Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
Descriptor
| College Students | 2 |
| Computer Literacy | 2 |
| Usability | 2 |
| Artificial Intelligence | 1 |
| COVID-19 | 1 |
| Distance Education | 1 |
| Electronic Learning | 1 |
| Employment Potential | 1 |
| Fear | 1 |
| Foreign Countries | 1 |
| In Person Learning | 1 |
| More ▼ | |
Author
| Elaine Ah-heung Chan | 1 |
| Helen Shun-mun Wong | 1 |
| Jason K. Y. Chan | 1 |
| Jie Liu | 1 |
| Jinfa Liu | 1 |
| Tai Ming Wut | 1 |
| Weixin Qi | 1 |
| Yawen Yu | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Hong Kong | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
Weixin Qi; Yawen Yu; Jie Liu; Jinfa Liu – Education and Information Technologies, 2025
In the wake of the COVID-19 pandemic, the demand for online learning has surged, driving rapid developments in online education. This technological advancement aligns with the global push to achieve the United Nations Sustainable Development Agenda for 2030. Despite extensive research on online learning efficacy, there is a gap in understanding…
Descriptors: College Students, COVID-19, Pandemics, In Person Learning
