Hatice Yıldız Durak
Biographic Data
| ID | 4414950 |
|---|---|
| NAME | Hatice Yıldız Durak |
| GIVEN NAMES | Hatice Yıldız |
| FAMILY NAME | Durak |
| SIGNATURE | DURAK H Y |
| AFFILIATIONS | Necmettin Erbakan University |
| ORCID | 0000-0002-5689-1805 |
| VERIFIED | Yes |
| TOTAL WORKS | 47 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 47 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Enhancing text summarization with AI: A multi-agent system and human comparison in educational contexts
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…
Human, AI, and collaborative writing in computer science: A multilayer linguistic analysis of university students’ prompt-driven text production
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 …
Beyond the screen: Exploring the impact of GenAI-supported online learning on interaction, motivation, and self-regulation in higher education
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…
A multidimensional comparative analysis of human expert vs. AI-driven feedback approaches on learner-centered and collaborative groups
The aim of this study is to examine the multidimensional effects of AI-based feedback in learner-centered and collaborative learning environments among university students. The study employed a five-group experimental design: two individual learning groups receiving either AI-based feedback(G1) or human expert feedback(G2), two collaborative learning groups receiving either AI(G3) or human expert feedback(G4), and control group(G5). According to …
Effects of ML-LAF and GRG system in online collaborative learning environments on academic performance, metacognition, participation, and interaction: A repeat measurement method
Online collaborative learning environment provides many opportunities for the development of twenty-first century learning skills and competencies. Despite the potential of online collaborative learning, there is a deficiency of research investigating the impact of online behaviors of groups and individuals within groups on collaborative processes. In this context, this study develops guidance and feedback approaches to support university student…
Developing an Educational GenAI Usage Motivation Scale: A Comparative Study of Factor Structures Generated by Artificial Intelligence and Human Experts
Objective This study compares the psychometric properties of scale structures developed by human experts and various generative artificial intelligence (GenAI) models to measure motivation for using GenAI in education.Method Grounded in a theoretical framework, six different item pools were generated by human experts and GenAI prompt bots based on five different language models. Based on the reviews conducted by human experts and GenAI bots, the …
A socially shared regulation of learning and self-determination theory-based classification of generative artificial intelligence-mediated mathematical modeling activities: The case of ChatGPT
The role of generative artificial intelligence (GenAI) tools in education is becoming increasingly critical. Their purposeful integration into learning processes has become a key priority for supporting meaningful and collaborative learning. The capacity of GenAI tools such as ChatGPT to deliver personalized, real-time, and meaningful feedback holds the potential to support not only individual regulation but also co-regulated processes within col…
Identifying Diverse Attitudes Towards Artificial Intelligence Among Middle School Students Through Latent Profile Analysis
This study aims to determine the student profiles of middle school students by examining their attitudes towards artificial intelligence (ATAI) and their computational identity (CI) structures. CI, which can be considered a domain‐specific form of cognitive identity in programming and AI contexts, was examined in four basic dimensions such as participation in programming, belonging, realization, and goal setting. The study examined ATAI as cognit…
Examining the Factors Affecting Parental Supervision in Cyberbullying Prevention: Demographics, Parental Mediation, and Digital Parenting Awareness
This study aimed to determine the current situation regarding cyberbullying and parental supervision and the relationship between positive parental involvement and various variables. Data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results revealed a relationship between parental supervision in cyberbullying prevention (PSCP) and digital parenting awareness, active mediation, content-specific restrictive …
Exploring social media burnout, anxiety, and self-control in Turkish University students: Gender and engagement as moderators
Social media still plays a dominant role in individuals’ lives today. These environments, where negative emotions such as burnout and anxiety are fostered, are examined in terms of various variables. The current study investigated the multifaceted relationship between the social media burnout levels of Turkish students who are social media users and their self-control, anxiety, age, and duration of social media use. The moderating effects of gend…
What Drives Metacognitive‐Identity Profiles for Primary School Teachers? A Latent Profile Analysis and Predictor Roles of Growth Mindset and Demographics
