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Imogen Casebourne – British Journal of Educational Technology, 2024
This study investigated the seamless mobile learning practices of UK government workers at various life stages, to understand how context impacted decisions about how, when and where learning was undertaken. Following Hedegaard, the context was understood as involving settings embedded within institutions. Drawing on analysis of data from public…
Descriptors: Foreign Countries, Government Employees, Workplace Learning, Handheld Devices
Jennifer Lynn Bowman – ProQuest LLC, 2024
This study examines Arkansas early childhood practitioners' propensity for self-directed learning when using mobile phones to participate in self-paced online professional development. Further, the activity system model provides context for understanding practitioners' willingness to use technology, like smartphones, to adopt new information when…
Descriptors: Handheld Devices, Telecommunications, Independent Study, Electronic Learning
Competency Levels and Influential Factors of College Students' Mobile Learning Readiness in Thailand
Diteeyont, Watsatree; Heng-Yu, Ku – Smart Learning Environments, 2023
One of the key successes of learning through mobile technology comes from the competencies of learners. This study aimed to investigate the overall competency levels of mobile learning readiness and four influential factors (connectivist learners, technology readiness, self-directed learning, and netiquette) that may impact college students'…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Readiness
Nehir Yasan-Ak; Soner Yildirim – Technology, Knowledge and Learning, 2024
Mobile phones have become essential learning tools with their extensive features and functionalities, contributing to the emergence of mobile learning. These devices enable communication and collaboration both inside and outside the classrooms while also aiding in information seeking, collection, and content generation. Yet, the use of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Undergraduate Students
Xiao Xu – Discover Education, 2025
A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
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
Suresh Gautam; Indra Mani Rai – Adult Learning, 2025
Based on observations of a rural community and in-depth interviews with five rural women, this paper shows how access to smartphones enables marginalised rural women to engage in digital literacies in their everyday life practices. The research shows that rural women learn digital skills, communication skills, and literacies in an unplanned and…
Descriptors: Telecommunications, Handheld Devices, Rural Areas, Females
Lai, Yuzhi; Saab, Nadira; Admiraal, Wilfried – Education and Information Technologies, 2022
Language learners in higher education increasingly use out-of-class self-directed learning facilitated by mobile technology. In order to make informed educational decisions, this study sets out to provide an overview of empirical research into learning strategies that self-directed learners use with the support of mobile technology in language…
Descriptors: Learning Strategies, Independent Study, Second Language Learning, Higher Education
Samia Drissi; Aida Chefrour; Karima Boussaha; Hafed Zarzour – Education and Information Technologies, 2024
In this research, a GAmified Mobile Leaning Framework (GAMOLEAF) developed as a new intelligent application designed for mobile devices to ensure learning, assessing, and advancing learners' knowledge in programming complex data structures in Java programming language. GAMOLEAF adopted motivational strategies to solve motivational problems during…
Descriptors: Gamification, Handheld Devices, Telecommunications, Technology Uses in Education
Min Zhang; Qiang Jiang; Weiyan Xiong; Qi Li; Wei Zhao – Educational Technology & Society, 2024
Self-directed learning with mobile technology (SDLMT) is critical to students' learning success. However, only minimal research has been conducted on the manner by which significant aspects (e.g., selfefficacy, student engagement) are related to SDLMT. This study analyzed the answers of 485 Chinese students (seventh to ninth grades) who were…
Descriptors: Self Efficacy, Predictor Variables, Secondary School Students, Independent Study
Liu, Yan; Deng, Lisa; Lin, Lin; Gu, Xiaoqing – Interactive Learning Environments, 2023
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…
Descriptors: Independent Study, Student Behavior, Behavior Patterns, Time on Task
Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using M-Learning
Jorge Rodríguez-Arce; Esteban Vázquez-Cano; Juan Pablo Cobá Juárez-Pegueros; Salvador González-García – SAGE Open, 2023
Previous works reveal that there is potential in the use of mobile devices as a useful tool to help learn new vocabulary and it allows the learning materials can be displayed with different Learning Content Representation (LCR) types. Nevertheless, there are no conclusive results about which LCR type is better to improve L2 vocabulary acquisition…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Vocabulary Development
Hyun-Bin Hwang; Shawn Loewen – English Teaching, 2025
This study explored how teachers could provide support to enhance students' out-ofclass mobile-assisted language learning (MALL) engagement. We interviewed five Korean English teachers who used "Class Card," a focal technology of this study, for their students' self-directed vocabulary learning. Additionally, students of the interviewed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Handheld Devices
Kamrozzaman, Nurul Aisyah; Badusah, Jamaludin; Ruzanna, Wan Muna – Education and Information Technologies, 2020
Lifelong education is increasingly popular among Malaysians in accordance with the formation of a stable economy. The need for education is no longer limited, and this education has given equal opportunities to all citizens, especially to the working class. Therefore, this study is to identify the elements of need that the educational student…
Descriptors: Foreign Countries, Lifelong Learning, Independent Study, Electronic Learning