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Rian Vebrianto; Yovita; Muhammad Yusriadi; Silvina Efendi – Journal of Education and Learning (EduLearn), 2025
Learning loss can be characterized by several things such as a lack of student interest in learning where students are not focused and easily lazy in learning. This learning loss will get worse if the material presented in the lesson is abstract in nature and cannot be seen in real terms by students. With the use of a hologram projector, this…
Descriptors: Elementary School Students, Technology Uses in Education, Foreign Countries, Instructional Effectiveness
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Shaorong Ji; Nur Azlina Mohamed Mokmin; Jiawei Wang – British Journal of Special Education, 2025
Over the past few decades, virtual reality (VR) has attracted significant academic interest due to its potential to transform traditional educational experiences into highly engaging and interactive environments. VR technology, with its immersive learning capabilities, has been rigorously tested and developed in STEM education and other…
Descriptors: Literature Reviews, Computer Simulation, Dyslexia, Students with Disabilities
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Christian Byrne – Journal of Chemical Education, 2025
The Instrumental Analytical Chemistry course, taught in the fifth semester across several programs at the Faculty of Exact Sciences of the National University of La Plata, places a significant emphasis on high-performance liquid chromatography (HPLC). This versatile analytical technique is essential for the separation, identification, and…
Descriptors: Chemistry, Science Instruction, Foreign Countries, Scientific Concepts
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Marc Beardsley; Patricia Santos; Ishari Amarasinghe; Emily Theophilou; Milica Vujovic; Davinia Hernández-Leo – Innovations in Education and Teaching International, 2025
The rapid development of Generative AI (GenAI) tools presents challenges for their ethical and responsible use. This pilot study examines student learning agreements as a governance tool for GenAI use in a first-year engineering course. These agreements included ethical and social considerations that students accepted if they chose to use GenAI.…
Descriptors: Foreign Countries, Universities, Engineering, College Freshmen
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Yuchen Pan; Yiqi Song; Ying Zhang; Dandan Liang – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study explores the characteristics and development of unmarked and marked focus comprehension in school-age Mandarin-speaking children with cochlear implants (CIs). Method: The subjects included 17 children with CIs aged 6-8 years and 34 aged 9-12 years, age- and gender-matched children with typical development (TD), and 30 hearing…
Descriptors: Mandarin Chinese, Children, Assistive Technology, Hard of Hearing
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Michael W. Kessinger, Editor; Gera S. Nelson, Editor; Lesia Lennex, Editor; Kimberely Fletcher Nettleton, Editor – IGI Global, 2025
The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…
Descriptors: Artificial Intelligence, Educational Change, Technology Integration, Educational Policy
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Margaret Cychosz; Jan R. Edwards; Benjamin Munson; Rachel Romeo; Jessica Kosie; Rochelle S. Newman – Journal of Child Language, 2025
Children who receive cochlear implants develop spoken language on a protracted timescale. The home environment facilitates speech-language development, yet it is relatively unknown how the environment differs between children with cochlear implants and typical hearing. We matched eighteen preschoolers with implants (31-65 months) to two groups of…
Descriptors: Child Language, Preschool Children, Assistive Technology, Language Acquisition
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Areti Okalidou; Veroniki-Erasmia Kalomenidou; Maria Oktapoti; Georgios Kyriafinis – Journal of Psycholinguistic Research, 2025
Sonority and its language-universal sonority-sequencing principle (SSP) define an important dimension of phonological grammar which aids in the segmentation of words into syllables (Clements in Pap Lab Phonol 1:283-333, 1990). Studies have yielded contradictory findings on sonority and SSP phonotactics in lexical perception of speech by children…
Descriptors: Young Children, Hard of Hearing, Assistive Technology, Phonology
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C. Alonso-Campuzano; F. Filosofi; A. Tardivo; A. Pasqualotto; N. Sosa-Gonzalez; P. Venuti; G. Iandolo – Psychology in the Schools, 2025
This study explores the benefits of collaborative storytelling practices on verbal fluency, narrative competence, collaboration, and inclusion in primary school. One hundred and seventy Spanish primary school students participated in storytelling activities using a quasi-experimental, mixed-method, and cross-sectional design. Individual verbal…
Descriptors: Story Telling, Elementary School Students, Cooperation, Inclusion
Chelsea Davis-Bibb – Practitioner to Practitioner, 2025
How can students use AI as a tool to assist them in the learning process? More importantly, how are students using AI and how is it impacting their learning? The purpose of this research study was to explore and understand the perceptions of students' experiences with AI tools and how it has impacted their learning experience. As AI continues to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Community College Students, Student Attitudes
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Afza Diyana Abdullah; Xiaoting Qiu; Huan Li; Muhammad Kamarul Kabilan – Reading Research Quarterly, 2025
Academic reading, a cornerstone of postgraduate education, often presents challenges, particularly for non-native English speakers. These include complex texts, extensive vocabulary, and integrating diverse sources. This study investigates the potential of ChatGPT as an academic reading tool for postgraduate students, emphasizing its usability,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Graduate Students
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Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
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Zhigao Liang – Intervention in School and Clinic, 2025
Video-enhanced activity schedule (VidAS) embeds a video model within a visual schedule, then links the images in the visual schedule to a video model clip, completing the step represented in each image. VidAS could leverage the strength of standard visual schedules and offer learners on the autism spectrum extra support to illustrate a sequence of…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Video Technology, Time Management
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Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
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Yanyan Du – International Journal of Information and Communication Technology Education, 2025
Facing the urgent need for personalized and real-time interaction in music education, this study constructed an artificial intelligence-assisted interactive platform that offers targeted support in pitch recognition, rhythm training, and classroom feedback. Through function planning and algorithm optimization, it enables diversified…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Music Techniques
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