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Showing 1 to 15 of 87 results Save | Export
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Jiun-Yu Wu; Yuan-Hsuan Lee; Ching Sing Chai; Chin-Chung Tsai – Educational Researcher, 2025
This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai's (2004) work to explore the…
Descriptors: Artificial Intelligence, Personal Autonomy, Epistemology, Interaction
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William McGalliard; Samuel Otten – Digital Experiences in Mathematics Education, 2025
This article considers the rise of generative Artificial Intelligence (GenAI) in the context of secondary mathematics education, focusing on its responses to cognitively demanding tasks and the pedagogical implications of these interactions. Using tools such as ChatGPT (OpenAI) and Gemini (Google), we investigate how GenAI engages in complex…
Descriptors: Artificial Intelligence, Secondary School Mathematics, Computer Uses in Education, Mathematics Education
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Alden J. Edson; Ashley Fabry; Ahmad Wachidul Kohar; Leslie Bondaryk; Elizabeth Difanis Phillips – Digital Experiences in Mathematics Education, 2025
This article reports on a novel approach to integrate artificial intelligence into a digital collaborative platform embedded with a problem-based mathematics curriculum. Using design research methodologies, we developed a new "proof-of-concept" design feature called "student proportional reasoning arrows (SPArrows)." SPArrows…
Descriptors: Artificial Intelligence, Documentation, Problem Based Learning, Computer Uses in Education
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Venkataraman Balaji; Betty Obura Ogange; Tony Mays – Journal of Learning for Development, 2025
Artificial intelligence (AI) is rapidly transforming various sectors, including education. One of the most promising applications of AI in education is in the development and adaptation of Open Educational Resources (OER). COL's Teacher-in the-Loop (TiL-AI) initiative empowers teachers and TVET trainers across the Commonwealth to leverage…
Descriptors: Artificial Intelligence, Open Educational Resources, Teacher Empowerment, Relevance (Education)
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Oliver Woollett – Curriculum Journal, 2025
Debate exists about the role and value of teaching spelling in the middle years of schooling. The increasing use of assistive technology in schools, has prompted questions about the time devoted to teaching spelling. Yet spelling and writing continue to be the means through which students are assessed as they move through school. In their study of…
Descriptors: Spelling Instruction, Curriculum Development, Computer Uses in Education, Artificial Intelligence
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Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
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Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
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Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
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Andrew Cavanaugh; D. Joel Whalen – Business and Professional Communication Quarterly, 2025
This article presents a curated collection of nine teaching innovations presented at the Association for Business Communication 89th conference in the "oil capital of the world," Tulsa, Oklahoma, as well as online, in October 2024. Many of the MFA presenters demonstrated how AI can be used, integrated, and analyzed in business…
Descriptors: Artificial Intelligence, Instructional Innovation, Business Communication, Assignments
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James T. Davis – HAPS Educator, 2025
The use of large language models (LLMs) in education is often debated, but when used effectively, they can enhance learning. LLMs can be particularly useful for reinforcing physiology concepts, such as diagnostic reasoning in acid-base balance disorders. Traditional case-based learning is limited by the number of instructor-provided cases, whereas…
Descriptors: Physiology, Artificial Intelligence, Computer Uses in Education, Case Method (Teaching Technique)
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Haibin Sun; Tingting Liu – Higher Education Studies, 2025
To address existing challenges in teaching theoretical mechanics and enhance instructional quality, the teaching team implemented innovative reforms. Guided by a "student-centered" philosophy and powered by digital intelligence technologies with "Chaoxing" AI as the engine, the course reconstructed a three-dimensional objective…
Descriptors: Educational Change, Educational Innovation, Mechanics (Physics), Student Centered Learning
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Naima Debbar – International Journal of Contemporary Educational Research, 2024
Intelligent systems of essay grading constitute important tools for educational technologies. They can significantly replace the manual scoring efforts and provide instructional feedback as well. These systems typically include two main parts: a feature extractor and an automatic grading model. The latter is generally based on computational and…
Descriptors: Test Scoring Machines, Computer Uses in Education, Artificial Intelligence, Essay Tests
Foundation for Excellence in Education (ExcelinEd), 2023
Artificial intelligence (AI) has been a hot topic since OpenAI released ChatGPT in late 2022. Predictions on how ChatGPT will affect education have ranged from fears of rampant cheating and job displacement in many career fields to glowing predictions of a future with personalized learning for all students through AI-powered tools. People are…
Descriptors: Artificial Intelligence, Computer Uses in Education, Influence of Technology, Cheating
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Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
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Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
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