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Showing 1 to 15 of 26 results Save | Export
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Marwan Mohammad Abualrob – Contemporary Educational Technology, 2025
This study aims to uncover the prompts most frequently repeated by pre-service teachers when using the Copilot technique, as well as their reflections on its use in preparing and planning science lessons for fourth graders. The qualitative research methodology with an exploratory case-study design was conducted on a purposeful sample of 20…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Grade 4
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Gyeong-Geon Lee; Seonyeong Mun; Myeong-Kyeong Shin; Xiaoming Zhai – Science & Education, 2025
This research aims to demonstrate that artificial intelligence (AI) can function not only as a tool for learning, but also as an intelligent agent with which humans can engage in collaborative learning (CL) to change epistemic practices in science classrooms. We adopted a design and development research approach, following the Analysis, Design,…
Descriptors: Artificial Intelligence, Cooperative Learning, Science Instruction, Preservice Teachers
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Lisa A. Dieker; Rebecca Hines; Ilene Wilkins; Charles Hughes; Karyn Hawkins Scott; Shaunn Smith; Kathleen Ingraham; Kamran Ali; Tiffanie Zaugg; Sachin Shah – Journal of Special Education Preparation, 2024
The options for Artificial intelligence (AI) tools used in teacher education are increasing daily, but more is only sometimes better for teachers working in already complex classroom settings. This team discusses the increase of AI in schools and provides an example from administrators, teacher educators, and computer scientists of an AI virtual…
Descriptors: Artificial Intelligence, Elementary Schools, Preservice Teachers, Preservice Teacher Education
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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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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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Ahsen Filiz; Hülya Gür – Educational Process: International Journal, 2025
Background/purpose: This study aims to examine the impact of prospective mathematics teachers' metacognitive awareness on their perceptions and applications of ChatGPT in problem-solving processes. The research investigates how these prospective mathematics teachers perceive and utilize ChatGPT, focusing on the relationship between their…
Descriptors: Student Attitudes, Metacognition, Problem Solving, Artificial Intelligence
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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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Gyeong-Geon Lee; Xiaoming Zhai – IEEE Transactions on Learning Technologies, 2024
While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in the classroom. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers and assessing how they integrated ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Science Education, Preservice Teachers
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Peter J. Kalenda; Logan Rath; Marium Abugasea Heidt; Allison Wright – Journal of Educational Technology Systems, 2025
This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…
Descriptors: Preservice Teachers, Teacher Attitudes, Technology Uses in Education, Synchronous Communication
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Seyum Getenet – International Electronic Journal of Mathematics Education, 2024
This study compared the problem-solving abilities of ChatGPT and 58 pre-service teachers (PSTs) in solving a mathematical word problem using various strategies. PSTs were asked to solve a problem individually. Data was collected from PSTs' submitted assignments, and their problem-solving strategies were analyzed. ChatGPT was also given the same…
Descriptors: Problem Solving, Ability, Preservice Teachers, Artificial Intelligence
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Angelina Bautista; Christine Estrada; Andrei Melvin Jaravata; Laina Mae Mangaser; Ferdinand Narag; Rachell Soquila; Raphael Job Asuncion – Educational Process: International Journal, 2024
Background/Purpose: Technological pedagogical content knowledge (TPACK) emphasizes the effective integration of artificial intelligence (AI)-based tools in education, where specific knowledge is measured individually. This research determines the readiness of preservice teachers (PSTs) to integrate AI-based tools in education through the TPACK…
Descriptors: Preservice Teachers, Readiness, Technology Integration, Artificial Intelligence
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Pu, Song; Ahmad, Nor Aniza; Md. Khambari, Mas Nida; Yap, Ng Keng; Ahrari, Seyedali – Asian Journal of University Education, 2021
The purpose of this study is twofold: (1) to develop a service-learning-based module training artificial intelligence (AI) subject (SLBM-TAIS); and (2) to evaluate the effect of SLBM-TAIS on preservice teachers' (PSTs') practical knowledge and motivation, as well as primary school students' attitude towards AI in China. Participants of this study…
Descriptors: Preservice Teachers, Knowledge Level, Student Motivation, Artificial Intelligence
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Berkay Ceylan; Melek Altiparmak Karakus – International Journal of Technology in Education and Science, 2024
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…
Descriptors: Artificial Intelligence, Handheld Devices, Telecommunications, Computer Oriented Programs
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Akgün, Ergün; Demir, Metin – International Journal of Assessment Tools in Education, 2018
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…
Descriptors: Elementary School Teachers, Preservice Teachers, Artificial Intelligence, Science Education
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Akgün, Ergün; Demir, Metin – Online Submission, 2018
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…
Descriptors: Elementary School Teachers, Preservice Teachers, Artificial Intelligence, Science Education
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