جستجوی استاد راهنمای دانشگاهی

Serkan Arıkanمشاهده پروفایل

دانشیار

• Educational Measurement and Evaluation
• Computerized Adaptive Testing
• Large-Scale Educational Assessments
• +۵ مورد دیگر

Assoc. Prof. Dr. Serkan Arıkan is a faculty member at Boğaziçi University's Faculty of Education, Department of Mathematics Education. His research focuses on educational measurement, computerized adaptive testing, non-routine problem solving, and large-scale assessment frameworks like PISA and TIMSS. He has developed psychometric tools for STEM competency evaluation and conducted bias detection studies in international exams. Education : PhD in Secondary Science and Mathematics Education (METU, 2010), Postdoc (Tilburg University, 2015) Awards : Outstanding Achievement in Teaching Award (2021-2022) Research Trends : His recent work includes psychometric validation of self-compassion scales, extending the Community of Inquiry framework for technology integration, and adaptive test design using multiple matrix sampling. He investigates how socioeconomic factors, item bias, and emotional skills intersect with academic performance. Projects : Leads TÜBİTAK-funded AI-based test design and computerized adaptive mathematics test initiatives. Conductor of Boğaziçi University Adaptive Testing Laboratory.

Berna Kılınçمشاهده پروفایل

استاد

• History and Philosophy of Probability Theory
• Kant’s Theoretical Philosophy
• Statistical Reasoning
• +۵ مورد دیگر

Prof. Berna Kılınç is a faculty member in the Department of Philosophy at Boğaziçi University, Faculty of Letters. She holds a Ph.D. from the University of Chicago and serves as Department Chair and Fourth Year Advisor. Her academic work spans philosophy of science, logic, epistemology, and the history of science, with a particular focus on probability theory and Kantian philosophy. Ph.D., University of Chicago, USA Her research interests include the history and philosophy of probability, Kant’s theoretical philosophy, statistical reasoning, and informal logic. She explores foundational questions in scientific reasoning, objectivity, and the evolution of logical thought, often bridging historical analysis with contemporary philosophical debates. The recent publications of Prof. Kılınç reflect a sustained engagement with logic, epistemology, and the philosophy of science. Her work spans from Kantian metaphysics to feminist epistemology and statistical methodology, demonstrating a broad yet coherent trajectory centered on the nature of scientific and logical reasoning. She frequently publishes on Ottoman science, the philosophy of chance, and meta-theoretical issues in research synthesis. No scientific awards were mentioned in the provided text. Prof. Kılınç has editorial and translation experience, having co-edited volumes of the World Congress of Philosophy and several issues of Felsefe Tartışmaları . She has translated philosophical texts into Turkish, contributing to the dissemination of analytic philosophy in Turkey. While specific grant information is not provided, her publications in international journals and edited volumes suggest active research engagement. She advises senior students as the Fourth Year Advisor, indicating a role in academic mentoring. There is no mention of specific labs or research teams in the provided information.

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۶ مورد دیگر

Ayşenur Akyüz Birtürk serves as a Lecturer in the Department of Computer Engineering at Middle East Technical University (METU), Ankara, where she has taught since February 1994. Her academic career spans foundational programming courses to advanced graduate seminars in AI and Computational Linguistics, reflecting 30+ years of institutional commitment. She earned all her degrees from METU, culminating in a 1998 Ph.D. focused on Turkish language computational analysis. Her educational journey includes: B.S. in Computer Engineering (1985) M.S. in Computer Engineering (1988) with thesis on “A Model for Representing Concepts: Conceptual Dependency Theory” Ph.D. in Computer Engineering (1998) with thesis on “A Computational Analysis of Turkish using the Government-Binding Approach” Dr. Birtürk’s research centers on Artificial Intelligence and Natural Language Processing , with pioneering work in Turkish language parsing evolving into modern Recommender Systems . She integrates semantic relations and multi-domain data to build hybrid engines for movies, books, and music, emphasizing user modeling through knowledge representation and data mining techniques. Analysis of her 2010-2015 publications reveals two dominant threads: adaptive recommender systems (80% of output) using semantic similarity and dynamic clustering, and renewable energy analytics (20%) applying machine learning to wind/hydrological data. This pivot from NLP to energy forecasting demonstrates methodological versatility while maintaining core AI expertise. Her scientific recognition includes: TUBITAK scholarships throughout education (1977-1988) Multiple national contest awards in high school (1979-1980) Leadership in TUBITAK-funded energy and healthcare projects Dr. Birtürk has supervised 17 Master’s theses in NLP and recommender systems while securing competitive grants including METU-ISTEC #17435 (2006-2008; 504,000 YTL) and HASAT (2010-2013; 601,637 YTL). Her industry consultancy spans medical form design (FormAnalitik), question-answering systems, and retail intelligence platforms, translating academic research into real-world tools.

