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Tugtekin, Ufuk – Journal of Educational Technology, 2022
The development of web-based technologies and mobile devices, as well as their widespread usage, create favorable conditions for cyberloafing behaviors, raising the effects of cyberloafing in educational settings. The current study, which examined the behavioral levels and reasons of cyberloafing committed by college students in lectures, as well…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Academic Ability
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Chen, Hsiu-Ju – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This study explores the associations between elementary school learners' m-learning and learner satisfactions based on the technology-mediated learning model. Background: M-learning (mobile learning) is emerging, but its role in elementary education still needs clarification. Methodology: Questionnaires were mailed to several…
Descriptors: Electronic Learning, Elementary Education, Elementary School Students, Student Satisfaction
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Raza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences
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Hao, Shuang; Dennen, Vanessa P.; Mei, Li – Educational Technology Research and Development, 2017
This study examines the factors that influence mobile learning adoption among Chinese university students. China's higher education market is large and mobile device ownership is considered a status symbol. Combined, these two factors suggest mobile learning could have a big impact in China. From the literature, we identified three major areas…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Technology Uses in Education
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Cheng, Kun-Hung – Australasian Journal of Educational Technology, 2017
Since augmented reality (AR) has been increasingly applied in education recently, the investigation of students' learning experiences with AR could be helpful for educators to implement AR learning. With a quantitative survey using three questionnaires, this study explored the relationships among 153 students' perceived cognitive load, motivation,…
Descriptors: Cognitive Processes, Difficulty Level, Learning Experience, Statistical Analysis
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Cacciamani, Stefano; Villani, Daniela; Bonanomi, Andrea; Carissoli, Claudia; Olivari, Maria Giulia; Morganti, Laura; Riva, Giuseppe; Confalonieri, Emanuela – Journal of Research on Technology in Education, 2018
To maximize the advantages of the tablet personal computer (TPC) at school, this technology needs to be accepted by students as new tool for learning. With reference to the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology, the aims of this study were (a) to analyze factors influencing high school students'…
Descriptors: Student Attitudes, Attitude Measures, Handheld Devices, Telecommunications
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Touati, Achraf; Baek, Youngkyun – Journal of Educational Computing Research, 2018
This study investigated students' perceptions of competence and enjoyment of a mobile game within the context of mobile game-based learning. The proposed model showed that perceived competence and game attitude were the main predictors of enjoyment, while no direct relationship was found between perceived competence and gaming achievement. The…
Descriptors: Student Attitudes, Competence, Self Concept, Educational Games
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Cho, Jaehee; Lee, H. Erin; Quinlan, Margaret – Journal of American College Health, 2017
Objective: Based on the technology acceptance model (TAM), we explored the nationally-bounded roles of four predictors (subjective norms, entertainment, recordability, and networkability) in determining the TAM variables of perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI) to use diet/fitness apps on…
Descriptors: Cross Cultural Studies, Telecommunications, Handheld Devices, College Students
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Ko, Linda K.; Turner-McGrievy, Gabrielle M.; Campbell, Marci K. – Health Education & Behavior, 2014
Podcasting is an emerging technology, and previous interventions have shown promising results using theory-based podcast for weight loss among overweight and obese individuals. This study investigated whether constructs of social cognitive theory and information processing theories (IPTs) mediate the effect of a podcast intervention on weight loss…
Descriptors: Cognitive Processes, Handheld Devices, Intervention, Health Education
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Park, Eunil; Kim, Ki Joon – Program: Electronic Library and Information Systems, 2013
Purpose: The aim of this paper is to propose an integrated path model in order to explore user acceptance of long-term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services. Design/methodology/approach: Online survey data collected from 1,344 users are analysed…
Descriptors: Telecommunications, Handheld Devices, Services, Path Analysis
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Chang, Yi Hsing; Liu, Jen-ch'iang – Turkish Online Journal of Educational Technology - TOJET, 2013
Since AR can display 3D materials and learner motivation is enhanced in a situated learning environment, this study explores the learning effectiveness of learners when combining AR technology and the situation learning theory. Based on the concept of embedding the characteristics of augmented reality and situated learning into a real situation to…
Descriptors: Electronic Learning, Computer Simulation, Blended Learning, Computer Attitudes
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Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology
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Chang, Chih-Kai; Hsu, Ching-Kun – Computer Assisted Language Learning, 2011
This research introduced mobile devices into an intensive reading course and allowed functions that are usually found only in the language laboratory to be easily and flexibly utilized in the general classroom. To enhance and improve the reading comprehension of English as a foreign language (EFL) readers, a computer-assisted-language-learning…
Descriptors: Reading Comprehension, Translation, Path Analysis, Language Laboratories