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Allison Master; Taylor Alexander; Jennifer Thompson; Weihua Fan; Andrew N. Meltzoff; Sapna Cheryan – Journal of Research on Technology in Education, 2025
Motivating girls to enroll in computer science (CS) courses is critically important. Stereotypes that girls are less interested than boys in CS may deter girls. Three preregistered experimental studies (N = 1,053) examined causal links between gender-interest stereotypes and middle school students' CS motivation. Experiment 1 showed that…
Descriptors: Females, Womens Education, Middle School Students, Computer Science Education
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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Gediminas Merkys; Sigitas Vaitkevicius; Daiva Bubeliene; Vaino Brazdeikis – Informatics in Education, 2025
The paper presents graduates results in computer science testing according to their dependence from students' gender, family socioeconomic status, and the type of prosperity of the locality of the school in Lithuania. It was found that the gender of the graduate does not affect the results in computer science test. However, the girls who chooses…
Descriptors: Foreign Countries, Computer Science Education, Gender Differences, Socioeconomic Status
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Mirjam Paales; Karin Täht – IEEE Transactions on Education, 2025
Contribution: This study enhances the understanding of the factors that impact academic performance and self-efficacy among computer science (CS) students, specifically focusing on gender differences. Background: The motivation behind this study stems from the gender disparity observed within undergraduate CS programs. This gender gap undermines…
Descriptors: Females, Womens Education, Gender Differences, Undergraduate Students
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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
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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
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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
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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
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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
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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
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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)
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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
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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
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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
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