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Download full textSimon Kormla Donkor; Charles Domfeh – African Educational Research Journal, 2025
This study investigates the prevalence, physical complaints, and impacts of heavy backpack use among junior high school students, with a focus on understanding how the weight and design of backpacks affect students' physical well-being and academic efficiency. The study was underpinned by the ergonomic theory. Using a descriptive survey design,…
Descriptors: Foreign Countries, Junior High School Students, Human Posture, Pain
Direct linkJon-Philippe K. Hyatt; Elisa Jayne Bienenstock; Carla M. Firetto; Elizabeth R. Woods; Robert C. Comus – Advances in Physiology Education, 2025
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable from human-derived work. Instructors must rely on intuition/experience and, recently, assistance from…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Writing Skills
Muhammad Safuan Abdul Latip; Siti Nur Nadhirah Abdul Latip; Masliana Tamrin; Faizatul Akmal Rahim – Journal of Applied Research in Higher Education, 2025
Purpose: The study aims to explore factors that influence students' academic performance in the context of physical ergonomics and assess the mediating effect of motivation between lighting, noise, temperature, chair design and students' performance from the student's perspective. Design/methodology/approach: The research was categorised as a…
Descriptors: Foreign Countries, College Students, Human Factors Engineering, Lighting
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
David Van Nguyen; Shayan Doroudi; Daniel A. Epstein – Community College Journal of Research and Practice, 2025
Our preliminary experiment examined a potential pain point with ASSIST, California's database of articulation agreements. That pain point is cross-referencing multiple articulation agreements to manually develop an "optimal" academic plan. Optimal is defined as the minimal set of community college courses that satisfy all transfer…
Descriptors: Articulation (Education), Human Factors Engineering, Algorithms, Educational Planning
Tim Schlak; Alexis Smith Macklin – New Review of Academic Librarianship, 2025
The scholarly communication landscape has experienced significant evolution in the past several years with the advent of transformative agreements. The largest library systems and academic library consortia have made substantial progress in this time by using their scale and publishing output to effect meaningful changes in their access and…
Descriptors: Academic Libraries, Communities of Practice, Human Factors Engineering, Access to Information
Kathleen J. Kennedy; Jill M. Castek – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Empowerment, Elementary Secondary Education
