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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Yeh, Ju-Hsuan; Wu, Hsiao-Ling – Journal of Service-Learning in Higher Education, 2023
The study aims to analyze the implementation of incorporating E-baby care in the servicelearning courses of colleges through the context of family education. The study applies qualitative research qualitative content analysis and interview and participant observation, supplemented by 260 questionnaire surveys, Structural Equation Model (SEM), and…
Descriptors: Family Life Education, College Students, Educational Technology, Child Rearing
Liangyong Xue; Abdullah Mat Rashid; Sha Ouyang – SAGE Open, 2024
This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys…
Descriptors: Research Reports, Technology Uses in Education, Structural Equation Models, Foreign Countries
Rahman, Shahedur; Ramakrishnan, Thiagarajan; Ngamassi, Louis – Higher Education Quarterly, 2020
Social media has transformed the communication landscape for institutions of Higher Education by providing improved teaching and learning experience. However, very little is known as to whether the use of social media by Higher Education students improves their satisfaction. Grounded in social media, risk and technology acceptance literature, this…
Descriptors: Social Media, Student Attitudes, College Students, Structural Equation Models
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
Eksail, Fuad Ali Ahmed; Afari, Ernest – Education and Information Technologies, 2020
It is becoming necessary for trainee teachers to willingly accept technology as a tool for learning, effective teaching and assessment. The aim of this study is to measure trainee teachers' perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, attitude towards technology use and behavioural intention to use…
Descriptors: Technology Integration, Teaching Methods, Foreign Countries, Preservice Teachers
Qiu, Chun-an; He, Hui-xian; Chen, Guo-li; Xiong, Min-xuan – Education and Information Technologies, 2022
There is an urgent need to address the critical demand for qualified Chinese language teachers against the background of China's seeking greater Sino--foreign cultural and educational cooperation. The literature on integrating technological pedagogical content knowledge (TPACK) in language teaching has been increasing in the last few years.…
Descriptors: Preservice Teachers, Student Attitudes, Technological Literacy, Pedagogical Content Knowledge
Guo, Qing; Qiao, CuiLan; Ibrahim, Bashirah – Journal of Science Education and Technology, 2022
Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…
Descriptors: Correlation, Scientific Literacy, Information Technology, Personal Autonomy
Abdul Rabu, Siti Nazleen; Hussin, Haniza; Bervell, Brandford – Education and Information Technologies, 2019
The integration of Quick Response (QR) codes in classrooms have been identified as an important tool in promoting active as well as distributed learning, especially in higher education. Even though the versatility of this technology within the educational milieu cannot be over-emphasized, the initial perceptions of students who are at the centre…
Descriptors: Coding, Technology Uses in Education, Higher Education, Technology Integration
Do Knowledge Acquisition and Knowledge Sharing Really Affect E-Learning Adoption? An Empirical Study
Al-Emran, Mostafa; Teo, Timothy – Education and Information Technologies, 2020
Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…
Descriptors: Electronic Learning, Educational Technology, Information Technology, Technology Integration
Wang, Qiong; Zhao, Guoqing – British Journal of Educational Technology, 2021
A thorough understanding of how "ICT support" provided by teacher preparation programmes influences preservice teachers' "technological pedagogical content knowledge" (TPACK) has become increasingly essential. This study aimed at exploring the mediating role of "ICT perception," "perceived ICT competence"…
Descriptors: Self Efficacy, Information Technology, Technological Literacy, Pedagogical Content Knowledge
Baydas, Ozlem; Yilmaz, Rabia M. – British Journal of Educational Technology, 2018
This study proposes a model for determining preservice teachers' intentions to adopt mobile learning from a motivational perspective. Data were collected from 276 preservice teachers and analyzed by structural equation modeling. A model capable of explaining 87% of the variance in preservice teachers' intention to adopt mobile learning was…
Descriptors: Preservice Teachers, Student Attitudes, Intention, Telecommunications
Maheshwari, Greeni – Education and Information Technologies, 2021
Educational institutions worldwide had to shift the teaching delivery mode from face to face to online teaching during COVID-19. Most of the universities in Vietnam were based on face to face learning until the sudden outbreak of COVID-19. This research study was conducted with 145 respondents and Structural Equation Model (SEM) was used for data…
Descriptors: Foreign Countries, Online Courses, Student Attitudes, Intention
Al-Azawei, Ahmed – Journal of Information Technology Education: Research, 2019
Aim/Purpose: This research investigates the success variables affecting the adoption of social networking sites (SNS), namely Facebook, and learning management systems (LMS), specifically Moodle, in developing countries. Background: In contemporary education, universities invest heavily in the integration of LMS with traditional classrooms.…
Descriptors: Social Networks, Social Media, Management Systems, Undergraduate Students
Inayati, Dian; Emaliana, Ive – Dinamika Ilmu, 2017
This paper elucidates the relationship among pre-service teachers' beliefs about language learning, pedagogical beliefs, and beliefs about ICT Integration through survey methodology. This study employed a quantitative approach, particularly a correlational relationship to investigate the relationships among beliefs about language learning,…
Descriptors: Correlation, Preservice Teachers, Language Teachers, Student Attitudes