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Laurie O. Campbell; Caitlin Frawley – Educational Technology Research and Development, 2024
Higher education faculty members incorporate technologies into their teaching and learning practices in higher education for the benefit of their learners. Hence, general technologies, such as presentation software, online classrooms, and learning management systems are ubiquitous in higher education teaching practices. However, emerging…
Descriptors: College Faculty, Intention, Technology Integration, Educational Technology
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Leroy, Anaïs; Romero, Margarida – Educational Technology Research and Development, 2022
When participants engage twice in the same creative problem-solving task with educational robots, they have the possibility to repeat the same solution, allowing them to complete the task faster, or to show a creative intention and behavior, engaging them in developing a new solution. In this study, we aim to analyze the creative process…
Descriptors: Intention, Persistence, Robotics, Educational Technology
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Di Wu; Xinyan Zhang; Kaili Wang; Longkai Wu; Wei Yang – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of…
Descriptors: Teacher Behavior, Intention, Technology Uses in Education, Educational Technology
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Xu, Jianzhong – Educational Technology Research and Development, 2022
The aim of our investigation is to identify teacher motivation profiles towards information technology, according to achievement goal and expectancy-value theories. Latent profile analysis (LPA) was applied to examine if homogenous latent profiles exist within a sample of 866 teachers in China. Four distinct profiles of teachers were identified:…
Descriptors: Teacher Motivation, Educational Technology, Technology Uses in Education, Goal Orientation
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Foulger, Teresa S.; Buss, Ray R.; Su, Man – Educational Technology Research and Development, 2021
Prior to this study, a testable model for the influence of contextual knowledge (XK) on teacher candidates' intention to integrate technology into classroom instruction had not been established. We applied the Decomposed Theory of Planned Behavior (DTPB) to aid us in this effort. Our work (a) provided a theoretical conceptualization for factors of…
Descriptors: Preservice Teachers, Intention, Technology Integration, Educational Technology
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Islamoglu, Hakan; Kabakci Yurdakul, Isil; Ursavas, Omer Faruk – Educational Technology Research and Development, 2021
The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we…
Descriptors: Preservice Teachers, Preservice Teacher Education, Educational Technology, Technology Uses in Education
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Huang, Fang; Teo, Timothy – Educational Technology Research and Development, 2020
This study aimed to investigate the influences of organisational culture and teachers' perception of the importance of policy on teachers' technology acceptance in China. A total of 502 teachers from 30 Chinese universities filled in the questionnaire designed for the cross-sectional study, which measured teachers' perceptions of the…
Descriptors: Foreign Countries, School Culture, School Policy, Teacher Attitudes
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Huang, Fang; Sánchez-Prieto, José Carlos; Teo, Timothy; García-Peñalvo, Francisco J.; Sánchez, Eva María Torrecilla; Zhao, Chen – Educational Technology Research and Development, 2020
As an emerging learning method, mobile technologies allow students to gain knowledge via both formal and informal learning. In spite of the advantages mobile technologies bring to education, its adoption for learning purposes has not been encouraging. Existing research on mobile learning acceptance has been mainly focused on technological and use…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
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Huang, Fang; Teo, Timothy; Zhou, Mingming – Educational Technology Research and Development, 2020
This large-scale study used the extended technology acceptance model to examine the different factors influencing Chinese university students' intentions to use the Internet-based technology with a learning focus. Specifically, the subject norm was conceptualised as a three-dimensional construct consisting of teacher influence, peer influence and…
Descriptors: Foreign Countries, Educational Technology, College Students, Internet
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Cheng, Kun-Hung – Educational Technology Research and Development, 2019
Parents play an important role in students' informal learning with technology; however, there is a lack of relevant research, particularly regarding parents' opinions on students' learning with emerging technology such as augmented reality (AR). This study was therefore conducted in an initial attempt to explore parents' user experience (UX) of…
Descriptors: Parent Role, Educational Technology, Technology Uses in Education, Parent Attitudes
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Zhu, Yue; Zhang, Jia Hua; Au, Wing; Yates, Greg – Educational Technology Research and Development, 2020
Studies have been conducted on university students' continuous intention to learn online from the perspectives of learning motivation and capability, perceptions or attitudes, and online learning experiences. However, few have examined how the above factors will relate to each other and contribute to students' online learning intention. This…
Descriptors: College Students, Student Attitudes, Online Courses, Blended Learning
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Tang, Kai-Yu; Hsiao, Chun-Hua; Tu, Yun-Fang; Hwang, Gwo-Jen; Wang, Youmei – Educational Technology Research and Development, 2021
The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Telecommunications
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Zhao, Shu; Kinshuk; Yao, Ying; Ya, Nan – Educational Technology Research and Development, 2021
Mobile social media are increasingly being used in education. They provide an effective way to address the imbalance between teaching supply and demand for older adults. However, few studies have investigated which factors contribute to older adults' intention to use mobile social media for learning. This study uses a sequential explanatory mixed…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
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Sun, Yanyan; Gao, Fei – Educational Technology Research and Development, 2020
This study examines the relationships among intrinsic motivation, critical variables related to technology adoption, and students' behavioral intention in mobile-assisted language learning (MALL). To test the hypothesized model through a path analysis, 169 survey responses were collected from undergraduate students who were foreign language…
Descriptors: Student Motivation, Educational Technology, Technology Uses in Education, Intention
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Hwang, Wu-Yuin; Zhao, Lixinin; Shadiev, Rustam; Lin, Li-Kai; Shih, Timothy K.; Chen, Hong-Ren – Educational Technology Research and Development, 2020
In this study, we designed geometry learning activities so that students could apply newly learned knowledge to solve real-life problems, such as estimating the distance to real objects they find in their local community, measuring objects' length, width, and height, and calculating objects' surface area. Our participating students were divided…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Conventional Instruction
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