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Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
Kaili Lu; Jianrong Zhu; Feng Pang; Rustam Shadiev – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…
Descriptors: College Students, Artificial Intelligence, Digital Literacy, Thinking Skills
Yong Zhao; Ruojun Zhong – ECNU Review of Education, 2025
Purpose: The purpose of this article is to analyze educational changes, in particular transformational changes, and suggest a new approach to shift the paradigm in education using an ecological conceptual framework. Design/Approach/Methods: An ecological analysis of two key factors in education: prescribed curriculum and student autonomy.…
Descriptors: Educational Change, Holistic Approach, Personal Autonomy, Curriculum
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
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
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
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
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
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
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
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)
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
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
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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