An Analysis of the Factors Affecting Intention to Use Artificial Intelligence Technology in Learning: A Case Study of Hanoi Students

  • Hien Le Dang National Economics University, Business School, Vietnam
Keywords: Artificial Intelligence, Usage Intention, Student Learning, TR, TAM, Vietnam.

Abstract

In light of several widely-adopted factors impacting the adoption of new technology, this study aims to determine college student’s intention to use artificial intelligence in their learning. The factors considered in this study include optimism, innovativeness, discomfort, perceived usefulness, and perceived ease of use. An online survey was conducted among students from eight universities in Hanoi, Vietnam, with a major in business and either currently studying or recently graduated. A total of 192 questionnaires were validated and analyzed, applying a regression analysis.  The results indicate that perceived ease of use and perceived usefulness significantly affect the usage intention of artificial intelligence technology among college students. No difference was found based on the number of years of studies. The technology innovativeness dimension fails to have a positive effect on college students’ perception of the usefulness of AI technology. This finding is inconsistent with previous studies and highlights the idiosyncrasies of Vietnamese students with regard to perceived AI usefulness.

Published
2020-12-23