Publication Date
In 2025 | 6 |
Since 2024 | 14 |
Since 2021 (last 5 years) | 20 |
Since 2016 (last 10 years) | 36 |
Since 2006 (last 20 years) | 91 |
Descriptor
Computer Attitudes | 122 |
Student Attitudes | 122 |
Technology Integration | 122 |
Foreign Countries | 72 |
Educational Technology | 62 |
Computer Uses in Education | 48 |
Technology Uses in Education | 35 |
Teacher Attitudes | 32 |
Preservice Teachers | 29 |
Student Surveys | 26 |
College Students | 22 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Teachers | 2 |
Practitioners | 1 |
Location
Turkey | 8 |
Australia | 5 |
Canada | 4 |
Singapore | 4 |
China | 3 |
Indonesia | 3 |
Nigeria | 3 |
South Korea | 3 |
United Kingdom | 3 |
Colombia | 2 |
Germany | 2 |
More ▼ |
Laws, Policies, & Programs
Equal Access | 1 |
Assessments and Surveys
Computer Anxiety Scale | 1 |
Computer Attitude Scale | 1 |
Learning Style Inventory | 1 |
Stages of Concern… | 1 |
What Works Clearinghouse Rating
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
Devender Rapolu – ProQuest LLC, 2024
As the number and complexity of instructional tools have increased, universities have rapidly adapted to ensure their students have the necessary tools and resources for academic success (Rafi et al., 2014; Rafi et al., 2020). One of these adaptations has been the creation of virtual learning platforms using Virtual Reality (VR) technology. This…
Descriptors: Undergraduate Students, Black Colleges, Computer Simulation, STEM Education
Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Bardakci, Salih; Kocadag Ünver, Tugba – Education and Information Technologies, 2020
Many factors might influence the current place and the role of information and communication technologies (ICTs) in social quarters, including education. One such factor might become one's conceptions of technology. From this point of view, the purpose of this study is to examine preservice ICT teachers' technology metaphors by linking to concepts…
Descriptors: Preservice Teachers, Information Technology, Computer Attitudes, Student Attitudes
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
Muhammad Farrukh Shahzad; Shuo Xu; Muhammad Asif – British Educational Research Journal, 2025
The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. The use of GAI technologies in various fields, including education, has accelerated as technology develops. The widely used language model ChatGPT, developed by OpenAI, has become progressively more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computer 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
Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
Handan Ürek – Journal of Science Education and Technology, 2024
Science education at different levels can be supported by various mobile applications that can be downloaded for free onto mobile phones, tablets, and other devices. Such applications can also be used in laboratory work, but it must be said that their use in science laboratories is a relatively new approach. This study is aimed at determining the…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Handheld Devices
Mohamad Arief Rafsanjani; Albrian Fiky Prakoso; Eka Indah Nurlaili; Riza Yonisa Kurniawan; Wida Wulandari – Journal on Efficiency and Responsibility in Education and Science, 2023
As a developing country, Indonesia faces many obstacles in implementing online learning due to the lack of infrastructure and technical skills. The mandated online learning policy during the spread of the COVID-19 virus became a turning point and made massive use. However, the online learning policy raised unforeseen issues such as stress,…
Descriptors: COVID-19, Pandemics, Foreign Countries, Developing Nations
Ragad M. Tawafak; Waleed Mugahed Al-Rahmi; Abdulrahman Alshimai; Ibrahim Yaussef Alyoussef; Ayad Aldaijy – Contemporary Educational Technology, 2025
The importance of gameplay extends beyond mere entertainment, playing a crucial role in shaping behavioral intentions (BIs) in various contexts. This research aims to discover how digital gameplay influences students' BIs, mainly in the context of technology adoption in education. The main objective is to investigate the impact of digital gameplay…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Computer Games
Pamela Córdova; Alberto Grájeda; Juan Pablo Córdova; Alejandro Vargas-Sánchez; Johnny Burgos; Alberto Sanjinés – Cogent Education, 2024
This study explored the integration of Artificial Intelligence (AI) tools in finance education, focusing on student perceptions, emotional reactions, and educator experiences. Quantitative data were gathered using the Synthetic Index of Use of AI Tools (SIUAIT) instrument, administered over three semesters. The findings revealed that finance…
Descriptors: Undergraduate Students, Financial Education, Artificial Intelligence, College Faculty
Chao Qin; Mengli Zhang; Zhixin Li; Luxin Chen – Education and Information Technologies, 2025
Artificial intelligence (AI) is being deeply integrated into human society. In the future, human collaboration with AI is inevitable. Therefore, exploring the attitudes of future workers--represented by current K-12 children--towards AI has become crucial. Robots stand as typical representatives of AI. Robot programming education is an important…
Descriptors: Foreign Countries, Rural Schools, Elementary School Students, Grade 6