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Sha Tian; Wenjiao Yang – Education and Information Technologies, 2024
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…
Descriptors: Translation, Educational Technology, Technology Integration, Technology Uses in Education
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Altinpulluk, Hakan; Kilinc, Hakan; Alptekin, Gokhan; Yildirim, Yusuf; Yumurtaci, Onur – Open Praxis, 2023
The aim of this study was to determine the relationship between the intrinsic motivation levels and self-directed learning levels of learners within a massive open online course environment. In addition, the relationship between these variables and the technology competences/average daily use times of technology were also studied. This study was…
Descriptors: MOOCs, Independent Study, Student Motivation, Correlation
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María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Bervell, Brandford; Kumar, Jeya Amantha; Arkorful, Valentina; Agyapong, Emmanuel Manu; Osman, Sharifah – Australasian Journal of Educational Technology, 2022
Online learning environments have become a contemporary component of global tertiary education due to their affordances. These environments are hinged on internet-based learning management systems and one such tool is Google Classroom. However, empirical studies have indicated that gaps exist in determining how Google Classroom influences…
Descriptors: Virtual Classrooms, Educational Technology, Electronic Learning, Intention
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Chen, Ying-Chih; Terada, Takeshi; Aguirre-Mendez, Claudia – Reading and Writing: An Interdisciplinary Journal, 2023
Non-science majors often lack motivation to take science courses required for their graduation, because these courses are usually taught in a lecture format and are disconnected from their everyday life and needs related to future careers. This two-phase action research, utilizing argumentative writing (AW) supported with online simulation, was…
Descriptors: Science Education, Nonmajors, Persuasive Discourse, Writing (Composition)
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Hsu, Liwei – Computer Assisted Language Learning, 2023
The Language Massive Open Online Courses (LMOOCs) is a new platform of computer assisted language learning (CALL); since most LMOOCs witness high dropout rates, empirical evidence on English as a Foreign Language (EFL) learners' motivation to accept and utilize LMOOCs for English language learning is warranted. This study recruited 237 Taiwanese…
Descriptors: English (Second Language), Second Language Learning, Self Determination, MOOCs
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Karaoglan Yilmaz, Fatma Gizem – Technology, Pedagogy and Education, 2022
The purpose of this study is to examine the effect of student satisfaction on students' engagement and motivation in a mobile-based flipped classroom. A total of 222 university students taking the Computing I course designed as a mobile-based flipped classroom were recruited. Data were collected through three self-report instruments: the…
Descriptors: Flipped Classroom, Learner Engagement, Student Motivation, Student Satisfaction
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Çevik, Mustafa; Bakioglu, Büsra – Education and Information Technologies, 2022
With the COVID-19 pandemic affecting the world, the vast majority of students in various educational institutions around the world have changed their learning styles from the physical classroom to digital learning education. Especially the fact that university students take their lessons with e-learning in times of crisis (COVID-19 pandemic) has…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
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Alowayr, Ali – International Journal of Information and Learning Technology, 2022
Purpose: Although several different learning technologies have been integrated into the face-to-face (F2F) learning approach, the effective implementation of mobile learning (m-learning) is still at an early stage. This may be due to the lack of understanding factors that affect learners' acceptance of m-learning. Design/methodology/approach:…
Descriptors: Foreign Countries, Educational Technology, Telecommunications, Handheld Devices
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Zhang, Yining; Lin, Chin-Hsi – British Journal of Educational Technology, 2020
Motivation is a key factor in predicting K-12 students' online learning success. Drawing on self-determination theory, this study used a person-centered approach to identify the motivational profiles of students taking online high school language courses, and to examine such profiles' relationships to their learning outcomes, genders and reasons…
Descriptors: Student Motivation, Online Courses, High School Students, Second Language Instruction
Seckman, David – ProQuest LLC, 2019
Mobile technology is a tool learners rely on. The purpose of this study was to determine if mobile technology use moderates the relationship between intrinsic motivation and grades. Findings show that students with higher intrinsic motivation will have higher grades regardless of whether or not they use technology frequently for their course and…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
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Durak, Hatice Yildiz – Journal of Educational Computing Research, 2020
The objective of this study is to construct a model which explains and predicts the relations of university students' cyberloafing behaviors with demographic and academic variables at computing courses where online social networking sites are utilized for education and is to review whether there is longitudinal effect on these relations in terms…
Descriptors: Educational Technology, Technology Uses in Education, Social Media, Student Behavior
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Lebenicnik, Maja; Istenic Starcic, Andreja – British Journal of Educational Technology, 2020
The contemporary digital divide is characterised by the uneven distribution of access to information communication technology (ICT), originating in the different motivation, physical access and skills of users. We synthesised existing theories and frameworks to develop and then empirically validate a theoretical model to predict university…
Descriptors: College Students, Special Needs Students, Access to Computers, Educational Technology
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Lei, Jun; Lin, Teng – International Review of Research in Open and Distributed Learning, 2022
This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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Coelho Junior, Francisco Antonio; Botelho, Erica de Aguiar; Rego, Mariana Carolina Barbosa; Faiad, Cristiane; Ramos, Wilsa Maria – Turkish Online Journal of Distance Education, 2019
The purpose of this study was twofold. First, it aimed to determine whether there are differences in Brazilian students' attitudes towards online learning compared to their purpose in seeking for this modality and the localization of the pole where they received face-to-face support. Second, it aimed to identify if Brazilian students' attitudes…
Descriptors: Foreign Countries, Student Attitudes, Online Courses, Self Concept
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