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Maria Lucia Bernardi; Roberto Capone; Eleonora Faggiano; Helena Rocha – International Journal of Mathematical Education in Science and Technology, 2025
Incorporating technologies with Generative Artificial Intelligence (GenAI) into education requires a shift in teaching methodologies. However, little is known about how pre-service teachers perceive the relevance and challenges of this incorporation, particularly in mathematics education. This study investigates pre-service teachers' interactions…
Descriptors: Artificial Intelligence, Mathematics Education, Preservice Teachers, Preservice Teacher Education
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Guo-lin Wang; Goodarz Shakibaei; Fidel Çakmak – British Educational Research Journal, 2025
Language learning practices have transformed significantly due to the advent of digital technologies like artificial intelligence (AI) tools and gamified mobile applications. This study explored the effects of gamified mobile language learning (GMLL) and AI-assisted language learning (AIALL) on academic integrity, creative trait motivation and…
Descriptors: Gamification, Second Language Learning, English (Second Language), Males
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Soyeon Sim; YouJin Kim; Keong Ku – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This study compared task-based interaction with ChatGPT and peer interaction in the effectiveness of learning L2 speech acts (requests and refusals) and explored L2 learners' perceptions towards task performance. Forty Korean EFL learners were randomly assigned to either the peer interaction group (n = 20) or the ChatGPT group (n = 20). Both…
Descriptors: Artificial Intelligence, Second Language Learning, Pragmatics, Speech Acts
Sean Tanner; Kelsey Krausen; Betsy Garcia; Amanda Brown – WestEd, 2025
Nevada's Pupil-Centered Funding Plan (PCFP) is the first in the nation to use a machine learning-based at-risk indicator (the GRAD score) to allocate funding based on students' likelihood of not graduating. The indicator closely aligns with traditional measures of need--such as identifying students with individualized education programs (IEPs),…
Descriptors: Funding Formulas, Educational Finance, Artificial Intelligence, At Risk Students
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Taklaew Klaewkla; Rukthin Laoha; Raweewan Auppawitsawakorn; Kotchaporn Seekarean – Higher Education Studies, 2025
This study developed and validated an instructional model that integrates Artificial Intelligence (AI), gamification, collaboration, and engagement in English as a Foreign Language (EFL) learning. Using a three-phase consensus-based approach, Phase 1 synthesized theoretical foundations from Communicative Language Teaching (CLT), Second Language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Gamification, English (Second Language)
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Carmen Gillies – McGill Journal of Education, 2025
Drawing from a review of literature that has explored the history of scientific racism, this article considers how understanding the history of race, as an 18th- and 19th-century invention of Western Europe and the United States, can enhance Canadian anti-racist teacher education. I begin with a review of key conceptual building blocks of race --…
Descriptors: History Instruction, Science History, Racism, Social Justice
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Sedigheh Moghavvemi; Farooq Ahmed Jam – Education and Information Technologies, 2025
AI has transformed education by reshaping teaching and learning processes. ChatGPT plays a significant role in enhancing these processes; however, effective educator training is essential for its optimal use. Educators and researchers are increasingly adopting AI chatbots, expecting them to improve learning experiences and reduce teacher workload.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Privacy
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Jessica L. Parker; Veronica M. Richard; Alexandra Acabá; Sierra Escoffier; Stephen Flaherty; Shannon Jablonka; Kimberly P. Becker – International Journal of Artificial Intelligence in Education, 2025
This paper examines the integration of generative artificial intelligence (AI) in doctoral writing pedagogy. It explores how AI augments traditional teaching and composition processes, fosters a new paradigm of cognitive engagement and collaborative academic writing, and the broader ethical and social implications of human-AI writing in doctoral…
Descriptors: Artificial Intelligence, Writing Instruction, Doctoral Programs, Computer Uses in Education
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Yue Huang; Joshua Wilson; Henry May – International Journal of Artificial Intelligence in Education, 2025
Automated writing evaluation (AWE) is an artificial intelligence (AI)-empowered educational technology designed to assist writing instruction and improve students' writing proficiency. The present study adopted a quasi-experimental design using the inverse probability of treatment weighting method to explore the long-term effects of an AWE system…
Descriptors: Writing Evaluation, Automation, Computer Uses in Education, Artificial Intelligence
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Hu Gao; Yueyue Tan – Higher Education Studies, 2025
This study systematically reviews and compares the integration of Artificial Intelligence (AI) in vocational and undergraduate education, drawing on 50 peer-reviewed studies published between 2018 and 2025. Findings reveal that undergraduate institutions primarily leverage AI to enhance theoretical exploration, research capacity, and higher-order…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Undergraduate Study
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Birgit Pepin; Nils Buchholtz; Ulises Salinas-Hernández – Digital Experiences in Mathematics Education, 2025
This study presents a scoping survey examining the integration of ChatGPT in mathematics education, highlighting its benefits, challenges, and implications for teaching and learning. The survey identifies key themes, including ChatGPT's ability to assist in understanding mathematical concepts, lesson planning, assessment design, personalized…
Descriptors: Mathematics Education, Artificial Intelligence, Computer Uses in Education, Mathematical Concepts
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Shella Gherina Saptiany; Rudi Hartono; Januarius Mujiyanto; Katharina Rustipa – Educational Process: International Journal, 2025
Background/purpose: Foreign language speaking anxiety poses a persistent challenge for Indonesian ESP students in hospitality programs. Traditional classroom settings often exacerbate this anxiety, limiting students' confidence and speaking fluency. This study investigates how ChatGPT's Voice Conversation Mode can create a low-pressure environment…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Audio Equipment
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Jonna Marie Lim; Christian Go – TESL-EJ, 2025
This paper explores the integration of ChatGPT into the L2 writing classroom as a tool for enhancing teacher feedback on student essays. Using a reflexive case study methodology, we examine how generative AI (GenAI) augments teacher feedback in areas such as thesis clarity, idea development, and grammatical accuracy. By combining ChatGPT's rapid…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Second Language Learning
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Xiaohong Ji; Xin Liu; Xin Chen; Rong Li – Education and Information Technologies, 2025
Students classroom behaviours are complex and variable, involving multiple aspects such as students personality traits, learning attitudes, thinking styles and learning abilities, but traditional classroom behavioural assessment cannot comprehensively and reasonably assess students classroom learning status. The study adopts the improved Yolov5…
Descriptors: Student Behavior, Classroom Techniques, Artificial Intelligence, Identification
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Julia Pargmann; Florian Berding; Karin Rebmann; Elisabeth Riebenbauer – Empirical Research in Vocational Education and Training, 2025
This study explores the use of analytical artificial intelligence (AI) to enhance lesson planning in teacher education, particularly in vocational business education. Providing detailed, individualized feedback for lesson planning is challenging for university instructors. An analytical AI platform that offers expert-level feedback on lesson plans…
Descriptors: Artificial Intelligence, Lesson Plans, Planning, Preservice Teacher Education
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