Ahmet Bildirenمشاهده پروفایل

استاد

• Special Education
• Gifted Education
• Non-verbal Cognitive Ability Testing
• +۳ مورد دیگر

Prof. Dr. Ahmet Bildiren is a faculty member at Aydın Adnan Menderes University's Faculty of Education, specializing in Special Education and Education for the Specially Gifted. His academic career spans over two decades, with a focus on identifying gifted children through non-verbal cognitive assessments and addressing dual exceptionalities (giftedness and learning disabilities). Education: Licence from Marmara University (Classroom Teaching, 1999), MA in Guidance and Psychological Counseling from Dokuz Eylul University (2003), PhD in Special Education from Ankara University (2016) His research dominates two key areas: Development and validation of non-verbal cognitive ability tests like BNV-II and TONI-3 Analyzing learning disabilities diagnosis accuracy in Turkish education systems Recent publications highlight his work on STEM interventions for students with learning challenges, early childhood gifted identification, and preschool teacher perspectives on dual exceptionalities. He has also contributed to software tools for gifted education and standardized testing for 0-9 age groups.

Özkan Ergeneمشاهده پروفایل

دانشیار

• Mathematics Education
• Prospective Mathematics Teacher Education
• Problem Solving and Problem Posing
• +۱۲ مورد دیگر

Özkan Ergene is an Associate Professor in the Department of Mathematics and Science Education at Sakarya University Faculty of Education . He has been actively contributing to the field of mathematics education since 2015 and currently serves as the Head of the Department of Mathematics Education and Deputy Head of the Department of Mathematics and Science Education. His academic work spans teaching, research, editorial duties, and leadership in academic organizations. Education: Doctorate in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2019 Master's in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2014 Bachelor's in Mathematics Teaching, Marmara University Atatürk Faculty of Education, 2012 (Top student) His research interests center on mathematics education , particularly prospective mathematics teacher education , problem solving and posing , mathematical modeling , and measurement and evaluation . He also explores the integration of artificial intelligence and innovative methods like origami and ethnomathematics in teaching. His recent publications reflect a strong focus on conceptual understanding in calculus, AI in education, and teacher/student perceptions. The analysis of his recent articles reveals a consistent trend in investigating mathematical thinking processes , especially in areas like infinite sets , integrals , and problem posing . He frequently employs qualitative and instrument development methodologies, often focusing on pre-service teachers and secondary students . The integration of technology , particularly AI tools like ChatGPT, is an emerging and prominent theme in his latest work. Scientific Awards: TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Doktora Bursiyerliği TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Yüksek Lisans Bursiyerliği He actively supervises graduate students, with several ongoing and completed master’s theses under his guidance, such as those on the flipped classroom model and mathematical modeling. He has served as a consultant for TÜBİTAK projects and has been involved in numerous research grants, demonstrating his role in securing and managing academic funding. His editorial contributions include peer review for high-impact journals like Education and Information Technologies , Journal of Pedagogical Research , and International Journal of Science and Mathematics Education . He is a member of several academic communities, including the European Society for Research in Mathematics Education (ERME) and the British Society for Research into Learning Mathematics . He has organized and moderated sessions at international conferences like ERPA Congress and UFBMEK, and he leads the Mathematics Education Community at his university, highlighting his active role in fostering academic collaboration.

