Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Barriers | 3 |
College Faculty | 3 |
Familiarity | 3 |
Foreign Countries | 3 |
Teacher Attitudes | 3 |
Technology Integration | 3 |
Universities | 3 |
Artificial Intelligence | 2 |
Computer Software | 2 |
Leadership Role | 2 |
Teaching Methods | 2 |
More ▼ |
Author
Alhussain, Thamer | 1 |
Alsadoon, Hamadah | 1 |
Anurag Jain | 1 |
Avinash Rana | 1 |
Deeksha Sharma | 1 |
Monica Vimbai Chatikobo | 1 |
Notice Pasipamire | 1 |
Vishal Soodan | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
India | 1 |
Saudi Arabia | 1 |
Zimbabwe | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Monica Vimbai Chatikobo; Notice Pasipamire – Cogent Education, 2024
The rapid developments in technology and the rise of artificial intelligence (AI) have prompted a need for librarians to revamp their information literacy services. This article evaluates the potential for integrating AI into information literacy (IL) instruction at Bindura University of Science Education Library (BUSEL) by employing the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Alsadoon, Hamadah; Alhussain, Thamer – Education and Information Technologies, 2019
This study aims to examine the possibility of implementing the Augmented Reality (AR) application in higher education by answering three questions: Which extended faculty at the Saudi Electronic University are familiar with such applications, what the perceptions do they hold toward using it in education, and what barriers do they believe may…
Descriptors: Universities, Teaching Methods, Computer Simulation, Technical Support
Vishal Soodan; Avinash Rana; Anurag Jain; Deeksha Sharma – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…
Descriptors: Artificial Intelligence, Social Networks, College Faculty, Computer Software