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Maria Ijaz Baig; Elaheh Yadegaridehkordi – International Journal of Educational Technology in Higher Education, 2025
Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior and satisfaction of educators with GenAI systems are still less explored. Therefore, this study aims to identify factors influencing academic staff satisfaction and…
Descriptors: Influences, College Faculty, Satisfaction, Technology Uses in Education
Nurul Hafizul Mohamed; Abdul Halim Masnan; Lu Man Hong – Southeast Asia Early Childhood, 2024
Parental controls are a method of controlling who has access to smart devices because individuals may regulate who else in their family members, particularly younger ones, sees inappropriate websites. Indeed, parental control software provides the ability to select which applications are permitted on online devices, and it may also be used to see…
Descriptors: Foreign Countries, Parent Role, Computer Software, Parent Attitudes
Acceptance of Smart Teaching Tools and Its Influencing Factors Among University and College Teachers
Xiangping Cui; Zihao Zhang; Susan Zhang; Jun Shen; Wei Han; Hanqi Zhang – IEEE Transactions on Education, 2024
College teachers' acceptance of smart teaching tools affects whether they can make effective use of such tools while teaching, with the goal of materializing deep integration of technology and teaching activities. This article constructs a hypothetical model of college teachers' technology acceptance path for smart teaching tools based on the…
Descriptors: Educational Technology, Influences, College Faculty, Teacher Attitudes
Jian Dai; Xing Zhang; Chengliang Wang – Education and Information Technologies, 2024
The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…
Descriptors: Educational Technology, Technology Uses in Education, Intention, Online Courses
Hao Zheng; Feifei Han; Yi Huang; Yonghe Wu; Xinyi Wu – Education and Information Technologies, 2025
Amidst the COVID-19 pandemic, the e-learning demand among in tertiary education sector has surged, which has produced prolific research on factors influencing students' and faculties e-learning adoption. Anchored in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study employed a meta-analytic approach to…
Descriptors: Intention, Electronic Learning, Higher Education, COVID-19
Qianwen Song; Jiafeng Zhang; Hongsheng Wang; Zhan Zhang; Qing Zhou – Journal of Science Education and Technology, 2024
The multiple benefits of virtual experiments applied to science education depend heavily on science teachers' intentions to use them. The inducing mechanism is a process that combines different conditions of multiple factors. From the perspective of overall configuration, this study used the fuzzy-set qualitative comparative analysis (fsQCA)…
Descriptors: Foreign Countries, Science Teachers, Science Instruction, Science Experiments
Adrian Szilard Nagy; Johan Reineer Tumiwa; Fitty Valdi Arie; László Erdey – Cogent Education, 2024
Higher education has seen substantial changes with the growing integration of computer-based intelligence technologies into the learning process. Nevertheless, the acceptance of computer-based intelligence in advanced educational settings is still faced with various difficulties, including perceived dangers, implementation assumptions, and…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, Risk
Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
Emmanuel John Anagu; Oladunjoye John Abiodun; Felicia Cletus; Brown Ephraim – International Journal of Technology in Education and Science, 2024
Metaverse, an amalgamation of diverse information technologies, is seen as the future of the internet and holds promise for transforming education. Leveraging metaverse media for immersive learning has the potential to reshape education practices. Despite being a novel concept, metaverse-based education has the capacity to enrich online learning…
Descriptors: Computer Simulation, Foreign Countries, Universities, Student Attitudes
Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
McIntyre, Miranda M.; Medina, Pamela S.; Zhang, Jing; Ni, Anna – Education and Information Technologies, 2023
Online education options have expanded rapidly, yet empirical knowledge of students' adoption choices remains relatively limited. Within higher education, it is important for both instructors and administrators to understand what students value in online courses in order to provide a quality learning experience and manage enrollment demands. The…
Descriptors: Students, Intention, Online Courses, Course Selection (Students)
Madani, Haider; Adhikari, Ajay; Hodgdon, Christopher – Journal of International Education in Business, 2023
Purpose: This study aims to leverage the Unified Theory of Acceptance and Use of Technology framework developed by Venkatesh et al. (2003) to explore the factors influencing faculty willingness and acceptance of online teaching at a major Saudi Arabian university as we move to a post-COVID-19 new normal. Design/methodology/approach: We surveyed…
Descriptors: Foreign Countries, Teacher Attitudes, Online Courses, Educational Technology
Hieu Hoang Nguyen; Na Le Pham; Trang Thu Nguyen; Chau Minh Mai – Educational Process: International Journal, 2025
Background/purpose: The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers' intention to adopt ChatGPT in their work. Materials/methods: This study uses the Unified…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Zhu, Zhangxiang; Peng, Zihui; Yang, Kening – Education & Training, 2023
Purpose: This study explores the factors that promote university teachers' switching intention from a traditional classroom to a smart classroom based on the push-pull-mooring (PPM) framework to enrich the theoretical research on the smart classroom and provide a reference for smart classroom promotion. Design/methodology/approach: The proposed…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
Terblanche, Nicky; Kidd, Martin – SAGE Open, 2022
Chatbots are increasingly applied in various contexts including helping professions, such as organizational and life coaching. Coaching facilitates individual wellness, behavioral change, and goal attainment in a reflective, non-directive manner, and is considered one of the fastest-growing professions. The use of knowledge imparting service…
Descriptors: Educational Technology, Computer Software, Coaching (Performance), Age Differences