Barbaros Yetمشاهده پروفایل

دانشیار

• Decision-Making Under Uncertainty
• Bayesian Approaches
• Causal and Probabilistic Graphical Models
• +۵ مورد دیگر

Barbaros Yet is an Associate Professor in the Department of Cognitive Science at the Graduate School of Informatics, Middle East Technical University in Ankara, Turkey. His research focuses on decision-making under uncertainty, integrating human judgment, published evidence, and uncertain data into Bayesian approaches and probabilistic graphical models. Applications span healthcare (clinical decision support, trauma care modeling), agriculture (climate resilience policy), and operational systems (fleet reliability prediction). Research interests include Bayesian networks, causal reasoning, knowledge representation, and decision support systems. He has developed tools for shared clinical decision-making, trauma outcome prediction, and agricultural policy prioritization. His work emphasizes interpretable models that align with expert reasoning processes. Notable contributions include Bayesian network-based frameworks for spinal pathology assessment, aircraft reliability modeling, and trauma care prediction systems. His articles frequently bridge theoretical probabilistic modeling with practical applications in medicine and engineering. Active in interdisciplinary collaborations, he contributes to global health initiatives like the UKRI Action Against Stunting Hub. Professional links include ORCID (0000-0003-4058-2677), ResearchGate (https://www.researchgate.net/profile/Barbaros-Yet), and a Twitter presence (@barbarosyet). Contact via byet@metu.edu.tr.

• Mathematics Education
• Educational Technology
• Teacher Training
• +۴ مورد دیگر

Cahit AYTEKİN is an Assistant Professor at the Faculty of Education, Kırşehir Ahi Evran University , specializing in Mathematics Education . With a PhD in Primary Education from Hacettepe University (2016) and a master's in Mathematics (2018), his academic career spans roles such as Vocational School Director (2021–present) and Dean's Assistant (2017–2021). His research focuses on mathematics education, teacher training, and technology integration. Education : PhD (Primary Education, Hacettepe University, 2016); MSc (Mathematics, Kırşehir Ahi Evran University, 2018); MSc (Mathematics Education, Abant İzzet Baysal University, 2012); BSc (Mathematics and Science Education, Kocaeli University, 2008); BSc (Computer Engineering, Kırşehir Ahi Evran University, 2020). His research interests include: Mathematics Education Educational Technology (GeoGebra, augmented reality tools) Gifted Student Pedagogy Student Estimation Skills Math Anxiety Interventions Publications highlight his work on technology-enhanced learning, gifted education, and teacher training, with studies on GeoGebra's impact and parental expectations in mathematics education. He has advised 12 master's theses and led projects like 'Mathematics Teacher Candidates' Computer-Assisted Teaching' . Collaborations with researchers like Serdal Baltacı and Avni Yıldız reflect his interdisciplinary approach.

