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…

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…

The present study aims to determine the anxiety and attitudes of pre-service Turkish language teachers towards artificial intelligence and to examine the relationship between the two. The sample group of the study, which was based on a correlational survey design, consisted of 232 pre-service Turkish language teachers studying at 14 different…

The burgeoning role of Artificial Intelligence (AI) in education prompts crucial discussions regarding its implications for teaching and learning. This qualitative study probes the argumentative perspectives of 118 teacher candidates from Igdir University on the integration of AI into educational practices. Employing Toulmin's (1958) model, we…

The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative inquiry, investigates the experiences and perceptions of 141 preservice teachers engaged with AI,…

This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: (i) to develop an AI-based mobile application from scratch based customized for education (ii) to enhance…

The aim of the present study was to determine the views of pre-service teachers on artificial intelligence. In the present qualitative study, conducted with the phenomenology design, that data were collected from 94 pre-service teachers attending different departments at Manisa Celal Bayar University, Faculty of Education during the 2018- 2019…

This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…

Writing in L2 is both crucial and difficult for teachers and students since most of the assessment in higher education is in written form. The production of texts as well as providing feedback to them requires time and effort on both sides. For this reason, prediction of future L2 writing performance in advance may prove quite useful both for…

This study focuses on the relationship among Content Knowledge (CK), Pedagogic Knowledge (PK), and Technological Knowledge (TK) using Technological Pedagogical Content Knowledge (TPACK). The aim of the study is to use the determined relationship to provide mathematical clarity using the Rough Set Theory, which is commonly used in areas such as…

In the conducted study, it was aimed to determine the impacts of Society 5.0 on digital transformation in organizations in human technology integration. For this purpose, answers were sought to the questions of changing positions of people in line with changing business conditions, functions of people in the digital world, changing roles of…

Aim/Purpose: The present study explores the use of AI-powered ChatGPT as a feedback tool for automated writing evaluation in a higher education context. Background: Artificial intelligence (AI) is increasingly applied in the field of education, offering new opportunities with its evolving capabilities. One area where AI tools have promising…

In this study, it was aimed to predict elementary education teacher candidates' achievements in "Science and Technology Education I and II" courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of…