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Torrey Trust; Robert Maloy; Chenyang Xu; Kael Pelletier – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
Generative artificial intelligence (GenAI) technologies can offer vast professional resources for teachers, empowering them to differentiate their practice, create curricular materials, and generate lesson plans for any topic. But should these novel tools to generate classroom activities and learning experiences be trusted? This study investigates…
Descriptors: Citizenship Education, Civics, Artificial Intelligence, Lesson Plans
Anna J. Markowitz; Walter Herring; Isabelle Fares – Teachers College Record, 2025
Background/Context: The COVID-19 pandemic disrupted family life in myriad ways, including increasing family stress and reducing access to early care and education experiences. Such factors suggest that children's early learning and development may have been negatively impacted, which would have long-term implications for necessary school support.…
Descriptors: COVID-19, Pandemics, School Readiness, Kindergarten
Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
Jiawei Li; Qianru Lyu; Wei Qiu; Andy W. H. Khong – International Educational Data Mining Society, 2025
Deep learning-based course recommendation systems often suffer from a lack of interpretability, limiting their practical utility for students and academic advisors. To address this challenge, we propose a modular, post-hoc explanation framework leveraging Large Language Models (LLMs) to enhance the transparency of deep learning-driven…
Descriptors: Artificial Intelligence, Information Systems, Technology Uses in Education, Course Selection (Students)
Jiayi Zhang; Kirk Vanacore; Ryan S. Baker; Nabil Ch; Caitlin Mills; Owen Henkel – International Educational Data Mining Society, 2025
Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…
Descriptors: Elementary School Students, Junior High School Students, Mastery Learning, Teaching Methods
Zongbi Qin; Maneerat Chuaychoowong – Language Teaching Research Quarterly, 2025
This study conducts a systematic review of artificial intelligence in English as a Foreign Language teaching and learning in China from 2015 to 2024 based on 56 articles selected from Scopus, ScienceDirect, ERIC, and CNKI databases, highlighting emerging trends, unresolved gaps, and possible avenues for future research. The findings reveal that AI…
Descriptors: Foreign Countries, Artificial Intelligence, English (Second Language), Second Language Instruction
Diler Öner – IAFOR Journal of Education, 2025
This case study investigated the development of AI literacy among novice educational researchers through an AI literacy course. AI literacy requires a high level of competence involving the ability to understand AI, use it effectively for specific tasks, evaluate and create AI, and exhibit ethical behavior in its use. The AI literacy course was…
Descriptors: Artificial Intelligence, Digital Literacy, Educational Research, Graduate Students
Kübra Karakaya Özyer – International Journal of Technology in Education and Science, 2025
This study aims to delve into the process and perceptions of pre-service teachers as they engage in generating multiple-choice questions with the assistance of generative AI tools. Adopting a single-case study design, the research involved the participation of 35 pre-service teachers. The participants were tasked with utilizing generative AI tools…
Descriptors: Preservice Teachers, Preservice Teacher Education, Artificial Intelligence, Multiple Choice Tests
Min Tang; Sebastian Hofreiter; Christian H. Werner; Aleksandra Zielinska; Maciej Karwowski – Journal of Creative Behavior, 2025
Recent research suggests that working with generative artificial intelligence (AI), such as ChatGPT, can produce more creative outcomes than humans alone. However, does AI retain its creative edge when humans have access to alternative information sources, such as another human or the internet. We explored this question in a between-group…
Descriptors: Creative Thinking, Man Machine Systems, Interaction, Internet
Patrick Mthethwa – Journal of Instructional Research, 2025
This study is a partial extension of a British Council study conducted on the role of artificial intelligence (AI) in English language teaching across many regions of the world. The British Council study can be found on ResearchGate. This current study investigates pre-service teachers' views on the role of artificial intelligence in English…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Second Language Instruction
Mohammad Al-Bawaleez; Jehad Abed R. Turkey – Educational Process: International Journal, 2025
Background/purpose: The qualitative study discusses applications of artificial intelligence (AI) in Jordanian schools for the gifted. This research accounts for how AI is thought to influence teaching procedures, learning outcomes, and the development of the gifted education profession. Materials/methods: A qualitative design was utilized, and…
Descriptors: Foreign Countries, Artificial Intelligence, Gifted Education, Talent Development
Linh Huynh; Danielle S. McNamara – Grantee Submission, 2025
Four versions of science and history texts were tailored to diverse hypothetical reader profiles (high and low reading skills and domain knowledge), generated by four Large Language Models (i.e., Claude, Llama, ChatGPT, and Gemini). The Natural Language Processing (NLP) technique was applied to examine variations in Large Language Model (LLM) text…
Descriptors: Artificial Intelligence, Natural Language Processing, Textbook Evaluation, Individualized Instruction
Tri Mikael Tran; Misa Bakajic; Madeleine Pullman – Higher Education: The International Journal of Higher Education Research, 2025
The popularity of ChatGPT raises concerns about the impacts of artificial intelligence (AI) on higher education. While past research explored how ChatGPT, a widely recognized text-based generative AI, can improve productivity and efficiency in education, little is yet known about its impact on course design. Utilizing Bloom's taxonomy and Biggs'…
Descriptors: Influence of Technology, Artificial Intelligence, Technology Uses in Education, Curriculum Design
Stephanie Tom Tong; Ashley DeTone; Austin Frederick; Stephen Odebiyi – Communication Education, 2025
Within higher education, the popularity of generative artificial intelligence (AI) has led many administrators and faculty to stress the need for policies regarding its use. However, given its relative novelty, it is unclear how instructors create and communicate such policies to students, in terms of both content and style. We present a detailed…
Descriptors: College Faculty, College Students, Artificial Intelligence, School Policy
Liu Shi; Shengji Li; Jingjing Xing – European Journal of Education, 2025
The growing integration of artificial intelligence (AI) tools into English as a foreign language (EFL) instruction presents new opportunities for fostering students' self-regulated learning (SRL) and task engagement (TE). While prior research has shown that AI-assisted environments can enhance metacognitive monitoring and learning motivation,…
Descriptors: Foreign Countries, Secondary School Students, English (Second Language), Second Language Learning

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