Selma Tekirمشاهده پروفایل

دانشیار

• Natural Language Processing
• Text Mining
• Machine Learning
• +۵ مورد دیگر

Selma Tekir is an Associate Professor in the Computer Engineering Department at Izmir Institute of Technology. She completed her undergraduate studies in Computer Engineering at Ege University in 2001, followed by a master's degree from Izmir Institute of Technology in 2004, and earned her PhD from Ege University in 2010. In 2009, she worked as a visiting researcher at the University of Konstanz, Germany. Her educational background includes: B.Sc.: Computer Engineering, Ege University (2001) M.Sc.: Computer Engineering, Izmir Institute of Technology (2004) Ph.D.: Computer Engineering, Ege University (2010) Dr. Tekir's research spans multiple areas of natural language processing and computational linguistics, with a particular focus on Turkish language processing. Her work explores text mining, news analysis, information warfare, and the application of deep learning techniques to linguistic problems. She has made significant contributions to counterfactual detection in Turkish, multi-modal language models, and the integration of symbolic reasoning with neural approaches. Her research often bridges theoretical advances with practical applications, particularly in the Turkish language context which presents unique challenges as a morphologically rich agglutinative language. Analysis of her recent publications reveals a strong trend toward advancing natural language understanding systems for Turkish, developing methods for counterfactual detection, enhancing question answering systems with knowledge graphs, and applying graph neural networks to biological sequence analysis. Her work demonstrates growing interest in combining symbolic reasoning with neural approaches and exploring self-reflection capabilities in language agents. Dr. Tekir has received research funding for projects including: Consistency and Reliability Assessment in News Chains (TÜBİTAK ARDEB 3501) Application of Data Analysis and Visualization Techniques on Historical Sources (BAP) She teaches courses including CENG 381 - Stochastic Processes, CENG 613 - Scientific Research Methods in Computer Science, and SEDS 501 - Introduction to Data Science.

Engin Aderمشاهده پروفایل

دانشیار

• Metacognition
• Self-Regulation
• Mathematics Education
• +۳ مورد دیگر

Engin Ader is an Associate Professor in the Department of Mathematics Education at Boğaziçi University Faculty of Education. With a PhD in Mathematics Education from the University of Nottingham (2009), he focuses on metacognition, self-regulated learning, and teacher professional development in mathematics classrooms. His work bridges theoretical frameworks with practical implementation, emphasizing task design and statistical literacy. PhD, Mathematics Education – University of Nottingham, 2009 M.A., Secondary School Mathematics and Science Education – Boğaziçi University, 2004 B.Sc., Mechanical Engineering – Boğaziçi University, 1999 Research interests center on metacognitive development in mathematics, self-regulated learning (SRL), and teacher practices that promote these skills. He investigates mathematical task implementation quality, professional development programs, and the integration of metacognition into statistics education. His work spans K-12 contexts, with a focus on elementary and preschool settings. Scientific awards include the 2017 Outstanding Achievement in Teaching Award from Boğaziçi University Foundation. He has coordinated or contributed to projects funded by Boğaziçi University, TÜBİTAK, and EARLI, such as 'Improving Prospective Mathematics Teachers’ Skills in Virtual Reality Environments.' As Vice Dean (2015–2020) at Boğaziçi University Faculty of Education, he has held administrative leadership roles.

• Mathematics Education
• Mathematical Problem Solving
• STEM Education
• +۵ مورد دیگر

Assoc. Prof. Dr. Okan KUZU is an academic at Kırşehir Ahi Evran University Faculty of Education, Department of Mathematics Education . Holding a Ph.D. in Mathematics Education from Atatürk University (2011) and Mathematics from Ahi Evran University (2014), he has served in various academic and administrative roles since 2011, including Dean Assistant (2025-), Research Center Director (2024-), and Department Head (2023-2025). Ph.D. in Mathematics Education (2011, Atatürk University) Ph.D. in Mathematics (2014, Ahi Evran University) M.Sc. in Mathematics (2011, Ahi Evran University) B.Sc. in Secondary Science and Mathematics Education (2009, Atatürk University) His research focuses on mathematics curriculum analysis, mathematical problem-solving, statistical reasoning, and educational technology. Recent work examines Türkiye Yüzyılı Maarif Modeli curricula, fraction problem-posing, and digital game-based learning. A 2025 article compares Turkey's 2018/2024 primary math curricula, while a 2023 study links teacher attitudes to emotional states. Scientific Recognition : TÜBİTAK UBYT Awards (2015, 2020) Co-authored 34 journal articles Supervised 14 theses (2019-2025)

• Mathematics Education
• Error-Based Learning
• Educational Psychology
• +۳ مورد دیگر

