An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence

Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model perspective

(2020) Hai Min Dai et al.   COMPUTERS & EDUCATION

Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age

(2020) Yun Dai et al.   Sustainability

Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM)

(2019) Hamaad Rafique et al.   COMPUTERS & EDUCATION

Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach

(2019) Vo Ngoc Hoi   COMPUTERS & EDUCATION

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

(2018) Luciano Floridi et al.   MINDS AND MACHINES

AI Anxiety

(2017) Deborah G. Johnson et al.   Journal of the Association for Information Science and Technology

Closing the gender gap in an introductory programming course

(2015) Miguel Angel Rubio et al.   COMPUTERS & EDUCATION

Understanding the effect of e-learning on individual performance: The role of digital literacy

(2015) Soheila Mohammadyari et al.   COMPUTERS & EDUCATION

Structural equation models and the quantification of behavior

(2011) K. A. Bollen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Technology literacy: the extension of cognition

(2010) David Richard Moore   INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION

Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

(2009) Ming-Chi Lee   COMPUTERS & EDUCATION

Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system

(2007) Shu-Sheng Liaw   COMPUTERS & EDUCATION