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Sandra Nilsson; Elisabet Östlund; Yvonne Thalén; Ulrika Löfkvist – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The Language ENvironment Analysis (LENA) is a technological tool designed for comprehensive recordings and automated analysis of young children's daily language and auditory environments. LENA recordings play a crucial role in both clinical interventions and research, offering insights into the amount of spoken language children are…
Descriptors: Foreign Countries, Family Environment, Toddlers, Oral Language
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Vijayalakshmi B.; Radha G.; Veni Krishna Bharathi A. – Journal of Educational Technology, 2025
Libraries are increasingly adopting information and communication technologies to enhance their services. To ensure all libraries can benefit, regardless of budget, this study highlights gLabel, a freely available open-source tool for barcode label development. The purpose of this paper is to promote gLabel for low-budget libraries by exploring…
Descriptors: Academic Libraries, Library Services, Cost Effectiveness, Automation
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Owen Henkel; Hannah Horne-Robinson; Libby Hills; Bill Roberts; Josh McGrane – International Journal of Artificial Intelligence in Education, 2025
This paper reports on a set of three recent experiments utilizing large-scale speech models to assess the oral reading fluency (ORF) of students in Ghana. While ORF is a well-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained rater, a process that is time-consuming and…
Descriptors: Foreign Countries, Oral Reading, Reading Fluency, Literacy
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Konstantinos Gavriil; Ioannis Giannikos – Education Policy Analysis Archives, 2025
This paper presents a model for automatically selecting and allocating secondary education teachers to schools while considering various factors such as the diversity of sections and lessons, school distances, teacher specializations, teaching workloads, and other constraints. This poses a complex challenge that educational authorities in…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Placement, Teacher Distribution
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Kudzayi Savious Tarisayi; Ronald Manhibi – Journal of Learning and Teaching in Digital Age, 2025
This paper critically examines the transformative potential of Artificial Intelligence (AI) in Zimbabwe's higher education system, focusing on how AI can enhance learning outcomes and optimize administrative processes. The study employs a qualitative research approach, gathering insights from key stakeholders in the educational sector to identify…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
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Niki Chatzipanagiotou; Anita Mirijamdotter; Christina Mörtberg – Learning Organization, 2025
Purpose: This paper aims to focus on academic library managers' learning practices in the context of cooperative work supported by computational artefacts. Academic library managers' everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts…
Descriptors: Foreign Countries, Research Libraries, Librarians, Cooperative Planning
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Bei Cai; Ziyu He; Hong Fu; Yang Zheng; Yanjie Song – IEEE Transactions on Learning Technologies, 2025
Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…
Descriptors: Undergraduate Students, Majors (Students), Writing (Composition), Writing Evaluation
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Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
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Gordon Matthew – Technology, Pedagogy and Education, 2025
In most universities in South Africa, English is still preferred as the medium of instruction. However, most schools in South Africa have adopted a home-language education approach. Those school students then have a lower English proficiency compared to other students from English schools. Providing these students with instructional assistance…
Descriptors: Eye Movements, Captions, English (Second Language), Second Language Learning