Solmaz Damla Gedik is a researcher affiliated with Nevşehir Hacı Bektaş Veli University , focusing on mathematics education and error-based learning strategies. Her work spans both theoretical and practical dimensions, including the adaptation of assessment tools like the Mistake-Handling Questionnaire to Turkish contexts. Her research investigates how pre-service mathematics teachers address common student misconceptions in topics such as exponential numbers, square roots, and Euclidean geometry. She also explores the relationship between mathematical self-efficacy, error-handling practices, and anxiety in secondary school students. Recent publications highlight her interest in integrating topology into geometry education and analyzing the impact of error-handling activities on classroom practices. While no formal awards or grants are explicitly mentioned, her collaborative work with scholars like Alper Cihan Konyalıoğlu and Zeki Aksu underscores her active role in educational research.

Gözde Gül Şahinمشاهده پروفایل

استادیار

• Natural Language Processing
• Semantics
• Procedural Language Understanding
• +۵ مورد دیگر

Gözde Gül Şahin is an Assistant Professor in the Computer Science and Engineering Department at Koç University's College of Engineering, where she leads research at the intersection of natural language processing and machine learning. She is affiliated with KUIS AI (Koç University Artificial Intelligence Research Center) and serves as Principal Investigator for a major Tübitak-funded project on procedural language understanding. Previously, she was a postdoctoral researcher at the Ubiquitous Knowledge Processing Lab (UKP) at Technical University of Darmstadt, working with Prof. Iryna Gurevych, and completed her PhD at Istanbul Technical University under the supervision of Prof. Eşref Adalı. Dr. Şahin's research focuses on pushing the boundaries of natural language processing by building machine learning models and open-access tools for world's languages, with particular emphasis on semantics, procedural language understanding, and the abstraction and reasoning capabilities of large language models. Her work bridges theoretical linguistics with practical NLP applications, especially for low-resource and morphologically complex languages like Turkish. She has made significant contributions to multilingual probing frameworks, grammatical error correction for Turkish, and understanding how machines can learn from small data through projects like PuzzLing Machines. Her recent publications reveal a consistent research trajectory toward understanding procedural language and improving model generalizability across domains. She has developed frameworks for evaluating multilingual representations (LINSPECTOR), created benchmarks for Turkish language understanding (Cetvel), and investigated how language models process step-by-step instructions. Her work often addresses the gap between high performance on standard NLP tasks and real-world applicability, with a strong focus on making NLP more accessible for underrepresented languages. Scientific Awards Tübitak 2232 B-International Fellowship for Outstanding Researchers (2022) Dr. Şahin actively mentors students, having supervised bachelor's students like Max Eichler (now PhD student at UKP/TU Darmstadt) and pre-doctoral researchers like Haritz Puerto. Her current Tübitak-funded project supports 2 Masters students, 2 PhD students, and one postdoctoral researcher working on "Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance." She has served as Area Chair for COLING 2022 and organized workshops at major NLP conferences including EMNLP. She leads the GGLab at Koç University, which focuses on developing NLP models and datasets for world's languages, with particular attention to Turkish and other low-resource languages. The lab's work spans multiple dimensions of language understanding, from grammatical error correction (GECTurk) to procedural reasoning and multilingual instruction tuning.

• Early Childhood Education
• Ottoman Educational History
• Pedagogy
• +۴ مورد دیگر

Musa Bardak is an academic at Istanbul Sabahattin Zaim University specializing in early childhood education, Ottoman educational history, and pedagogical methodologies. His research focuses on play-based learning, curriculum development, and the impacts of societal changes on child development. He frequently collaborates with researchers like Nihat Topaç and Murat Kirişci on interdisciplinary studies. Bardak's research interests span early childhood pedagogy, educational psychology, historical education systems, and innovative teaching methodologies. His work frequently examines the intersection of traditional educational practices with modern technological approaches, including studies on metaverse applications in education and fuzzy logic analysis of child behavior. His publications demonstrate a consistent focus on Ottoman educational history, COVID-19 impacts on early childhood development, and play-based learning methodologies. Recent work shows increasing engagement with mathematical modeling techniques applied to educational psychology. Bardak has collaborated on multiple projects involving child behavior analysis during quarantine periods, traditional educational games, and gender equality applications in early childhood settings. His work reflects strong interdisciplinary connections between education, history, psychology, and computational mathematics.

