Error-Based Learning Professors and Supervisors in Turkey

Ufuk Yildirimمشاهده پروفایل

استاد

Middle East Technical UniversityTurkey

Prof. Ufuk Yildirim is a Professor at the Department of Mathematics and Science Education within the Faculty of Education at Middle East Technical University (METU). His research focuses on educational technology, teacher training in physics, and curriculum implementation. He actively contributes to understanding student misconceptions in physics and improving pre-service teacher preparedness for laboratory instruction and inquiry-based learning. His work bridges national curriculum standards with practical classroom applications, emphasizing regional disparities in student performance and teacher beliefs. He leads projects addressing challenges in physics education across Turkey and has authored/co-authored 27 publications. His contact details include email yufuk@metu.edu.tr and office EF-215. Key research themes include: Pre-service teacher development Context-based argument-driven inquiry Student misconceptions in physics National curriculum alignment Educational equity analysis Experimental design pedagogy Recent publications highlight trends in laboratory practice challenges (2024), regional education mapping (2016–2013), and teacher belief studies (2014–2013). He has supervised one thesis and led six research projects. His work intersects educational policy, pedagogy, and cognitive science to advance science education outcomes.

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Sukru Ilgunمشاهده پروفایل

استاد

Kafkas UniversityTurkey

Şükrü İLGÜN is a Professor in the Department of Mathematics and Science Education at Kafkas University 's Dede Korkut Faculty of Education. With a PhD in Geometry and an MSc in Mathematics Education from Atatürk University, he has held full-time academic positions since 2014, including department head roles. His research focuses on mathematics education, student anxiety, and innovative teaching methods like scenario-based learning, mathematical modeling, and technology integration. PhD: Geometry, Atatürk University (2011-2013) MSc: Mathematics Education, Atatürk University (2001-2004) BA: Mathematics Teaching Program, Erzincan Faculty of Education (1996-2000) Research Themes include: Geometry instruction and anxiety reduction Algebra teaching through scenario-based learning Interdisciplinary connections (e.g., Social Sciences & Math) Digital literacy and classroom technology Gifted student education Error analysis in mathematical reasoning His recent publications analyze topics such as geometric modeling , student number sense , and mathematical anxiety across diverse educational contexts. Collaborations with Esra Altıntaş (80 joint works) and Seyfullah Hızarcı (9 joint works) highlight his extensive academic network.

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Tuğrul TAŞCIمشاهده پروفایل

استادیار

Sakarya UniversityTurkey

Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.

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Deniz Yuretمشاهده پروفایل

استاد

Koç UniversityTurkey

Deniz Yuret is a Professor in the Department of Computer Engineering at Koç University , Istanbul, and the founding director of the KUIS AI Center . Previously, he spent 12 years at the MIT AI Lab and co-founded Inquira, Inc. His research focuses on Natural Language Processing and Machine Learning , with significant contributions in dependency parsing , language modeling , grounded language learning , and character-level NLP . He has pioneered frameworks like Knet , a deep learning library in Julia, and AutoGrad.jl for automatic differentiation. Deniz's academic work spans neural architectures for language-robot interaction, transfer learning in low-resource NMT, and context embeddings for grammatical category acquisition. His recent publications emphasize transformer models , multimodal systems , and efficient language modeling . He has supervised multiple graduate students, including Emre Can Açıkgöz (PhD, UIUC), Onur Kuru (M.S. 2016), Saman Zia (M.S. 2016), and Osman Baskaya (M.S. 2015). His projects include the TUBITAK 1001 (2016-2018) and ReGROUND (2015-2018) in collaboration with international institutions.

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Zekiye MORKOYUNLUمشاهده پروفایل

