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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
Tori K. Flint; Marietta S. Adams – Early Childhood Education Journal, 2024
In order to create and foster learning spaces that build upon children's knowledge and experiences, we must respect and value their ways of knowing and being, including their play. Accordingly, this study highlights the ways that young children (re)imagined spaces, materials, and identities through their digital play in an analog (containing no…
Descriptors: Preschool Children, Play, Imagination, Learning Processes
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
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Lee, Seungyeon; McDonough, Ian M.; Mendoza, Jessica S.; Brasfield, Mikenzi B.; Enam, Tasnuva; Reynolds, Catherine; Pody, Benjamin C. – Applied Cognitive Psychology, 2021
Students' cellphone use has been related to poorer learning, possibly due to greater distraction. This study investigated whether cellphone-related anxiety, addiction, and disconnection were related to distraction and learning as well as how practical educational policies could minimize negative effects. Participants (N = 218) watched a video…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Attention
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
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
Eksail, Fuad Ali Ahmed – Turkish Online Journal of Educational Technology - TOJET, 2023
Many studies have been conducted to investigate the effect of using smartphones in the teaching and learning process. The purpose of the present study was to identify the factor structure and the psychometric properties of a smartphone questionnaire. The questionnaire was translated into Arabic and administered to 203 students at a university in…
Descriptors: College Students, Foreign Countries, Handheld Devices, Psychometrics
Kaysi, Feyzi – Interactive Learning Environments, 2023
With the rising influence of technology, students have become heavy users of instant messaging applications. It makes one wonder about students' motivations in using these applications and their usage habits. The aims of this study were to analyze the messaging activities of university students in blended classroom groups, to investigate the…
Descriptors: College Students, Synchronous Communication, Handheld Devices, Student Behavior
Shamsul Arrieya Ariffin – International Association for Development of the Information Society, 2023
This study investigated the students' experience and impact of using Science, Technology, Engineering, and Mathematics (STEM) related subjects for mobile learning or mLearning. In this study, mobile learning student-generated activities (SGA) focused on Malaysian universities as a developing country. The study approach was a qualitative case study…
Descriptors: Foreign Countries, College Students, STEM Education, Electronic Learning
Linda Castañeda; Victoria I. Marín; Daniel Villar-Onrubia – Educational Technology Research and Development, 2024
Technology-mediated interactions and datafication are increasingly central in contemporary social dynamics and institutions, including teaching and learning processes. In order to fully understand the complex entanglements of human and non-human actants that emerge in postdigital education, it is essential to imagine new methodological approaches…
Descriptors: Learning Activities, Topology, Learning Processes, Technology Uses in Education
Hendra Hidayat; Dani Harmanto; Mohd Rizal Mohd Isa; Jem Cloyd M. Tanucan; Ahmad Istiqlal Ahlunnazak; Ifdil Ifdil; Zadrian Ardi – Journal of Social Studies Education Research, 2024
This study explores eight key themes: Self-control, personalized learning, smartphone habits, future-time perspective, information overload, digital literacy, meaningful learning, and metacognitive awareness. The primary objective is to investigate the correlations among these factors. Virtual presence serves as a moderating variable, influencing…
Descriptors: Metacognition, Engineering Education, Learning Processes, Telecommunications
Gang Liu – ProQuest LLC, 2021
Digital phenotyping is defined as the "moment-by-moment quantification of the individual level human phenotype in situ using data from personal digital devices". The passive data collected by smartphone devices, including GPS, accelerometer and communication logs, can provide insights on users' behaviors that could be related to various…
Descriptors: Learning Processes, Health Behavior, Handheld Devices, Telecommunications
Marilyn Campbell; Elizabeth J. Edwards; Donna Pennell; Shiralee Poed; Victoria Lister; Jenna Gillett-Swan; Adrian Kelly; Dajana Zec; Thuy-Anh Nguyen – Journal of Psychologists and Counsellors in Schools, 2024
Public opinions are divided on the relative benefits versus harms of allowing mobile phones in schools. When debating the consequences of mobile phones in schools, politicians often argue that students' use of mobile phones distract from their learning, increase cyberbullying and lead to poor mental health outcomes. We conducted a scoping review…
Descriptors: Telecommunications, Handheld Devices, School Policy, Student Rights
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