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Sayim Aktay; Seckin Gok; Aytug Yildirim – International Technology and Education Journal, 2024
The aim of this study is to develop a reliable and valid scale to determine individuals' attitudes toward artificial intelligence. The study was conducted during the spring semester of 2024 with the participation of pre-service teachers studying at the Faculty of Education at Mugla Sitki Koçman University in Turkey. A total of 410 pre-service…
Descriptors: Artificial Intelligence, Attitude Measures, Educational Benefits, Goodness of Fit
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Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
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Yi Zheng; Yabing Wang; Kelly Shu-Xia Liu; Michael Yi-Chao Jiang – Education and Information Technologies, 2024
Grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study investigates the interplay between key UTAUT2 constructs and motivation modeled by Self-Determination Theory (SDT) in shaping English as a Foreign Language (EFL) learners' behavioral intention and actual use of generative AI tools. Accordingly, three research…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
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Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
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Wu, Ting-Fang; Chen, Cheng-Ming; Lo, Hui-Shan; Yeh, Yao-Ming; Chen, Ming-Chung – Educational Technology & Society, 2018
The purpose of this study was to develop an explanatory model for the information and communication technology (ICT) competencies of students with and without learning disabilities (LD). A conceptual model was proposed, and included five major constructs: (1) attitude towards using ICT, (2) ICT competency, (3) demographic characteristics, (4) ICT…
Descriptors: Learning Disabilities, Technological Literacy, Information Technology, Elementary School Students
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Huang, T. K. – Interactive Learning Environments, 2018
The study makes use of the photo-hosting site, namely Flickr, for students to upload screenshots to demonstrate computer software problems and troubleshooting software. By creating non-text stickers and text-based annotations above the screenshots, students are able to help one another to diagnose and solve problems with greater certainty. In…
Descriptors: Educational Technology, Technology Uses in Education, Resistance (Psychology), Technology Integration
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Savi Çakar, Firdevs; Tagay, Özlem – Educational Sciences: Theory and Practice, 2017
This research is a descriptive study based on the testing of a structural model developed by considering the effects of perceived social support and subjective well-being on adolescents' risky behaviors, and the possible mediating role of self-esteem. Participants consisted of 676 high school students attending formal education institutions,…
Descriptors: Self Esteem, Social Support Groups, Risk, Health Behavior
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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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Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
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Shittu, Ahmed Tajudeen; Basha, Kamal Madarsha; AbdulRahman, Nik Suryani Nik; Ahmad, Tunku Badariah Tunku – Multicultural Education & Technology Journal, 2011
Purpose: Social software usage is growing at an exponential rate among the present generation of students. Yet, there is paucity of empirical study to understand the determinant of its use in the present setting of this study. This study, therefore, seeks to investigate factors that predict students' attitudes and intentions to use this…
Descriptors: Student Attitudes, Prediction, Internet, Foreign Countries