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Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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Ozgun Uyanik Aktulun; Koray Kasapoglu; Bulent Aydogdu – Journal of Baltic Science Education, 2024
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…
Descriptors: Foreign Countries, Preservice Teachers, STEM Education, Student Attitudes
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Vafa Savaskan; Nursah Özer – Shanlax International Journal of Education, 2024
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…
Descriptors: Turkish, Artificial Intelligence, Figurative Language, Preservice Teachers
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Xian Li; Guangxin Han; Bei Fang; Juhou He – Asia-Pacific Education Researcher, 2025
The development of artificial intelligence (AI) significantly improves the effectiveness of classroom dialogue systems, but their integration into the learning environment remains challenging. To address this gap, this research presents a framework for automatic intelligent dialogue analysis, intending to promote high-quality classroom dialogue…
Descriptors: Artificial Intelligence, Classroom Communication, Discourse Analysis, Dialogs (Language)
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Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Shuling Yang; Carin Appleget – Journal of Digital Learning in Teacher Education, 2024
Guided by the Technology Acceptance Model, the researchers designed a Google Form survey to explore elementary preservice teachers' (PSTs') perceptions of using Generative AI (GenAI) as part of an authentic literacy methods course activity. Following the activity, responses to a qualitative survey were analyzed to learn about PSTs' experience of…
Descriptors: Artificial Intelligence, Educational Technology, Preservice Teachers, Elementary School Teachers
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Fengyao Sun; Peiyao Tian; Daner Sun; Yanhua Fan; Yuqin Yang – British Journal of Educational Technology, 2024
In the ever-evolving AI-driven education, integrating AI technologies into teaching practices has become increasingly imperative for aspiring STEM educators. Yet, there remains a dearth of studies exploring pre-service STEM teachers' readiness to incorporate AI into their teaching practices. This study examined the factors influencing teachers'…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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Isabel Pont-Niclòs; Yolanda Echegoyen-Sanz; Patricia Orozco-Gómez; Antonio Martín-Expeleta – Digital Education Review, 2024
Artificial Intelligence (AI) brings enormous opportunities into learning, teaching, and assessment processes. Among them, it is convenient to explore its ability to channel students' creativity, which is described as a basic competence in the training of people with both the OECD and the recent Spanish LOMLOE law pointing to the need to foster it…
Descriptors: Artificial Intelligence, Creativity, Preservice Teachers, Elementary School Teachers
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Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
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Song, Donggil; Oh, Eun Young; Hong, Hyeonmi – Educational Technology & Society, 2022
The aim of this study is to evaluate the effects of a teaching simulation activity that uses a chatbot on preservice teachers' efficacy. Forty-six preservice teachers were asked to teach the chatbot the topic of school violence and how to handle it. They were assigned to one of three groups: Teaching a chatbot whose attitude was impolite, polite,…
Descriptors: Simulation, Computer Mediated Communication, Artificial Intelligence, Student Attitudes
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Yildiz, Hatice – African Educational Research Journal, 2023
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…
Descriptors: Preservice Teachers, Academic Achievement, Self Efficacy, Artificial Intelligence
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Istenic, Andreja; Bratko, Ivan; Rosanda, Violeta – British Journal of Educational Technology, 2021
Teachers' readiness for technology integration depends also on their beliefs about the contribution of technology to teaching and learning, which influence their motivation for its adoption. Initial pre-service teacher education is critical in reducing the attitude-behaviour divide supporting technology acceptability, acceptance and use.…
Descriptors: Preservice Teachers, Technology Integration, Robotics, Technology Uses in Education
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Hsiao-Ping Hsu; Janice Mak; Jennifer Werner; Janel White-Taylor; Melissa Geiselhofer; Alan Gorman; Carolina Torrejon Capurro – Journal of Technology and Teacher Education, 2024
As part of an international collaborative design-based research initiative, this study examines the applications and perceptions of generative artificial intelligence (Gen AI) among pre-service primary teachers within an Irish educational program. It focuses on how personal and academic uses of Gen AI influence their perceptions of using Gen AI…
Descriptors: Lesson Plans, Student Attitudes, Artificial Intelligence, Teacher Education Programs
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Jason Zagami – International Journal on E-Learning, 2024
This mixed methods study investigates the role of AI chatbots in assisting preservice teachers with creating differentiated lesson plans that emphasise student diversity and inclusion within an online learning environment. By conducting a comparative analysis of preservice teachers utilising AI chatbots versus those who did not, the research…
Descriptors: Artificial Intelligence, Preservice Teachers, Preservice Teacher Education, Individualized Instruction
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