Development and Validation of the Artificial Intelligence Learning Intention Scale (AILIS) for University Students
As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation of a scale called the Artificial Intelligence Learning Inten...
Main Authors: | Ching Sing Chai, Ding Yu, Ronnel B. King, Ying Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2024-04-01
|
Series: | SAGE Open |
Online Access: | https://doi.org/10.1177/21582440241242188 |
Similar Items
-
University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs
by: Faming Wang, et al.
Published: (2023-08-01) -
An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence
by: Ching Sing Chai, et al.
Published: (2020-11-01) -
In memoriam AILI KOGERMAN 3.2.1933–31.12.2023; pp. 74–75
by: Andres Siirde
Published: (2024-02-01) -
Development and validation of a scale for dependence on artificial intelligence in university students
by: Wilter C. Morales-García, et al.
Published: (2024-03-01) -
Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students
by: Rita Roy, et al.
Published: (2022-01-01)