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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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Gavin F. Hurley – Journal of Catholic Education, 2024
This article proposes a theoretical basis of Augustinian composition pedagogy by tracing the symbiotic relationship between writing and knowing found within St. Augustine's "Letters," "The Trinity," "Soliloquies," and "Confessions" and connecting them to modern writing-to-learn composition pedagogies. Given…
Descriptors: Teaching Methods, Writing (Composition), Liberal Arts, Artificial Intelligence
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Sheri Grotrian; Lisa Parriott; Brad Griffin; Brady Woerth; Wyatt Rowell – Educational Research: Theory and Practice, 2024
This paper is a review of student perceptions and usage of ChatGPT and other Artificial Intelligence (AI) tools. Technology has made significant changes in education, and in the last 30 years, none may be as impactful as what we refer to as ChatGPT as this was the first tool to make inroads into a chat-based artificial intelligence available to…
Descriptors: Artificial Intelligence, Computer Software, Student Attitudes, Teaching Methods
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Patrick Adriel Aure; Oriana Cuenca – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This exploratory study innovates the pedagogy of undergraduate business research courses by integrating Generative Artificial Intelligence (GAI) tools, guided by human-centered artificial intelligence, social-emotional learning, and authenticity principles. Design/methodology/approach: An insider case study approach was employed to…
Descriptors: Social Emotional Learning, Artificial Intelligence, Business Education, Teaching Methods
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Bablu Karan – Technology, Pedagogy and Education, 2024
The rapid advent of artificial intelligence (AI) is influencing education systems at all levels. Understanding the wide-ranging potential implications of AI, the Indian Central Board of Secondary Education (CBSE) has produced an AI integration manual consisting of details, strategies and approaches to successfully integrate AI in teaching and…
Descriptors: Technology Integration, Artificial Intelligence, Secondary Education, Foreign Countries
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Md. Mirajul Islam; Xi Yang; John Hostetter; Adittya Soukarjya Saha; Min Chi – International Educational Data Mining Society, 2024
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) often suffers from "sample inefficiency" and "reward function" design difficulty, Apprenticeship Learning (AL) algorithms can overcome them.…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Teaching Methods, Algorithms
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Hugo Edgar Mesquita; Adriana Baptista; Olívia Silva – Open Education Studies, 2025
This article explores the integration of "synthography" in the context of a class in the Degree in Photography, as a strategy to explore artistic and professional practices in the digital transformation era, problematizing the pedagogical implications of using artificial intelligence (AI) in creative disciplines. The study revolves…
Descriptors: Artificial Intelligence, Computer Software, Photography, Teaching Methods
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Muhammad Farrukh Shahzad; Shuo Xu; Xin An; Hira Zahid; Muhammad Asif – European Journal of Education, 2025
The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These technologies can generate content, simulate interactions, and adapt to learners' needs, offering opportunities for interactive learning experiences. In…
Descriptors: Artificial Intelligence, Learning Processes, Teaching Methods, Foreign Countries
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Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
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Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
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Xiaohua Liu; Yangyu Xiao – Education and Information Technologies, 2025
The bulk of recent research on generative AI (GenAI) in education mainly focused on its potential pedagogical uses as well as how students actually exploit such tools during learning, while little has been done to systematically investigate how teachers integrate those tools in different parts of their teaching process. To bridge this gap, the…
Descriptors: College Faculty, Foreign Countries, Artificial Intelligence, Second Language Instruction
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Orkun Kocak; Sahin Idil – Journal of Education in Science, Environment and Health, 2025
This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…
Descriptors: Climate, Artificial Intelligence, Accuracy, Environmental Education
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Ana Roman; Maria Simaitis; Kate Sheely; Yotam M. Roth; John T. Tansey; John Cogan – Biochemistry and Molecular Biology Education, 2025
ChatGPT has emerged as a popular choice in education that has transformed the experience for both teachers and students. This study investigates the performance of ChatGPT in aiding learning in the biochemistry classroom in two ways. We sought to determine how effective ChatGPT 3.5 was in generating study materials for an introductory biochemistry…
Descriptors: Artificial Intelligence, Biochemistry, Science Instruction, Technology Uses in Education
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Nisar Ahmed Dahri; Noraffandy Yahaya; Muhammad Saleem Vighio; Nurul Farhana Jumaat – Education and Information Technologies, 2025
This study explores the impact of ChatGPT on educational efficacy using the Stimulus-Organism-Response (SOR) model with supportive concepts from the Self-Determination Theory (SDT) and the Technology Acceptance Model (TAM). To understand how Perceived Autonomy, Perceived Competence, Perceived Relatedness, Perceived Ease of Use, and Perceived…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Methods, Performance
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