Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 7 |
Descriptor
| Artificial Intelligence | 7 |
| Computer Attitudes | 7 |
| Gender Differences | 7 |
| Student Attitudes | 5 |
| Foreign Countries | 4 |
| Technology Uses in Education | 4 |
| College Students | 3 |
| Computer Mediated… | 2 |
| Curriculum Development | 2 |
| Educational Research | 2 |
| Elementary School Students | 2 |
| More ▼ | |
Source
| Education and Information… | 4 |
| Human Communication Research | 1 |
| International Association for… | 1 |
| Journal of Educational… | 1 |
Author
| Ahmet Uyar | 1 |
| Baptista Nunes, Miguel, Ed. | 1 |
| Burcu Karafil | 1 |
| Chao Qin | 1 |
| Cuixin Li | 1 |
| Dawn Branley-Bell | 1 |
| Elizabeth Sillence | 1 |
| Gong, Li | 1 |
| Jie Xu | 1 |
| Liang Zhou | 1 |
| Lihui Sun | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Collected Works - Proceedings | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 6 |
| Elementary Education | 2 |
| Middle Schools | 2 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Jie Xu; Yan Li; Rustam Shadiev; Cuixin Li – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) is steadily gaining prominence in higher education and brings about huge impact on college students' daily life. However, limited studies paid attention to college students' use behavior of generative AI and its influencing factors. The study aimed to explore this issue by adopting an extended Unified Theory…
Descriptors: College Students, Technology Uses in Education, Artificial Intelligence, Intention
Richard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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
Burcu Karafil; Ahmet Uyar – Education and Information Technologies, 2025
This study investigates the knowledge, attitudes, and practices (KAP) of Chat Generative Pre-Trained Transformer (ChatGPT) among academics working in the field of educational science in Türkiye. Employing a mixed-methods research design, the study aimed to explore both quantitative and qualitative aspects of academics' interactions with ChatGPT.…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Computer Attitudes
Gong, Li; Nass, Clifford – Human Communication Research, 2007
Computer-generated anthropomorphic characters are a growing type of communicator that is deployed in digital communication environments. An essential theoretical question is how people identify humanlike but clearly artificial, hence humanoid, entities in comparison to natural human ones. This identity categorization inquiry was approached under…
Descriptors: Negative Attitudes, Artificial Intelligence, Computer Mediated Communication, Gender Differences
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Descriptors: Conference Papers, Electronic Learning, Educational Technology, Technology Uses in Education

Peer reviewed
Direct link