Metacognition involves teachers reflecting on their knowledge and teaching practices and mobilising students' metacognition. Teachers' metacognitive regulation is necessary to promote students' learning and motivation. Additionally, teacher identity is a dynamic process that evolves through social interactions and relationships in the workplace. This study investigates the latent profiles of primary school teachers' metacognitive strategies and i…
Let's Talk About EdTech ! A Topic Modelling Analysis of AI Tools and Pre‐Service Teachers' Perspectives
This study examines pre‐service teachers' understanding of technology integration and the role of AI tools in shaping this perspective. Open‐ended responses, analysed using topic modelling, reveal the main themes in pre‐service teachers' views and compare them with topics generated by AI tools like ChatGPT, Gemini, and Bing AI. Key themes in pre‐service teachers' responses include improving learning quality, adapting to technology, and integratin…
Examining the Relationships Among Teacher Characteristics, Collaboration, AI ‐Integrated TPACK , and Teacher Enthusiasm: A Multi‐Group Analysis by Gender
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…
A Comparison of Human‐Written Versus AI ‐Generated Text in Discussions at Educational Settings: Investigating Features for ChatGPT , Gemini and BingAI
Generative artificial intelligence (GenAI) models, such as ChatGPT, Gemini, and BingAI, have become integral to educational sciences, bringing about significant transformations in the education system and the processes of knowledge production. These advancements have facilitated new methods of teaching, learning, and information dissemination. However, the widespread adoption of these technologies raises serious concerns about academic ethics, co…
Teaching Motivation of In‐Service Teachers, Professional Identity, and Self‐Efficacy for Teaching Computational Thinking
This study aims to examine the structures that affect the teaching motivation of in‐service teachers. In this context, self‐efficacy in teaching computational thinking and professional identity have been focused on. To that end, the relational screening model has been used. A demographic information form and three different scales were used to collect the data. The Teacher Professional Identity Scale has been adapted to Turkish culture for teache…
Designing and evaluating the effectiveness of e-content for the improvement of digital parenting competencies
Pair or Group‐Design Activities: The Effect of Design Activities on Problem‐Solving, Design Thinking Disposition, and Design Thinking Traits
Design thinking has become an important process in many fields to encourage innovation toward problem solving skills in various fields. In the field of education, design thinking has been incorporated into curriculums as it contributes both to higher order thinking skills and to the learning process with its flexible and dynamic nature. However, there is a growing need and interest in exploring how design thinking affects students' learning exper…
A systematic review of AI-based feedback in educational settings
The role of flexible thinking and academic achievement emotions in predicting goal-setting, time management, and self-evaluation in online learning: A multi-group analysis
The purpose of this study is to examine the effect of flexible thinking and achievement emotions in predicting goal-setting, time management, and self-evaluation in the context of online learning. In the study, 438 students at six different universities participated. The proposed structural model was analyzed by PLS-SEM. In the structural model, the relationships between open-mindedness in learning, learning technology acceptance, and adapting to…
Acceptance of educational use of the Internet of Things (IoT) in the context of individual innovativeness and ICT competency of pre-service teachers
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that determines educational IoT technology acceptance. This study, the acceptance of IoT in the educational enviro…
Exploring causes and predictors of cyberbullying in gifted and non-gifted students: Academic success, psychological variables, parental and educators’ supervision, motivation, and reactions to cyber v…
The purpose of this study is to explore the motivation of cyberbullying behaviors, their reactions to these behaviors, and the predictors of cyberbullying sensibility in gifted and non-gifted students. The study reached 258 participants, including 102 gifted and 156 non-gifted students. This research is a descriptive survey model. The study performed descriptive statistics, independent samples t-test, ordinal logistic regression analysis, and str…
Predicting the use of chatbot systems in education: A comparative approach using PLS-SEM and machine learning algorithms
Adopting innovations in educational practice is a challenging task. In order to promote the use of technological innovations, acceptance of the technology by potential users is a prerequisite. Indeed, understanding the various factors that influence technology acceptance is critical for technology acceptance research. The use and acceptance of chatbots in education as a technological innovation is a topic that needs to be investigated. Chatbots, …