استادیار

Ahi Evran UniversityTurkey

Zekiye MORKOYUNLU is an Assistant Professor in the Department of Mathematics and Science Education at Kirsehir Ahi Evran University's Faculty of Education. With a strong academic background including a PhD from Middle East Technical University and another doctoral degree from Atatürk University, she has established herself as a dedicated mathematics educator and researcher. Her educational background includes: PhD in Mathematics Education from Middle East Technical University (2013) Master's Degree in Mathematics Education from University of Leeds, UK (2011-2012) PhD in Mathematics Education from Atatürk University (2011-2017) Bachelor's Degree in Secondary School Science and Mathematics Education from Atatürk University (2002-2007) Dr. MORKOYUNLU's research focuses primarily on mathematics education with special emphasis on mathematical resilience, error handling in mathematics learning, parental involvement in math education, and gifted student education. Her work explores how students develop mathematical thinking and how educators can create supportive learning environments that encourage mathematical reasoning despite challenges and mistakes. She has particularly investigated how parental support affects middle school students' mathematical achievement and how error-based activities can improve preservice teachers' reflective thinking skills. Her publication record shows consistent output with significant activity in recent years, particularly in 2023-2025, with research spanning mathematical resilience, error handling activities, gifted education, and teacher training. Her work appears in both international and national journals, with a focus on practical applications for mathematics educators. Scientific recognition includes: YLSY 2007 award from the Ministry of National Education Dr. MORKOYUNLU has supervised four master's students to completion, with two additional students currently working under her supervision. She teaches a variety of courses including Middle School Mathematics Curriculum, Activity Development in Mathematics Teaching, Qualitative Research Methods in Mathematics Education, and Geometry and Measurement Teaching. Her research projects include 'Teacher Candidates' Level of Gaining Student Recognition Competence' and 'Design of Dynamic Software-Supported Activities for Gifted Students Using Design-Based Research Method.'

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SADIK ALASHANمشاهده پروفایل

دانشیار

Bingol UniversityTurkey

Dr. Sadik Alashan serves as Associate Professor in the Faculty of Engineering and Architecture at Bingol University, Turkey, specializing in Civil Engineering disciplines through teaching courses including Hydraulics, Hydrology, Fluid Mechanics, and Water Resources Structures. His academic journey spans over a decade at Bingöl University with progressive appointments from Research Assistant to current Associate Professor status. Education: Ph.D. in Hydraulic and Water Resources Engineering, Istanbul Technical University (2011-2016) M.S. in Hydraulic Engineering, Firat University (2008-2011) B.S. in Civil Engineering, Dicle University (1999-2003) Research Focus: Dr. Alashan pioneers statistical methodologies for hydrological trend analysis, particularly advancing Sen's Innovative Trend Analysis (ITA) into frameworks like S-IPTA and ITA-NF. His work bridges climate science and water engineering through drought assessment in Mediterranean regions, earthquake recurrence modeling in Eastern Turkey, and machine learning applications for hydraulic structures. Recent publications demonstrate evolution from foundational ITA refinements (2016-2020) toward integrated climate-hydrology frameworks (2023-2025), with increasing international collaboration. Scientific Awards: No major scientific awards listed in the provided information Academic Contributions: Dr. Alashan has co-supervised Master's research on climate impacts to river systems and serves as reviewer for leading journals including Water Resources Management and Natural Hazards. His publication trajectory shows consistent output with 15+ articles in the last five years, primarily in Q1 hydrology/climate journals. While no formal lab is specified, his computational research group focuses on methodological innovation for water resource challenges in semi-arid regions. Research Environment: Based in Bingöl (Eastern Turkey), his work addresses regional water security through earthquake-prone basin studies and Mediterranean drought analysis. His recent shift toward machine learning integration (2025 publications) indicates evolving technical capacity within his research group, leveraging computational approaches to solve practical hydraulic engineering problems.

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Mehmet Güray Gülerمشاهده پروفایل

استاد

Istanbul Technical UniversityTurkey

Professor Mehmet Güray Güler holds a faculty position at Istanbul Technical University (ITU) in the Department of Data Science and Analytics within the School of Business. Previously, he served as Professor in ITU's Department of Industrial Engineering (2024) and held progressive academic appointments at Yildiz Technical University from Research Assistant (2005-2013) to full Professor (2022-2024). His educational background includes a PhD in Industrial Engineering from Boğaziçi University (2005-2012), preceded by Master's (2003-2005) and Bachelor's degrees from the same institution. Professional experience includes R&D Manager at Lojika Information Technologies (2014-2015). Research focuses on Modeling and Optimization , Machine Learning , and Operations Research with specific applications in hydrogen supply chains, renewable energy systems, and stochastic optimization. Recent work demonstrates strong emphasis on Turkey's energy transition, with multi-objective models for hydrogen infrastructure and electricity market strategies. Publication trends show increasing focus on sustainable energy systems since 2020, with significant contributions to hydrogen logistics (60% of recent publications) and machine learning applications in energy markets (25%). Key methodological approaches include stochastic programming, multi-objective optimization, and neural network integration. Award highlights: Operations Research Association Member (2006-present) Current research leadership includes the active project Türkiye Hidrojen Tedarik Zinciri Ağı: Strateji ve Politikalar (2024-2026) as Principal Investigator. Grant activities focus on national energy infrastructure development with strong industry-academia collaboration. Laboratory work centers on energy systems modeling with computational infrastructure for large-scale stochastic optimization. Current team focuses on hydrogen economy transition strategies for Turkish national policy development.

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