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Direct linkCarla B. Brigandi; Karen E. Rambo-Hernandez; Jiangmei Yuan; Maryann R. Hebda; Robin Spitznogle; Remeri Mestemacher-McClanahan; Sarah Wilson – Gifted Child Today, 2025
Code.org is a leading non-profit organization providing professional learning (PL) for K-12 teachers across the United States to advance computer science (CS) education. While PL is known to improve teaching practices and student outcomes in general education, CS, and gifted education, limited research has specifically examined how CS-focused PL…
Descriptors: Faculty Development, Elementary School Teachers, Secondary School Teachers, Gifted Education
Download full textMaya Usher; Noga Reznik; Gilad Bronshtein; Dan Kohen-Vacs – Journal of Learning Analytics, 2025
Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…
Descriptors: Computation, Thinking Skills, Creativity, Robotics
Katerina Nerantzaki; Polykarpos Meladianos – Journal of Interactive Learning Research, 2025
Virtual reality (VR) technology has greatly expanded its role in education. It provides immersive experiences that enhance learning across various disciplines. Understanding the role of emotions in technology-based learning environments is crucial for improving educational outcomes. This study aimed to explore how VR environments evoke university…
Descriptors: Computer Simulation, Technology Uses in Education, Emotional Response, Undergraduate Students
Björn Haßler; Bethany Huntington; Christopher Klune; Jennie Lester; Aditi Bhutoria; Hassan Mansour – Education Endowment Foundation, 2025
The EdTech sector has seen rapid growth in the past decade, further catalysed by the Covid-19 pandemic that required many teachers and schools to turn to technology-based solutions to support learning over periods of school closures (Karboul, 2020). Since the 2020s, over two-thirds of schools in England have increased their use of technology,…
Descriptors: Technology Uses in Education, Educational Technology, Technology Integration, Intervention
Liqaa Habeb Al-Obaydi; Marcel Pikhart; Md Kamal Hossain – Contemporary Educational Technology, 2025
Chatbots with artificial intelligence (AI) capabilities, such as ChatGPT, are an important tool for language learning because they provide an interactive and adaptive learning environment that can be adjusted to each learner's level of skill. This paper explores the application of ChatGPT, an advanced AI-powered chatbot, as a tool for language…
Descriptors: Artificial Intelligence, Computer Uses in Education, Language Skills, English (Second Language)
Unyaparn Sinlapaninman; Wannatida Yonwilad – Educational Process: International Journal, 2025
Background/purpose: This study addresses challenges in graduate research supervision by developing and evaluating an AI chatbot research coaching system designed through Design Thinking and Educational Design Research. The research aimed to examine system usability, perceived value, and alignment between user experiences and original design…
Descriptors: Foreign Countries, Graduate Study, Artificial Intelligence, Coaching (Performance)
Shilpi Taneja; Siddhartha Sankar Biswas; Bhavya Alankar; Harleen Kaur – Electronic Journal of e-Learning, 2025
This paper presents the design of a personalized learning agent powered by the Agentic RAG technique. The agent can interpret learners' queries and autonomously decide which tools should be used to generate the most suitable response. When the learner shares an Open Educational Resource (OER) they wish to learn from, the agent first breaks the…
Descriptors: Artificial Intelligence, Natural Language Processing, Open Educational Resources, Individualized Instruction
Militsa G. Ivanova; Hanna Eklöf; Michalis P. Michaelides – Journal of Applied Testing Technology, 2025
Digital administration of assessments allows for the collection of process data indices, such as response time, which can serve as indicators of rapid-guessing and examinee test-taking effort. Setting a time threshold is essential to distinguish effortful from effortless behavior using item response times. Threshold identification methods may…
Descriptors: Test Items, Computer Assisted Testing, Reaction Time, Achievement Tests
Benjamin Carcamo – Technology in Language Teaching & Learning, 2025
Multimodality is an important component of the English as a Foreign Language (EFL) classroom. Among its myriad elements, one that has not been addressed in recent research is the importance of engaging in the creation of multimodal texts in EFL classes. This study investigates how adding lessons focused on the creation of multimodal texts in EFL…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Creative Activities
Lei Wu; Ying Ma – Early Child Development and Care, 2025
Augmented reality (AR) technology can enrich preschoolers' picture book reading experiences. This study examined differences in reading quality and comprehension between children using AR and traditional paper picture books. Ninety 5- to 6-year-old children from City S, with no prior AR exposure, were randomly assigned to an AR group or a paper…
Descriptors: Preschool Children, Picture Books, Computer Simulation, Printed Materials
Ferdi Çelik; Ceylan Yangin Ersanli – Journal of Computer Assisted Learning, 2025
Background: This mixed-method, controlled quasi-experimental study aimed to examine the effects of metaverse-based English as a foreign language (EFL) instruction on high school students' listening skills and self-determination levels. The lessons, which were designed based on social constructivist theory, were implemented for a total of 8 weeks…
Descriptors: Second Language Learning, English (Second Language), Listening Skills, Self Determination
Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen
Brayan Diaz; Cesar Delgado; John Bacher; Collin Lynch; Kevin Han – International Journal of STEM Education, 2025
Background: Policy documents call for supporting STEM students in developing collaborative abilities for working in multidisciplinary teams. Courses with intra- and inter-group collaboration are therefore essential to prepare STEM students to participate in modern multidisciplinary professional environments. To analyze those courses, this paper…
Descriptors: Graduate Students, Cooperation, Teamwork, Computer Mediated Communication
Sarah J. Wallace; Zheng Yen Ng; Bridget Burton; Megan Isaacs; Ryan Deslandes; Gopal Sinh; Kim Barron; Phill Jamieson; Kirstine A. Shrubsole; David A. Copland; Janet Wiles; Victoria J. Palmer; Pippa Evans; Kyla Hudson; Anthony J. Angwin; Annie J. Hill; Barbra H. B. Timmer; Matthew J. Gullo; Jessica H. Campbell; Peter Worthy – International Journal of Language & Communication Disorders, 2025
Background: Speech and language therapy for post-stroke aphasia (language/communication impairment) improves language and communication in the short-term; however, access to therapy is limited, and effects are not always maintained. Mobile Health (mHealth) applications may support long-term therapy access and maintenance of gains. We present a…
Descriptors: Neurological Impairments, Aphasia, Rehabilitation, Speech Therapy
Xian Shang – European Journal of Education, 2025
Artificial intelligence (AI) technologies have been increasingly recognised for their transformative potential in education. However, limited research has examined the emotional and behavioural impacts of AI-powered robots on students. To bridge this gap, the present study explored whether instruction supported by AI-powered robots enhances…
Descriptors: Artificial Intelligence, Technology Uses in Education, Robotics, Learner Engagement