Osman Darcanمشاهده پروفایل

دانشیار

• Programming Techniques
• Object Oriented System Development
• Simulation
• +۲ مورد دیگر

Osman Darcan is an Associate Professor at Bogazici University in Istanbul, Turkey, with a verified institutional email osman.darcan@boun.edu.tr. His academic career spans over two decades with consistent research output in computational fields. Education Background: Undergraduate: Boğazici University, Computer Engineering Masters: Boğaziçi University, Computer Engineering Ph.D.: Boğaziçi University, Industrial Engineering His research focuses on practical applications of computational techniques across multiple domains. Darcan's work in Programming Techniques emphasizes object-oriented development frameworks and visualization tools for educational purposes. His Simulation research includes distributed systems and load balancing algorithms, while Artificial Intelligence applications target data mining for student profiling and e-commerce. The E-Learning strand features innovative tools for linear programming, geometric problem-solving, and programming education, demonstrating a strong commitment to pedagogical innovation through technology. Publication trends (2000-2012) reveal an evolution from foundational work in distributed simulation (2000-2006) toward applied data mining in education and e-commerce (2009-2012). His research consistently bridges theoretical computer science with practical educational and business applications, particularly in cluster analysis for student performance and agent-based modeling for market simulations. No scientific awards were documented in the source material. While specific advising records and grant details weren't provided, Darcan's publication pattern indicates supervision of students in data mining and simulation projects. His international conference presence (IBIMA, PICMET, World Conference on E-Learning) suggests active participation in global academic networks. The absence of lab/team mentions implies independent or small-group research operations focused on software tool development.

Aysun ÖZTUNA KAPLANمشاهده پروفایل

دانشیار

• Science Education
• STEM/STEAM Education
• Nature of Science
• +۱۲ مورد دیگر

Aysun ÖZTUNA KAPLAN is an Associate Professor in the Department of Mathematics and Science Education at the Faculty of Education, Sakarya University. She actively contributes to science education through teaching, research, and academic leadership. Her work spans undergraduate and graduate programs, with a strong focus on pedagogical innovation and teacher development. Her research interests include science education, STEM/STEAM integration, the nature of science, socio-scientific issues, epistemological beliefs, scientific literacy, out-of-school learning environments (such as science centers and museums), values in science education, thinking skills, and astronomy education. She emphasizes interdisciplinary and experiential approaches to enhance student engagement and understanding. Her recent publications reflect a consistent trend in informal and formal science learning, teacher education, and curriculum development. Articles such as "Educational Games in Science Center" , "STEAM from Soil to Table" , and "Visible Thinking in Science Education" demonstrate her commitment to innovative, context-based, and student-centered pedagogies. Her work often involves collaboration with pre-service and in-service teachers, focusing on self-efficacy, awareness, and practical implementation of modern educational frameworks. Editor, Sakarya University Journal of Education (SUJE) – Statistics and Subject Editor (2011–2023) Editor of books including Fizik 1 – Problem Solutions and Fen Öğretimi Active participant in COST Actions and TÜBİTAK-funded projects She has supervised numerous master’s and doctoral theses, contributing significantly to graduate education. Her leadership extends to departmental administration, having served as Head of Department in previous years. She also organizes and chairs academic sessions at national and international conferences, promoting scholarly dialogue in science education. She is involved in research projects such as "Topraktan Sofraya STEAM" , "Müzelerde Bilimin Gücünü Keşfediyoruz" , and "Fen Bilimleri Öğretmen Adayları Bilim Merkezini Keşfediyor" , which highlight her dedication to bridging formal and informal learning contexts and fostering scientific curiosity through real-world applications.