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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Kylie Gorney; Sandip Sinharay – Journal of Educational Measurement, 2025
Although there exists an extensive amount of research on subscores and their properties, limited research has been conducted on categorical subscores and their interpretations. In this paper, we focus on the claim of Feinberg and von Davier that categorical subscores are useful for remediation and instructional purposes. We investigate this claim…
Descriptors: Tests, Scores, Test Interpretation, Alternative Assessment
Christian Basil Omeh; Chijioke Jonathan Olelewe; Xiao Hu – Education and Information Technologies, 2025
The adoption of generative AI in educational process carries both potential advantages and risks hence there is a need for ethical principles to guide its adoption in education. A population of 443 TVET educators, including 325 male and 118 female, was selected for this study using a mixed research design from the seven TVET public institutions in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Career and Technical Education, Ethics
Apichat Khamboonruang – Language Testing in Asia, 2025
Chulalongkorn University Language Institute (CULI) test was developed as a local standardised test of English for professional and international communication. To ensure that the CULI test fulfils its intended purposes, this study employed Kane's argument-based validation and Rasch measurement approaches to construct the validity argument for the…
Descriptors: Universities, Second Language Learning, Second Language Instruction, Language Tests
Valérian Cece; Patrick Fargier; Cédric Roure; Vanessa Lentillon-Kaestner – Technology, Pedagogy and Education, 2025
Practising active video games (AVGs) requires performing motor and cognitive tasks, which might foster success in physical education and other school subjects but remains poorly investigated. This study examined the learning effects of six lessons using AVGs with physical education and mathematics content. Overall, 216 school-students composed an…
Descriptors: Interdisciplinary Approach, Teaching Methods, Video Games, Educational Technology
Claude, ChatGPT, Copilot, and Gemini Performance versus Students in Different Topics of Neuroscience
Volodymyr Mavrych; Ahmed Yaqinuddin; Olena Bolgova – Advances in Physiology Education, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…
Descriptors: Artificial Intelligence, Computer Software, Neurosciences, Medical Education
Lanlan Li; Kun Wang; Jiliang Chen – Innovations in Education and Teaching International, 2025
Learner autonomy has received growing interest from researchers and educators since the 1980s. Autonomous learners are supposed to monitor their progress and assess their performance. The present study investigated the effects of learner factors on the scorer reliability of self- and peer-assessment of EFL (English as foreign language) writing…
Descriptors: Self Evaluation (Individuals), Peer Evaluation, Self Concept, English (Second Language)
Heather L. Kaminski; Kathryn Marten; Dianne D. Murphy – Journal of the Scholarship of Teaching and Learning, 2025
The High-Impact Practices (HIPs) Spectrum is a taxonomy for assessing and categorizing courses along a continuum based on elements of High Impact Practices (Marten et al., in press). This study provides quantitative evidence for the validity and impact of the HIPs Spectrum by analyzing seven years of enrollment data in a Midwestern regional…
Descriptors: Academic Achievement, Success, Educational Practices, Learner Engagement
Ali Kürsat Erümit; Rabia Özdemir Sarialioglu – Discover Education, 2025
There is increasing interest in the use of artificial intelligence technologies, which have become a transformative force in the field of education, in educational fields that include subject areas that support lifelong learning, such as science and chemistry education. In this study, a systematic review was conducted on the use and effects of…
Descriptors: Artificial Intelligence, Science Education, Chemistry, Interdisciplinary Approach
Chunsong Jiang; Xuan Chen; Aiping Yu; Guiqin Liang – Education and Information Technologies, 2025
Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect,…
Descriptors: Computer Games, Educational Games, Game Based Learning, Competition
Isaak Papadopoulos; Anna H. Hall; Denitsa Sekoulla; Qianyi Gao – Early Childhood Education Journal, 2025
This study explores the pivotal role of authentic writing experiences in early childhood education by examining preschool educators' beliefs. Utilizing a comprehensive questionnaire, data were gathered from a diverse group of preschool educators, revealing their perspectives on the significance of authentic writing. The research highlights the…
Descriptors: Preschool Teachers, Holistic Approach, Writing Instruction, Learning Experience
Xin Wei; Susu Zhang; Jihong Zhang – Grantee Submission, 2025
This investigation explores the relationship between the use of digital pencil and mathematical problem-solving accuracy among 1,530 students with learning disabilities (LD) and 25,400 general education (GE) peers from the 2017 digital National Assessment of Educational Progress mathematics assessment. The term "digital pencil" in this…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Skills, Problem Solving
Federico Gallo; Beatriz Bermúdez-Margaretto; Anastasia Malyshevskaya; Yury Shtyrov; Hamutal Kreiner; Mikhail Pokhoday; Anna Petrova; Andriy Myachykov – Language Learning, 2025
Native language (L1) attrition is ubiquitous in modern globalized society, but its cognitive/psycholinguistic mechanisms are poorly understood. We investigated lexico-semantic L1 attrition in L1 Russian immigrants in Israel, who predominantly use their second language (L2), Hebrew, in daily life. We included Russian monolinguals as a control…
Descriptors: Language Skill Attrition, Lexicology, Semantics, Native Language
Xin Wei; Susu Zhang; Jihong Zhang – Journal of Special Education Technology, 2025
This investigation explores the relationship between the use of digital pencil and mathematical problem-solving accuracy among 1,530 students with learning disabilities (LD) and 25,400 general education (GE) peers from the 2017 digital National Assessment of Educational Progress mathematics assessment. The term "digital pencil" in this…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Skills, Problem Solving
Stefanie Beninger; Alex Reppel; Julie Stanton; Forrest Watson – Journal of Marketing Education, 2025
The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…
Descriptors: Business Education, Marketing, Artificial Intelligence, Computer Software

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