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Angélique Létourneau; Marion Deslandes Martineau; Patrick Charland; John Alexander Karran; Jared Boasen; Pierre Majorique Léger – npj Science of Learning, 2025
The use of artificial intelligence in education (AIEd) has grown exponentially in the last decade, particularly intelligent tutoring systems (ITSs). Despite the increased use of ITSs and their promise to improve learning, their real educational value remains unclear. This systematic review aims to identify the effects of ITSs on K-12 students'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Elementary Secondary Education
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Peter Bannister; Mark Carver – Professional Development in Education, 2025
Responding to GenAI technologies, academics press for PLD that informs pedagogical practice and policy development. However, insufficient critical evaluation of whose knowledge informs this and its underlying complexity has resulted in excessively reductive offerings that either champion specific tools or advocate for their prohibition. Engaging…
Descriptors: Artificial Intelligence, Faculty Development, English for Academic Purposes, Language Teachers
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Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
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Cesare Giulio Ardito – New Directions for Teaching and Learning, 2025
This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Identification
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Shamola Pramjeeth; Priya Ramgovind – New Directions for Teaching and Learning, 2025
While AI has the potential to streamline assessment development in higher education, there are concerns about its reliability, fairness, and potential to perpetuate bias. This study sought to understand the perceptions of academics and teaching and learning (T&L) specialists on the use of AI tools and large language models on assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Assessment
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Daniel Dale – New Directions for Teaching and Learning, 2025
ChatGPT and generative AI (GenAI) are disrupting students' traditional writing process. Although this development may seem novel, new technologies and writing practices have always affected the classroom, as research in composition shows. Turning to this existing scholarship, I show how composition studies provide a useful framework for thinking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Integration
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Nazli Unlu Bidik – European Journal of Education, 2025
ChatGPT is one of the most popular artificial intelligence tools today. The number of users is increasing rapidly every day. ChatGPT, which is used in many fields for different purposes, has the potential to revolutionise the field of education and health. The study aims of the study is to investigate the learning experiences and expectations of…
Descriptors: Clinical Experience, Student Experience, Expectation, Obstetrics
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Guangxiang Leon Liu; Minlin Minny Zou; Ali Soyoof; Ming Ming Chiu – European Journal of Education, 2025
Artificial intelligence-mediated informal digital learning of English (AI-IDLE) might strengthen second language (L2) learners' motivational self-concept (e.g., the ideal L2 self) and enhance their foreign language enjoyment (FLE) by enabling them to build confidence, engagement, and willingness to practice their English skills in a self-directed,…
Descriptors: Artificial Intelligence, Electronic Learning, Second Language Learning, English (Second Language)
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Ammar Abulibdeh; Chedli Baya Chatti; Aya Alkhereibi; Sherine El Menshawy – European Journal of Education, 2025
This scoping review discusses artificial intelligence's (AI) transformative role in strategic enhancement planning and academic excellence at Qatar University (QU). In response to the unprecedented rise in the integration of AI into higher education institutions worldwide, this study aims to understand its influence on institutional strategies and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Strategic Planning, Educational Quality
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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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Lina Xue – European Journal of Education, 2025
With the advent of chatGPT, burgeoning research have been conducted to explore AI technologies' impact on the EFL teaching and learning. However, little is known about how language teachers navigate the shifting education landscape and develop the digital literacy in the AI era. This preliminary qualitative study aims to investigate the processes…
Descriptors: English (Second Language), Second Language Instruction, Language Teachers, Faculty Development
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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
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Pauldy C. J. Otermans; Charlotte Roberts; Stephanie Baines – International Journal of Technology in Education, 2025
This study examines the relationship between students' attitudes toward artificial intelligence (AI) and both AI competence and conceptions. 176 UK university students completed a survey where they were asked to rate statements in relation to their attitudes towards AI, their AI competence and their conceptions about AI using 5-point Likert-type…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Educational Technology
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Bryan P. Sanders – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay explores the transformative concept of co-active emergence in education, where human and machine intelligence synergize to enhance learning experiences. It discusses the integration of AI in doctoral research, emphasizing collaborative efforts between humans and AI to push academic boundaries. It also addresses the challenges and…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cooperation
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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
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