Projects

Role: EdTech Specialist · Programme: Erasmus+ KA220-SCH (Cooperation Partnerships in School Education) · Grant No: 2024-1-TR01-KA220-SCH-000256452 · Duration: Dec 2024 – Nov 2026

AIDA is an Erasmus+ project that supports teachers' lifelong learning through AI-driven self-assessment tools and personalized professional development recommendations. The project develops a digital self-assessment model aligned with professional standards, a pool of digital training modules, and an AI-powered assistant that provides real-time feedback and tracks teachers' progress. By combining self-assessment, AI-based recommendations, and digital content, AIDA helps educators identify development areas and take ownership of their professional growth, while producing policy recommendations to inform education reform. Project website

Role: EdTech Specialist · Programme: Erasmus+ (Cooperation Partnerships in School Education) · Grant No: 2022-1-TR01-KA220-SCH-000087735 · Duration: Dec 2022 – Dec 2024

DIGI ESSA 4 SCHOOLS is an Erasmus+ project, carried out by research teams from six countries (Türkiye, Italy, the Netherlands, Romania, Spain, and Portugal), that developed a comprehensive digital self-assessment model to support quality assurance and continuous improvement in schools. The model provides a flexible framework of 10 evaluation areas and 59 sub-areas — spanning leadership, teaching and learning, academic and social outcomes, school climate, inclusivity, and resilience — that schools can adapt to their own priorities and national context. The project also produced a digital implementation tool that enables schools to collect profile data and stakeholder surveys, analyze them through statistical methods, and generate data-driven, visualized self-evaluation reports to guide school improvement planning. Project website

Role: EdTech Specialist · Programme: Erasmus+ Strategic Partnerships for School Education (KA201) · Grant No: 2020-1-TR01-KA201-094326 · Duration: Dec 2020 – Dec 2023

This international project explored the role of emotions in educational robotics across different cultures, educational systems, and learner populations. The project investigated how robotics-based learning environments influence students' social-emotional learning, engagement, creativity, and problem-solving skills while supporting teachers in recognizing and managing learners' emotions. The consortium developed educational resources, digital learning materials, and research outputs, and organized international teacher trainings, student exchanges, and dissemination activities involving partners from six countries. Project website

Role: Researcher · Funding Agency: ÖSYM (Student Selection and Placement Center) · Duration: May 2025 – Aug 2026

This project focuses on the development of an item and test analysis software system for large-scale standardized examinations administered by ÖSYM. The software integrates Classical Test Theory (CTT) and Item Response Theory (IRT) methods to support large-scale psychometric data analysis, automated reporting, and evidence-based assessment processes.

Role: Principal Investigator · Funding Agency: Hacettepe University Scientific Research Projects Unit · Project No: SYL-2024-21594 · Duration:  Nov 2024 – Jul 2026

This project investigates students' interactions with a generative AI assistant in the context of programming education. A custom AI assistant developed within the project is used to examine students' learning behaviors, interaction patterns, and the educational potential of AI-assisted programming support.

Role: Principal Investigator · Funding Agency: ÖSYM (Student Selection and Placement Center) · Duration: Jan 2024 – Apr 2025

This project explored the use of large language models (LLMs) for automated multiple-choice question generation in English language testing. The project focused on evaluating the quality, validity, and educational applicability of AI-generated assessment items for high-stakes language examinations.

Role: Principal Investigator · Funding Agency: The Scientific and Technological Research Council of Turkey (TÜBİTAK 1001) · Project No: 120K188 · Duration: Jul 2020 – Dec 2020

This project developed an AI-supported learning analytics dashboard for Moodle to support instructors' data-driven decision-making. The system integrates with Moodle to collect learning data, applies state-of-the-art machine learning techniques, and presents interactive visualizations and actionable insights for monitoring student engagement, performance, and learning processes.