Publication Date
| In 2026 | 0 |
| Since 2025 | 6 |
| Since 2022 (last 5 years) | 29 |
| Since 2017 (last 10 years) | 46 |
| Since 2007 (last 20 years) | 55 |
Descriptor
| Expectation | 55 |
| Intention | 55 |
| Performance | 55 |
| Social Influences | 41 |
| Foreign Countries | 40 |
| Technology Uses in Education | 35 |
| Educational Technology | 23 |
| Student Attitudes | 21 |
| College Students | 17 |
| Influences | 13 |
| Technology Integration | 13 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 49 |
| Reports - Research | 49 |
| Dissertations/Theses -… | 4 |
| Tests/Questionnaires | 3 |
| Information Analyses | 2 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 40 |
| Postsecondary Education | 38 |
| Elementary Education | 4 |
| High Schools | 2 |
| Secondary Education | 2 |
Audience
Location
| China | 7 |
| Ghana | 6 |
| Malaysia | 4 |
| Saudi Arabia | 3 |
| Taiwan | 3 |
| Indonesia | 2 |
| South Africa | 2 |
| Alabama | 1 |
| Bangladesh | 1 |
| Barbados | 1 |
| Cyprus | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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
Sultan Hammad Alshammari; Muna Eid Alrashidi – International Journal of Information and Communication Technology Education, 2024
The metaverse is a mixed blend of digital and tangible worlds, indicating the future directions of Internet sector development. This study aimed to assess the factors affecting students' intentions to use a metaverse platform. The unified theory of acceptance and use of technology was applied as the research model. Data were collected using a…
Descriptors: Intention, Computer Simulation, Student Attitudes, Foreign Countries
Godawa Pathiranage Suresh Nalaka; Damith Lahiru Ranagala; Gamage Rajitha Niromi Gunarathne; Matibambiye Dhammasiri; Imbule Gamaralalage Nirosha Prabashini – Anatolian Journal of Education, 2023
Many higher educational institutes adopted digital tools to facilitate teaching and learning activities online due to COVID-19 pandemic. Among them, university academics had to rely on Zoom Meetings for teaching even if Zoom is generally used as a virtual communication tool. In order to identify future developments in implementing online education…
Descriptors: Foreign Countries, Videoconferencing, Educational Technology, Social Influences
Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
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
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
Jinhai Liu; Qin Dai; Jihe Chen – Education and Information Technologies, 2025
Technology integration into education is a significant development that has facilitated using digital resources in teaching mathematical culture (TMC). Despite the potential benefits, there are currently limited reports on factors influencing teachers' use of these resources for instructional purposes. Therefore, this study aims to determine the…
Descriptors: Educational Technology, Technology Uses in Education, Pedagogical Content Knowledge, Technological Literacy
Mavis S. B. Mensah; Keren N. A. Arthur; Enoch Mensah-Williams – E-Learning and Digital Media, 2024
This study examines the factors that influence the intention and actual use of e-learning in entrepreneurship education by undergraduate students. The paper relies on a predictive study design and the partial least squares structural equation modelling to analyse data from a cluster sample of 599 students from the University of Cape Coast, Ghana.…
Descriptors: Entrepreneurship, Undergraduate Students, Electronic Learning, Foreign Countries
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
Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis – Technology, Knowledge and Learning, 2023
Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…
Descriptors: Higher Education, Intention, Predictor Variables, Blended Learning
Majuddin, Christye; Khambari, Mas Nida Md.; Wong, Su Luan; Ghazali, Norliza; Norowi, Noris Mohd. – Contemporary Educational Technology, 2022
While educators worldwide are moving towards the universal design for learning, it is also essential to ensure learners are suitably assessed. Assessments and learning profoundly reciprocate one another as assessment may inform the learning practices, and vice versa. Resonating the aforesaid view, PutraPacer was developed as a customizable tool to…
Descriptors: Undergraduate Students, Student Attitudes, Individualized Instruction, Alternative Assessment
Anna Flavia Di Natale; Sabrina Bartolotta; Andrea Gaggioli; Giuseppe Riva; Daniela Villani – Education and Information Technologies, 2024
Immersive virtual reality (IVR) and Metaverse applications are gaining attention in the educational field, showing potentials in transforming traditional learning methods by supporting active and experiential forms of learning. Our study, conducted within the context of an Italian university course, employs the Extended Expectation-Confirmation…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, College Students
Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
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

Peer reviewed
Direct link
