Sevda Küçük
Biographic Data
| ID | 6659946 |
|---|---|
| NAME | Sevda Küçük |
| GIVEN NAMES | Sevda |
| FAMILY NAME | Küçük |
| SIGNATURE | KÜÇÜK S |
| AFFILIATIONS | Atatürk University |
| ORCID | 0000-0002-2679-5177 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring gaps and determinants in teachers’ artificial intelligence technological pedagogical content knowledge based on a cross-sectional study in Türkiye
Artificial intelligence presents significant opportunities for personalized learning, data analytics, and the optimization of educational processes. However, determining teachers’ AI-TPACK competencies is a critical necessity for them to use these technologies effectively. The transformation in the Turkish education system and the necessity of integrating 21st-century skills into instructional processes within the scope of the “Türkiye Century Ed…
Enhancing graduate students’ academic writing through AI, peer, and instructor based multi-source feedback model
This study examines the effects of a multi-source feedback model that combines artificial intelligence (AI), peer, and instructor feedback in the online academic writing process in higher education. The aim of the research is to reveal the effects of this hybrid model on students’ feedback literacy, academic writing self-efficacy, and satisfaction levels. A mixed-methods design was used in the research. Quantitative data were collected through pr…
Beyond the screen
This study explored the impact of Generative AI (GenAI)-supported online learning on graduate students’ interaction, motivation, and self-regulation in higher education. Employing an explanatory sequential mixed methods design, the research involved 31 students enrolled in graduate-level research methodology courses. Quantitative data were collected through pre- and post-tests using validated scales measuring three types of online interaction (st…
Moocs Reshaping Undergraduate Health Education
Given the growing demand for flexible and accessible health education, massive open online courses (MOOCs) have been recognized as instrumental in expanding undergraduate learning. This systematic review was conducted to investigate the use of MOOCs in undergraduate health education, focusing on publication trends, geographic distribution, and key research variables. A total of 31 peer-reviewed articles were reviewed, and data were sourced from s…
An innovative approach in middle school science courses
This study examines the effects of collaborative augmented reality activities supported by the 5E teaching model on students’ motivation, cognitive load, and satisfaction levels in a science course. In this context, explanatory design, one of the mixed research methods, was used in this study. The research process was conducted with 18 sixth-grade (5 girls and 13 boys) students studying in a private school for four hours a week for four weeks in …
Pre-service Ceit teachers’ preferred YouTube use motives, engagements, video categories, and differences by gender
Present study investigates the motives that pre-service computer education and instructional technologies (CEIT) teachers employ while deciding on the level, type, way of engagement with and the length of YouTube videos that they watch. The investigation is based on the various demographic variables such as gender and content creation status. Non-experimental comparative and descriptive designs are utilized for the purposes of the study. 253 pre-…
Teachers’ experience as designers and practitioners of differentiation activities using mobile devices across grades and subjects / La experiencia de los docentes como profesionales y diseñadores de a…
The aim of this qualitative study is to explore the classroom experiences of 26 multidisciplinary teachers in designing activities to implement differentiation using mobile devices. Using case study research and focus group interviews with the teachers, this study was carried out in the context of an Erasmus+ project. During the project’s multiplier event, the teachers collaboratively designed differentiation activities with mobile devices and im…
Collaborative behavioural patterns of elementary school students working on a robotics project
A comprehensive assessment of secondary school students’ computational thinking skills
Performance in and perceptions of computational thinking (CT) are considered vital dimensions for comprehensively assessing CT skills of students. In this study, secondary school students’ CT performance and their perceptions were examined in terms of certain variables including gender, grade level, achievement and self‐efficacy. Casual‐comparative and correlational methods were used. The sample of the study consisted of a total of 328 fifth‐ and…
The Effects of Robotics Training on Children’s Spatial Ability and Attitude Toward STEM
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A comprehensive assessment of secondary school students’ computational thinking skills
Performance in and perceptions of computational thinking (CT) are considered vital dimensions for comprehensively assessing CT skills of students. In this study, secondary school students’ CT performance and their perceptions were examined in terms of certain variables including gender, grade level, achievement and self‐efficacy. Casual‐comparative and correlational methods were used. The sample of the study consisted of a total of 328 fifth‐ and…
The Effects of Robotics Training on Children’s Spatial Ability and Attitude Toward STEM
Collaborative behavioural patterns of elementary school students working on a robotics project
An innovative approach in middle school science courses
This study examines the effects of collaborative augmented reality activities supported by the 5E teaching model on students’ motivation, cognitive load, and satisfaction levels in a science course. In this context, explanatory design, one of the mixed research methods, was used in this study. The research process was conducted with 18 sixth-grade (5 girls and 13 boys) students studying in a private school for four hours a week for four weeks in …
Pre-service Ceit teachers’ preferred YouTube use motives, engagements, video categories, and differences by gender
Present study investigates the motives that pre-service computer education and instructional technologies (CEIT) teachers employ while deciding on the level, type, way of engagement with and the length of YouTube videos that they watch. The investigation is based on the various demographic variables such as gender and content creation status. Non-experimental comparative and descriptive designs are utilized for the purposes of the study. 253 pre-…
Teachers’ experience as designers and practitioners of differentiation activities using mobile devices across grades and subjects / La experiencia de los docentes como profesionales y diseñadores de a…
The aim of this qualitative study is to explore the classroom experiences of 26 multidisciplinary teachers in designing activities to implement differentiation using mobile devices. Using case study research and focus group interviews with the teachers, this study was carried out in the context of an Erasmus+ project. During the project’s multiplier event, the teachers collaboratively designed differentiation activities with mobile devices and im…
Exploring gaps and determinants in teachers’ artificial intelligence technological pedagogical content knowledge based on a cross-sectional study in Türkiye
Artificial intelligence presents significant opportunities for personalized learning, data analytics, and the optimization of educational processes. However, determining teachers’ AI-TPACK competencies is a critical necessity for them to use these technologies effectively. The transformation in the Turkish education system and the necessity of integrating 21st-century skills into instructional processes within the scope of the “Türkiye Century Ed…
Enhancing graduate students’ academic writing through AI, peer, and instructor based multi-source feedback model
This study examines the effects of a multi-source feedback model that combines artificial intelligence (AI), peer, and instructor feedback in the online academic writing process in higher education. The aim of the research is to reveal the effects of this hybrid model on students’ feedback literacy, academic writing self-efficacy, and satisfaction levels. A mixed-methods design was used in the research. Quantitative data were collected through pr…
Beyond the screen
This study explored the impact of Generative AI (GenAI)-supported online learning on graduate students’ interaction, motivation, and self-regulation in higher education. Employing an explanatory sequential mixed methods design, the research involved 31 students enrolled in graduate-level research methodology courses. Quantitative data were collected through pre- and post-tests using validated scales measuring three types of online interaction (st…
Moocs Reshaping Undergraduate Health Education
Given the growing demand for flexible and accessible health education, massive open online courses (MOOCs) have been recognized as instrumental in expanding undergraduate learning. This systematic review was conducted to investigate the use of MOOCs in undergraduate health education, focusing on publication trends, geographic distribution, and key research variables. A total of 31 peer-reviewed articles were reviewed, and data were sourced from s…
Psychology (5 works) · Mathematics education (4 works) · Computer Science (3 works) · Educational technology (3 works) · Gender and Technology in Education (3 works) · Teaching and Learning Programming (3 works) · Artificial Intelligence (2 works) · Distance education (2 works) · Educational robotics (2 works) · Electronic learning (2 works)