Feedforward‐ or feedback‐based group regulation guidance in collaborative groups
Hi! Tell me how to do it: Examination of undergraduate students’ chatbot-integrated course experiences
Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance
Demographics have the predicting symptoms of smartphone addiction and nomophobia.• Achievement is predictive of smartphone addiction and nomophobia.• There is a significant relationship between smartphone addiction and nomophobia
Occupational burnout and cyberloafing among teachers: Analysis of personality traits, individual and occupational status variables as predictors
One of the phenomena that causes remarkable losses in terms of productivity and cost in organizations is occupational burnout. Burnout is encountered in different occupational groups. However, in professions that are in contact with a large number of people as part of their responsibilities, such as teaching, burnout is a problem that is far more on the foreground. In addition, emotional burnout, which is seen as the first step before occupationa…
Human Factors and Cybersecurity in Online Game Addiction: An Analysis of the Relationship Between High School Students' Online Game Addiction and the State of Providing Personal Cybersecurity and Repr…
Objective The number of users of online games is increasing day by day due to their constantly developing features. Users who have access to online games at all times are in a constant interaction with other users. In this regard, it can be suggested the interaction carries human values and does not contain information security threats. As a matter of fact, the virtual world presented in online gaming environments has evolved into an alternative …
Analysis of the relation between computational thinking skills and various variables with the structural equation model
Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance
Demographics have the predicting symptoms of smartphone addiction and nomophobia.• Achievement is predictive of smartphone addiction and nomophobia.• There is a significant relationship between smartphone addiction and nomophobia
Occupational burnout and cyberloafing among teachers: Analysis of personality traits, individual and occupational status variables as predictors
One of the phenomena that causes remarkable losses in terms of productivity and cost in organizations is occupational burnout. Burnout is encountered in different occupational groups. However, in professions that are in contact with a large number of people as part of their responsibilities, such as teaching, burnout is a problem that is far more on the foreground. In addition, emotional burnout, which is seen as the first step before occupationa…
Human Factors and Cybersecurity in Online Game Addiction: An Analysis of the Relationship Between High School Students' Online Game Addiction and the State of Providing Personal Cybersecurity and Repr…
Objective The number of users of online games is increasing day by day due to their constantly developing features. Users who have access to online games at all times are in a constant interaction with other users. In this regard, it can be suggested the interaction carries human values and does not contain information security threats. As a matter of fact, the virtual world presented in online gaming environments has evolved into an alternative …
Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables
Objective The aim of this study is to examine predictiveness of digital literacy, academic performance, and fear of missing out (FoMO) variables on social media usage (SMU) status. Methods This relational study was conducted with participation of 1,284 students. For collection of the data a self‐description form and also four other different data collection instruments were utilized. Data were analyzed through descriptive statistics and linear mu…
Smartphone Addiction, Loneliness, Narcissistic Personality, and Family Belonging Among University Students: A Path Analysis
Background The relationship between smartphone addiction (SPA) and loneliness is examined in several studies, however, the mediating effects of the variables related to narcissism and the family on the relationship between SPA and loneliness are not yet available in the literature. Objective The present study investigates the role of SPA on loneliness and the moderating effects of narcissistic personality and family belonging on loneliness. Parti…
Understanding self-regulation, achievement emotions, and mindset of undergraduates in emergency remote teaching: A latent profile analysis
Due to the threat of COVID-19, many educational institutions have made urgent decisions about how to continue teaching and learning, taking their courses online. The transition from face-to-face teaching to Emergency remote teaching (ERT) has made it difficult for individuals to organize their learning processes independently. Therefore, in this period, it is expected that learner profiles will differ from traditional online learning, and there a…
Examining various risk factors as the predictors of gifted and non-gifted high school students’ online game addiction
