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Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
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Robin Samuelsson – Journal of Mixed Methods Research, 2025
Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…
Descriptors: Video Technology, Data Collection, Child Behavior, Interaction
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Tristan H. S. de Jonge; Timo Kegelaar; Fabiola Figueroa Esquivel – Journal of Computer Assisted Learning, 2025
Background: Learner-generated digital media has gained significant attention as a supplementary learning tool. However, a need exists for empirical research to discern among various learner-generated digital media formats. One potential area of divergence lies in the arousal levels evoked during media creation due to varying emphasis on the…
Descriptors: Student Projects, Multimedia Materials, Nonverbal Communication, Comparative Analysis
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Fang-Ying Yang; Yuan-Li Liu; Shih-Chieh Chien; Yi-Wen Hung – Educational Technology & Society, 2025
In this study, an interactive science learning app on the topic of plate tectonics was developed for tablets to promote argumentative reasoning. The app guided learners through learning stages that required them to propose arguments, identify relevant evidence, acquire background knowledge, and engage in argumentative reasoning in different…
Descriptors: Abstract Reasoning, Persuasive Discourse, Visual Perception, Attention
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Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
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Julio Antonio Álvarez Martínez; Juan Fernando Gómez; Juan Carlos Restrepo Botero – Knowledge Management & E-Learning, 2025
The aim of this review is to provide a synthesis of empirical evidence regarding the utilization and influence of Mobile-Assisted Language Learning (MALL) in teaching and learning of English as a Foreign Language (EFL) within higher education establishments. The results show the considerable potential of MALL in enhancing various facets of…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Telecommunications
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Eunhye Flavin; Moon Chung; Sunghwan Hwang; Matthew T. Flavin – Educational Technology Research and Development, 2025
Area measurement is a foundational component across STEM fields. The area formula offers limited insight for children trying to develop their area measurement reasoning skills, particularly when dealing with composite shapes. Spatial structuring, where children explore structural units of a 2D space, is an alternative approach. However, poor…
Descriptors: STEM Education, Geometric Concepts, Thinking Skills, Computer Simulation
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Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
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Julia Milner; Sharleen L. O'Reilly – Innovations in Education and Teaching International, 2025
We explored the usage of smartphones in university classrooms across three different countries from the instructor's perspective. Using a qualitative, cross-cultural approach, we interviewed 30 instructors via semi-structured interviews to understand their viewpoints and experience with student smartphone usage in class. Instructors reported…
Descriptors: Teacher Attitudes, Critical Thinking, Telecommunications, Handheld Devices
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Reyhan Yildirim; Mükerrem Yilmaz – Turkish Online Journal of Educational Technology - TOJET, 2025
This study aims to examine in detail the impact of smartphone use on university students' academic processes. As the role of technology in education continues to grow, smartphones have become an integral part of students' daily lives. Therefore, understanding the effects of these devices on academic performance, time management, and study habits…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Learning Processes
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Remo Fernández-Carro; José Miguel Vílchez-González; José Eduardo Vílchez; Ángel Ezquerra – International Journal of Science Education, Part B: Communication and Public Engagement, 2025
A survey was conducted to investigate how samples of 452 pre-service teachers from 5 Spanish universities seek information on science and technology using informal resources, particularly the Internet. Findings reveal that pre-service teachers exhibit information-seeking patterns similar to their age group in the wider population, predominantly…
Descriptors: Preservice Teachers, Teacher Education Programs, Information Seeking, Internet
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Qing Zhou; Harwati Hashim; Nur Ainil Sulaiman – Education and Information Technologies, 2025
Amid globalization, the demand for English oral proficiency continues to grow. This study employs a quasi-experimental design to investigate the integration of an AI chatbot into the mobile-assisted blended learning (MABL) framework. It examines the impact of this approach on the spoken English abilities of Chinese non-English major university…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Parmin; Erna Noor Savitri; Yahya Nur Ifriza – South African Journal of Education, 2025
With the research reported here, we specifically aim to develop application products of scientific work independence instruments through science integrated learning (SIL) for various education levels (elementary schools, junior high schools, senior high schools, and universities). The SIL model was applied in learning to determine specific…
Descriptors: Elementary School Students, Secondary School Students, College Students, Student Development