TY - GEN
T1 - Factors Influencing Students' Behavioral Intention to Continue Artificial Intelligence Learning
AU - Chai, Ching Sing
AU - Lin, Pei Yi
AU - Jong, Morris Siu Yung
AU - Dai, Yun
AU - Chiu, Thomas K.F.
AU - Huang, Biyun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Artificial intelligence (AI) is increasingly employed in education for enhancing teaching practices and meeting students' learning needs. A number of AI learning opportunities in K-12 and higher education continue to grow across the world. Yet, little research has been done to investigate K-12 students' behavioral intention to learn AI. This study, which involved a sample of 131 primary students, examined the factors that affect students' behavioral intention to engage in AI learning. The exploratory factor analysis was employed to validate a four-factor survey. The general factor model includes (i) AI literacy, (ii) confidence in AI, (iii) AI for social good, and (iv) behavioral intention. The results showed that the first 3 factors were positively associated with the last factor. Students perceive the purpose of learning AI for social good as the most powerful predictor for their behavioral intention.
AB - Artificial intelligence (AI) is increasingly employed in education for enhancing teaching practices and meeting students' learning needs. A number of AI learning opportunities in K-12 and higher education continue to grow across the world. Yet, little research has been done to investigate K-12 students' behavioral intention to learn AI. This study, which involved a sample of 131 primary students, examined the factors that affect students' behavioral intention to engage in AI learning. The exploratory factor analysis was employed to validate a four-factor survey. The general factor model includes (i) AI literacy, (ii) confidence in AI, (iii) AI for social good, and (iv) behavioral intention. The results showed that the first 3 factors were positively associated with the last factor. Students perceive the purpose of learning AI for social good as the most powerful predictor for their behavioral intention.
KW - artificial intelligence
KW - behavioral intention
KW - confidence
KW - literacy
KW - social good
UR - https://www.scopus.com/pages/publications/85088634612
U2 - 10.1109/ISET49818.2020.00040
DO - 10.1109/ISET49818.2020.00040
M3 - Conference contribution
AN - SCOPUS:85088634612
T3 - Proceedings - 2020 International Symposium on Educational Technology, ISET 2020
SP - 147
EP - 150
BT - Proceedings - 2020 International Symposium on Educational Technology, ISET 2020
A2 - Wang, Fu Lee
A2 - Au, Oliver
A2 - Piamsa-nga, Punpiti
A2 - Lee, Lap-Kei
A2 - Anussornnitisarn, Pornthep
T2 - 2020 International Symposium on Educational Technology, ISET 2020
Y2 - 24 August 2020 through 27 August 2020
ER -