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Melissa Kay Diliberti; Heather L. Schwartz; Sy Doan; Anna Shapiro; Lydia R. Rainey; Robin J. Lake – RAND Corporation, 2024
The release of such generative artificial intelligence (AI) tools as ChatGPT in 2022 was a major advancement in the field of AI. Two burning questions for kindergarten through grade 12 (K--12) educators are to what extent new generative AI tools will change teaching and whether they will improve learning. The answers to these questions are not yet…
Descriptors: Artificial Intelligence, Instructional Materials, Elementary School Teachers, Secondary School Teachers
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Zhao, Li; Zheng, Yi; Zhao, Junbang; Li, Guoqiang; Compton, Brian J.; Zhang, Rui; Fang, Fang; Heyman, Gail D.; Lee, Kang – Child Development, 2023
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…
Descriptors: Cheating, Elementary School Students, Artificial Intelligence, Foreign Countries
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Jiahong Su – Education and Information Technologies, 2025
Although artificial intelligence (AI) is becoming more commonly integrated into our everyday lives, homes, and schools, there needs to be more research regarding parental attitudes toward using AI technologies and AI literacy education to understand better and advance AI and AI literacy in kindergarten. To address this gap, this study explored…
Descriptors: Foreign Countries, Kindergarten, Young Children, Parent Attitudes
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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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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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Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
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Antonios Kafa – International Journal of Educational Management, 2025
Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Elementary Schools, Secondary Schools
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Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
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Mohamed Ali Nagy Elmaadaway; Mohamed Elsayed El-Naggar; Mohamed Radwan Ibrahim Abouhashesh – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) made substantial progress with language recognition. Proficiency in spoken English reading is a prerequisite for fluency in written English. However, research on its use, especially for non-native speakers, is lacking despite increased usage. Objectives: This study aimed to enhance the oral reading fluency…
Descriptors: Artificial Intelligence, Reading Fluency, Elementary School Students, Oral Reading
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Ayse Alkan; Ezgi Pelin Yildiz – International Journal of Research in Education and Science, 2024
The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included…
Descriptors: Foreign Countries, Gifted, Elementary School Students, Middle School Students
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Chen-Chung Liu; Yen-Yu Lin; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Education and Information Technologies, 2025
Fostering English reading interest and engagement among young learners in non-native settings demands innovative strategies. Previous studies emphasized the role of teachers in enhancing reading interest, for example, through dialogic reading due to its interactive nature. However, this approach is challenging to implement on a large scale.…
Descriptors: Learner Engagement, Gamification, Computer Simulation, Reading Interests
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Kimin Chung; Soohwan Kim; Yeonju Jang; Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…
Descriptors: Artificial Intelligence, Technological Literacy, Diagnostic Tests, Elementary School Students
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Jale Kalemkus; Fatih Kalemkus – European Journal of Education, 2025
Due to the frequent use of artificial intelligence (AI) technologies in daily life, it is thought that primary school students acquire information about this concept from various sources. The way these sources present AI may affect students' perceptions of AI. In the study, it was aimed to examine the perceptions of third and fourth grade primary…
Descriptors: Elementary School Students, Grade 3, Grade 4, Artificial Intelligence
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Kason Ka Ching Cheung; Jack Pun; Wangyin Kenneth-Li; Jiayi Mai – Journal of Science Education and Technology, 2025
As students read scientific texts created in generative artificial intelligence (GenAI) tools, they need to draw on their epistemic knowledge of GenAI as well as that of science. However, only a few research discussed multimodality as a methodological approach in characterising students' ideas of GenAI-science epistemic reading. This study…
Descriptors: Epistemology, Reading Processes, Concept Formation, Science Education
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Lu Cai – International Journal of Technology and Design Education, 2024
Based on Folk theory, Media Equation, and AI literacy research, the study constructed an interview outline and selected 72 students in 4th and 5th grade in three primary schools located in the Minhang and Putuo districts of Shanghai (two in the Minhang district and one in the Putuo district) as the study participants for focus group interviews.…
Descriptors: Foreign Countries, Grade 4, Grade 5, Artificial Intelligence
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