objects (2016)
- Kişiselleştirilmiş E-Öğrenme Sistemlerinde Öğrenme Biçemi Modellerinin Kullanımı (2015)
- User Modeling for Adaptive E-Learning Systems (2012)
- Öğrenme Yönetim Sistemlerinde Adapte Edilebilir Yaklaşımlar (2011)
- Kullanıcı Modellemede Veri Madenciliği Yaklaşımları (2011)
- Developing adaptive and personalized distributed learning systems with semantic web supported multi agent technology (2010)
- E-Ögrenme Sistemlerinde Yapay Zeka Tekniklerinin Kullanımı (2010)
- Exploring the State of the Art in Adaptive Distributed Learning Environments (2010)
- Light-Portal Teknolojisine Dayalı Bir Öğrenme Sistemi Gerçekleştirimi (2008)
- MOGRAPH: Mobile graph algorithms library for engineering students (2007)
- A Survey of Semantic Web Based Recommender Systems for E-Learning
- Leveraging Large Language Models for Natural Language Processing Based Tasks in the Legal Domain: A Short Survey
- Exploring the Navigation Patterns of Learners on an Educational Recommender System
- A Review of Comparative Studies on Performance Evaluation of Communication Mechanisms for Microservices
- Adaptivity based on Felder-Silverman Learning Styles Model in E-Learning Systems
- Evaluation of storage and query performance of sensor based Internet of Things data with MongoDB
- Exploring the State of the Art in Adaptive Distributed Learning Environments