A Latent Profile Analysis for the Study of Multiple Screen Addiction, Mobile Social Gaming Addiction, General Mattering, and Family Sense of Belonging in University Students
Parental awareness and supervision to prevent cyberbullying: Scale adaptation and a review in terms of demographic variables
Investigating the effects of Solo taxonomy with reflective practice on university students’ meta-cognitive strategies, problem-solving, cognitive flexibility, spatial anxiety: An embedded mixed-method…
The 3D game development process is significant in improving knowledge and skills, such as literacy of information technologies, computational, analytical, and algorithmic thinking, programming, and spatial abilities. Besides, the 3D game development is a difficult and complex learning process. Within this context, it was decided that teaching should be restructured to support the metacognitive strategies’ use skills of students. SOLO taxonomy was…
Modeling the factors related to sensibility in cyberbullying of university students
Role of personality traits in collaborative group works at flipped classrooms
The Flipped Classroom (FC) approach is an important model for individualizing teaching, improving motivation, interaction, and increasing academic performance in a student-centered learning environment. However, at FC, not all students benefit equally from teaching opportunities. There may be important individual differences that affect their academic performance. The relationship between personality traits and academic performance in the FC mode…
Modeling of variables related to parents’ awareness in Cyberbullying Prevention
Examining various variables related to authentic learning self-efficacy of university students in educational online social networks: Creative self-efficacy, rational experiential thinking, and cognit…
The relationship between self-control and procrastination among adolescent: The mediating role of multi screen addiction
Group regulation guidance through agile learning strategies: Empowering co-regulation, transactive memory, group cohesion, atmosphere, and participation
Emotion regulation, e‐learning readiness, technology usage status, in‐class smartphone cyberloafing, and smartphone addiction in the time of Covid ‐19 pandemic
Online versus face‐to‐face cheating: The prevalence of cheating behaviours during the pandemic compared to the pre‐pandemic among Turkish University students
Examination of non-cognitive variables affecting academic achievement: A conceptual model proposal
Examining the Predictors of Video Game Addiction According to Expertise Levels of the Players: The Role of Time Spent on Video Gaming, Engagement, Positive Gaming Perception, Social Support and Relati…
The role of flexible thinking and academic achievement emotions in predicting goal-setting, time management, and self-evaluation in online learning: A multi-group analysis
The purpose of this study is to examine the effect of flexible thinking and achievement emotions in predicting goal-setting, time management, and self-evaluation in the context of online learning. In the study, 438 students at six different universities participated. The proposed structural model was analyzed by PLS-SEM. In the structural model, the relationships between open-mindedness in learning, learning technology acceptance, and adapting to…
Acceptance of educational use of the Internet of Things (IoT) in the context of individual innovativeness and ICT competency of pre-service teachers
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that determines educational IoT technology acceptance. This study, the acceptance of IoT in the educational enviro…
Exploring causes and predictors of cyberbullying in gifted and non-gifted students: Academic success, psychological variables, parental and educators’ supervision, motivation, and reactions to cyber v…
The purpose of this study is to explore the motivation of cyberbullying behaviors, their reactions to these behaviors, and the predictors of cyberbullying sensibility in gifted and non-gifted students. The study reached 258 participants, including 102 gifted and 156 non-gifted students. This research is a descriptive survey model. The study performed descriptive statistics, independent samples t-test, ordinal logistic regression analysis, and str…
Predicting the use of chatbot systems in education: A comparative approach using PLS-SEM and machine learning algorithms
Adopting innovations in educational practice is a challenging task. In order to promote the use of technological innovations, acceptance of the technology by potential users is a prerequisite. Indeed, understanding the various factors that influence technology acceptance is critical for technology acceptance research. The use and acceptance of chatbots in education as a technological innovation is a topic that needs to be investigated. Chatbots, …
Psychology (37 works) · Social Psychology (23 works) · Computer Science (22 works) · Impact of Technology on Adolescents (21 works) · Mathematics education (15 works) · Child Development and Digital Technology (14 works) · Developmental psychology (12 works) · Addiction (10 works) · Innovative Teaching and Learning Methods (10 works) · Structural equation modeling (10 works)