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Casey J. Metoyer; Katherine Sullivan; Lee J. Winchester; Mark T. Richardson; Michael R. Esco; Michael V. Fedewa – Measurement in Physical Education and Exercise Science, 2025
Relative adiposity (%Fat) was measured using a smartphone-based application in a convenience sample of adults aged 20-52 years (n = 32, 68.7% female, 84.3% White/Caucasian, 26.7 ± 3.5 kg/m2) across different body positions (Anterior versus Posterior) on consecutive days (Day 1 versus Day 2). A reference photo was obtained from the posterior view…
Descriptors: Adults, Body Composition, Handheld Devices, Computer Assisted Instruction
Caitlin K. Kirby; Imari Cheyne Tetu; Casey Henley – Journal of Educational Technology Systems, 2025
A recent increase in blended course options has changed the landscape of higher education, necessitating revisions of prior categorization of blended online and in-person course models. Building on the Mixed Instructional eXperience (MIX) taxonomy using current literature and course models, we developed three key parameters for defining course…
Descriptors: Blended Learning, Electronic Learning, Undergraduate Study, Undergraduate Students
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development
Keren Dalyot; Ayelet Baram-Tsabari – International Journal of Science Education, Part B: Communication and Public Engagement, 2025
In the recent decade, the proliferation of ICTs that require Wi-Fi routers in schools has been accompanied by public concerns about risks fueled in many cases by media reporting. The current study examines ways in which parents of school-age children perceive the issue of Wi-Fi radiation in schools by using a science literacy framework that…
Descriptors: Decision Making, Science and Society, Abstract Reasoning, Thinking Skills
H. Gilbert; M. Schürmann; M. Liebendörfer; D. Lawson; M. Hodds – International Journal of Mathematical Education in Science and Technology, 2025
Mathematics and statistics support (MSS) plays an important role at many universities. Typically, support has been provided in person, but during the COVID-19 pandemic, online provision was required. This paper reports on a scoping study comparing how support services changed during the pandemic at institutions in Germany and Great Britain &…
Descriptors: COVID-19, Pandemics, Foreign Countries, College Mathematics
Ali Sharaf Al Musawi; Asma Al Suhi; Zainab Al Mamari – Contemporary Educational Technology, 2025
Virtual reality (VR) has fundamentally changed how students interact with their subjects and learn because it offers an immersive learning environment. This qualitative study aims at exploring Omani English as a foreign language (EFL) teachers' perceptions of using VR. It employed semi-structured interviews with 20 schoolteachers working in…
Descriptors: Language Teachers, Teacher Attitudes, Second Language Instruction, English (Second Language)
Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
Sarah Fakroune; Stephan Van den Broucke – Journal of American College Health, 2025
Objectives: This study investigated if unhealthy sleeping habits of university students can be explained by the Theory of Planned Behavior. Method: An online questionnaire was administered to 1006 undergraduate students at a Belgian university to measure their frequency of irregular sleeping times, daytime napping, and pre-bedtime alcohol or…
Descriptors: Foreign Countries, Sleep, Health Behavior, Undergraduate Students
Emrah Gulboy; Hicran Denizli-Gulboy – Journal of Special Education, 2025
Augmented reality (AR) provides students with visual, auditory, and concrete learning understandings that facilitate their understanding of abstract concepts, leading to positive experiences in the learning process. Positive experiences increase students' motivation and interest in learning. This study examined the effects of using AR technology…
Descriptors: Computer Simulation, Technology Uses in Education, Science Education, Scientific Concepts
Venla Hakala; Laura Mielityinen; Kirsi Peltonen; Taina Laajasalo; Noora Ellonen – Youth & Society, 2025
Armed conflicts violate young people's rights by exposing them to violence and trauma, disrupting their sense of safety. This study examines how Russia's war against Ukraine affects Ukrainian adolescents' lives. The study utilizes data from Let's Chat, a free, low-threshold support service for Ukrainian-speaking children and youths. We analyzed…
Descriptors: Foreign Countries, War, Trauma, Violence
Lama Bergstrand Othman – Journal of Educational Research and Practice, 2025
Research has established that the proper use of technology in the classroom can promote and improve students' skill levels and knowledge base. Also, certain factors either enhance or impede the successful integration of technology in students' learning environments. Examples of these are efficiency of use, subject area, and teacher knowledge of…
Descriptors: Technology Uses in Education, Educational Technology, Literacy Education, Teacher Role
Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Ali Ardalan – Decision Sciences Journal of Innovative Education, 2025
In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…
Descriptors: Models, Data Analysis, Visualization, Statistics Education

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