Ömer Faruk Ursavaş
Biographic Data
| ID | 8988810 |
|---|---|
| NAME | Ömer Faruk Ursavaş |
| GIVEN NAMES | Ömer Faruk |
| FAMILY NAME | Ursavaş |
| SIGNATURE | URSAVAŞ Ö F |
| AFFILIATIONS | Karadeniz Technical University |
| ORCID | 0000-0002-5759-7894 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Human, AI, and collaborative writing in computer science
This study comparatively examines three different production formats-human writing, text generated solely by an artificial intelligence (AI), and AI-human collaborative writing, in writing and summarization tasks under four different prompt strategies. Furthermore, four different prompt strategies shaping the production process were used to evaluate text quality, semantic consistency, and how discourse structure responded to these strategies. In …
Examining the Relationships Among Teacher Characteristics, Collaboration, AI ‐Integrated TPACK , and Teacher Enthusiasm
The aim of this study was to examine the relationships among teacher characteristics, collaboration, the level of artificial intelligence‐integrated technological pedagogical content knowledge (AI‐TPACK), and teacher enthusiasm, and to comparatively evaluate these relationships through multi‐group analysis (MGA) based on gender. The research model was tested using Partial Least Squares–Structural Equation Modelling (PLS‐SEM) to analyse the struct…
Investigating the role of emotions in pre-service teachers’ acceptance and use of learning management systems
Emotions play a significant role in shaping technology adoption decisions, influencing not only perceptions but also behavioural intentions. In this study, we investigated the structural relationships among online learning self-efficacy, positive and negative emotions, perceived ease of use, perceived usefulness and behavioural intention in the context of learning management system (LMS) use and acceptance. Using the technology acceptance model a…
Measuring instructional design competencies of future professionals
Pre-service teachers’ acceptance of mobile-technology-supported learning activities
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Measuring instructional design competencies of future professionals
Pre-service teachers’ acceptance of mobile-technology-supported learning activities
Examining the Relationships Among Teacher Characteristics, Collaboration, AI ‐Integrated TPACK , and Teacher Enthusiasm
The aim of this study was to examine the relationships among teacher characteristics, collaboration, the level of artificial intelligence‐integrated technological pedagogical content knowledge (AI‐TPACK), and teacher enthusiasm, and to comparatively evaluate these relationships through multi‐group analysis (MGA) based on gender. The research model was tested using Partial Least Squares–Structural Equation Modelling (PLS‐SEM) to analyse the struct…
Investigating the role of emotions in pre-service teachers’ acceptance and use of learning management systems
Emotions play a significant role in shaping technology adoption decisions, influencing not only perceptions but also behavioural intentions. In this study, we investigated the structural relationships among online learning self-efficacy, positive and negative emotions, perceived ease of use, perceived usefulness and behavioural intention in the context of learning management system (LMS) use and acceptance. Using the technology acceptance model a…
Human, AI, and collaborative writing in computer science
This study comparatively examines three different production formats-human writing, text generated solely by an artificial intelligence (AI), and AI-human collaborative writing, in writing and summarization tasks under four different prompt strategies. Furthermore, four different prompt strategies shaping the production process were used to evaluate text quality, semantic consistency, and how discourse structure responded to these strategies. In …
Mathematics education (3 works) · Psychology (3 works) · Social Psychology (3 works) · Structural equation modeling (3 works) · Computer Science (2 works) · Confirmatory factor analysis (2 works) · Educational technology (2 works) · Knowledge management (2 works) · Online and Blended Learning (2 works) · Technology Acceptance Model (2 works)