This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in…

The revolutionary breakthrough of ChatGPT has significantly impacted various fields, including education. To produce maximum benefit in education from this innovative technology, it should be properly integrated into educational settings to create effective ways for learning while paying attention to ethical considerations. Understanding students'…

Identifying student teachers' attitudes and anxiety toward artificial intelligence (AI) in regard to their field of study might be helpful in determining whether and how AI will be employed in their future classrooms. Hence, this study aims to compare pre-service STEM and non-STEM teachers' attitudes and anxiety toward AI. In this quantitative…

The concept of Artificial Intelligence (AI) initially emerged as a term in the field of computer science. In the subsequent years, this concept transcended its origins and became relevant across various domains of human life. Nowadays, it's possible to encounter AI in nearly every aspect of human life. In this context, it's considered noteworthy…

This study aims to adapt to Turkish the "Scale for the assessment of non-experts: AI literacy" developed by Laupichler et al. (2023a). The scale consists of 31 items with three sub-dimensions: technical understanding, critical thinking, and practical applications. The data required for the validity and reliability study of the scale were…

In this study, the factors affecting the transactional distance levels of university students who continue their courses with distance education in the 2020-2021 academic years due to the COVID pandemic process were examined. Factors that affect transactional distance are modeled with Artificial Neural Networks, one of the data mining methods.…

Today, countries are taking important steps towards providing more effective services to citizens by determining strategies to quickly adapt to artificial intelligence-based digital transformation processes, especially education, health, security, justice and local services. National strategies for artificial intelligence studies are determined in…

In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…

This study explores users' perceptions of the Virtual Assistant application facilitated by the Anadolu University Open Education System. It assesses the application's effectiveness and user satisfaction by analyzing opinions regarding its importance and the experience it delivers. The research delineates its population as learners engaging with…

The aim of this study was to determine the perceptions of university students about the concept of artificial intelligence. The sample of the research carried out with the screening method consists of 130 fourth grade students studying in the Faculty of Education, Faculty of Arts and Sciences and Faculty of Economics and Administrative Sciences of…

This study explored the effect of ChatGPT on the speaking self-efficacy level of English as foreign language learners. The research followed the mixed method approach and involved a total of 65 participants who were randomly assigned to the experimental and control groups. The experimental group used the ChatGPT for communicative activities, while…

The aim of this study was to investigate the extent to which pre-service teachers' belief in academic engagement, student burnout, and proactive strategies predicts academic self-efficacy through machine learning approach. The study group consisted of 446 pre-service teachers at Sivas Cumhuriyet University, Faculty of Education. The Academic…

This study investigates the perceptions and experiences of 25 pre-service EFL teachers with a chatbot to study course contents. The findings highlight the diversity of pre-service teachers' experiences and advocate a balanced approach that acknowledges the benefits and challenges of chatbots. Considering the evolving technological landscape, the…

Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…

The aim of this study is to adapt the 15-item Chatbot Usability Scale to the Turkish language and culture and evaluate the validity and reliability of the scale in the Turkish language and culture after the adaptation process. The necessary permissions were obtained, and the process was initiated. Proficient translators in both cultures were…