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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
Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
Ibrahim, Mohamed; Callaway, Rebecca – International Journal on E-Learning, 2022
This study investigates the implications of flipped teaching strategy on preservice teachers' self-efficacy and intention to integrate technology in future classroom. The researchers used the theory of planned behavior (TPB) as theoretical framework. Participants were 71 preservice teachers enrolled in graduate and undergraduate technology…
Descriptors: Flipped Classroom, Preservice Teachers, Self Efficacy, Intention
Pozas, Marcela; Letzel, Verena – Technology, Knowledge and Learning, 2023
Despite extensive efforts to support teachers with the integration of information and communication technologies (ICT) into their classroom practice, current research reports that teachers face immense challenges when integrating ICT into their teaching. This issue has become even more relevant with the rapid spread of the COVID-19 virus, forcing…
Descriptors: Technology Integration, Educational Technology, Barriers, Predictor Variables
Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
Kukul, Volkan – Technology, Knowledge and Learning, 2023
This study aims to investigate the relationships among training on technology integration, self-efficacy, and technology acceptance. In this sense, the two-phase study firstly validated an instrument and then, the relationships among the specified factors were tested through structural equation modeling. While 384 pre-service teachers participated…
Descriptors: Technology Integration, Preservice Teachers, Educational Technology, Preservice Teacher Education
Kuo, Yu-Chun; Kuo, Yu-Tung; Abi-El-Mona, Issam – Education and Information Technologies, 2023
This study investigated pre-service teachers' perceptions of using iPads in teaching, with a focus on motivation to adopt iPads, iPad-integration self-efficacy, and intention to adopt iPads for future teaching. Changes of pre-service teachers' perceptions of using iPads over time as well as the relationships of motivation, self-efficacy, and…
Descriptors: Telecommunications, Tablet Computers, Preservice Teachers, Student Attitudes
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
Isikli, Mesut; Sezer, Adem – Shanlax International Journal of Education, 2022
The aim of this study was to investigate pre-service social studies teachers' self-efficacy perceptions towards the integration of technology in education and their technology acceptance levels in terms of different variables (gender, grade, level of interest in technological innovations, training on the use of technology in education) and to…
Descriptors: Preservice Teachers, Social Studies, Technology Integration, Technology Uses in Education
Hakami, Tahani Ali; Al-Shargabi, Bassam; Sabri, Omar; Khan, Syed Md Faisal Ali – Journal of Educators Online, 2023
The information revolution has transformed higher education. After the COVID-19 pandemic, teachers and instructors were encouraged to improve technology-enhanced teaching methods. Furthermore, various factors influenced the adoption of internet and digital-based technologies as an aspect of teaching methodology, including its usefulness, ease of…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Electronic Learning
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
Gado, Sabrina; Kempen, Regina; Lingelbach, Katharina; Bipp, Tanja – Psychology Learning and Teaching, 2022
Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This…
Descriptors: Artificial Intelligence, Psychology, Student Attitudes, Value Judgment
Maryam Nasser AL-Nuaimi; Omar Said Al Sawafi; Sohail Iqbal Malik; Rana Saeed Al-Maroof – Interactive Learning Environments, 2024
Despite the disruptive effects of COVID-19 on higher education institutions, the pandemic has enforced the intensive and sustained integration of new digital technologies and platforms into Education, a case that has instigated new contexts for online learning research. A considerable proportion of empirical literature advocates that perceived…
Descriptors: Educational Technology, Technology Uses in Education, Learning Management Systems, Undergraduate Students
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
Yusop, Farrah Dina; Habibi, Akhmad; Razak, Rafiza Abdul – SAGE Open, 2021
The goals of the research were to inform whether the theory of planned behavior (TPB) is a valid model to explain Indonesian preservice teachers' (PSTs) use of information and communication technology (UICT) during teaching practices, to report best factor affecting PSTs' UICT during teaching practices, and to elaborate differences regarding UICT…
Descriptors: Preservice Teachers, Teaching Methods, Information Technology, Technology Integration