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Amin Khalifeh; Mohammad Hamdi Al Khasawneh; Mohammad Alrousan; Ahmad Samed Al-Adwan; Firas Wahsheh; Fandi Yousef Omeish; Husam Ananzeh – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research aims to empirically investigate and answer the following research questions: Do students' self-control and smartphone e-learning readiness influence smartphone-cyberloafing, and does gender play a role in this relationship? Background: Research indicates that many students' learning time is wasted due to cyberloafing,…
Descriptors: Foreign Countries, Student Behavior, Self Control, Telecommunications
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Murat Cinar; Omer Demir; Sinan Keskin – Turkish Online Journal of Distance Education, 2024
Examination of the personal characteristics (i.e., gender, participation styles) of participants and the technical infrastructure (i.e., device type, internet connection type) of Instructional Discussion Forums (IDFs) can provide functional clues for mitigating social anxiety in these settings. In this context, this research investigated variances…
Descriptors: Individual Characteristics, Gender Differences, Anxiety, College Freshmen
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Verónica Marín Díaz; Begoña Esther Sampedro; Inmaculada Aznar; Juan Manuel Trujillo – Education & Training, 2023
Purpose: The beliefs about this subject of N = 223 secondary education teachers were collected through an ex post facto research method using a descriptive and correlational design and a 27-item questionnaire. Design/methodology/approach: The arrival of online learning, in this case m-learning, to secondary education, has made educators in this…
Descriptors: Computer Simulation, Technology Integration, Handheld Devices, Secondary School Teachers
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Izkair, Ayad Shihan; Lakulu, Muhammad Modi – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention…
Descriptors: Electronic Learning, Foreign Countries, Higher Education, Gender Differences
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Lai, Horng-Ji – Interactive Learning Environments, 2020
Mobile devices, such as smartphones and tablets, have been widely adopted by older adults and have been shown to have a great influence on their daily lives. This study examined the use of mobile computing devices for learning among older adults, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The objectives of this study…
Descriptors: Older Adults, Handheld Devices, Electronic Learning, Technology Uses in Education
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Bright Samohembo; Som Pal Baliyan – Journal of Education and e-Learning Research, 2024
This quantitative study identified challenges undergraduates faced in Botswana and predicted their readiness for online learning during COVID-19. A descriptive and correlational survey research design was adopted using the Technology Acceptance Model (TAM). A questionnaire was constructed for data collection from a randomly sampled 75 agriculture…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Readiness
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Monzon, Gloria; Alrmuny, Dalal; Ku, Heng-Yu – Quarterly Review of Distance Education, 2021
The purpose of this study was to investigate 69 college students' attitudes toward the Recap app as part of their online language learning process. The Recap app is a free language learning application that uses student-created videos to facilitate language practice and interaction among students. Using a 13-item attitude survey to measure…
Descriptors: Student Attitudes, Educational Technology, Handheld Devices, Video Technology
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Can, Tuncer; Kucuk, Sevda; Simsek, Irfan – International Journal of Technology in Teaching and Learning, 2020
The aim of this study is to examine K12 students' preferences and attitudes on mobile learning. In this study, causal-comparative method was used. The sample of the study were 236 students (127 females, 109 males) at K12 level. The students are enrolled in primary (n=104), secondary (n=77), and high school (n=55) levels. The data in the study were…
Descriptors: Elementary School Students, Middle School Students, High School Students, Electronic Learning
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Thamarasseri, Ismail; Jose, Febin – Journal of Educational Technology, 2023
The influence of 4th generation broadband cellular network technology on education is explored in this paper. With the widespread use of smartphones and tablets, students are increasingly using mobile devices to access learning resources, communicate with peers, and complete assignments. The advent of 4G technology has had a revolutionary impact…
Descriptors: Technology Uses in Education, Educational Technology, Internet, Telecommunications
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Pratama, Ahmad R. – Education and Information Technologies, 2021
As mobile devices become more ubiquitous, the benefits of mobile learning (m-learning) can be a great opportunity for educating a vast populace, especially in developing countries. Acceptance of m-learning by individuals is critical for these nations while aiming for a successful implementation of m-learning. A total of 1156 middle and high school…
Descriptors: Electronic Learning, Handheld Devices, Middle School Students, High School Students
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Elyakim, Nitzan; Reychav, Iris; Offir, Baruch; McHaney, Roger – Journal of Educational Computing Research, 2019
The current study demonstrates how blended learning using location-based mobile-learning experiences can be improved when student preparation is enhanced with techniques informed by the theory of Mediated Learning Experience (MLE). Our experiment used a sample of 216 junior-high students within the context of school field trips. Tablet computers…
Descriptors: Blended Learning, Handheld Devices, Junior High School Students, Field Trips
EdChoice, 2024
This poll was conducted between August 22-August 26, 2024 among a national sample of 1,002 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.1 percentage points. This…
Descriptors: Adolescents, Student Attitudes, Gender Differences, Age Differences
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Ibili, Emin – International Online Journal of Education and Teaching, 2020
In this study, the e-readiness levels of university students studying in the field of health sciences were examined in terms of different variables. In this context, whether the level of e-readiness differs according to gender, department, class level, type of education, device ownership, working status and economic level has been examined. In…
Descriptors: Health Education, College Students, Learning Readiness, Electronic Learning
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Razzaque, Anjum – SAGE Open, 2020
The education sector is transforming from e-learning to m-learning due to its motivation capabilities that drive students toward self-motivated learning. However, this requires online participation through quality knowledge sharing (KS) of the social capital (SC) of resources. Past-reported low student participation calls for confirming whether…
Descriptors: Electronic Learning, Handheld Devices, Social Capital, Student Motivation
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Yu, Zhonggen – International Journal of Distance Education Technologies, 2019
Studies on gender differences in mobile English learning are in their initial stages. College English IV, designed by a number of professors and engineers in a university in China, serves as a mobile English learning platform. This study aims to determine gender differences in cognitive loads, attitudes, and academic achievements in English…
Descriptors: Foreign Countries, Gender Differences, Cognitive Processes, Difficulty Level
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