TY - GEN
T1 - How Perceived Organizational Support Influences University Students45 Intention to Use AI Language Models in Course Learning
T2 - 2023 International Conference on Information Education and Artificial Intelligence, ICIEAI 2023
AU - Hoi, Saiu
AU - Yu, Yuanyuan
AU - Ye, Long
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/12/22
Y1 - 2023/12/22
N2 - With the maturity and proliferation of large-scale artificial intelligence language models, it has become challenging to prevent university students from using chatbots like ChatGPT as auxiliary tools for course learning. An increasing number of higher education institutions are adopting a positive attitude towards AI language models and encouraging students to use various chatbots. Based on the Technology Acceptance Model (TAM), this study constructs a new theoretical model to explore the influence of perceived organizational support (POS) on students' intention to use AI language models in course learning. Using questionnaire data from 146 university students, this study validates the hypothesized model using PLS-SEM. We found: firstly, TAM has good explanatory power for the intention to use AI language models among university students, with Perceived Usefulness (PU) and Perceived Ease of Use (PEU) both having a positive and significant impact on Behavioral Intention (BI); secondly, although POS cannot directly affect BI, it can positively and effectively influence BI through the mediating roles of PU and PEU. The model has a high explanatory power (R2=0.697), providing valuable theoretical guidance for universities to support and regulate the use of AI language models in course learning by students.
AB - With the maturity and proliferation of large-scale artificial intelligence language models, it has become challenging to prevent university students from using chatbots like ChatGPT as auxiliary tools for course learning. An increasing number of higher education institutions are adopting a positive attitude towards AI language models and encouraging students to use various chatbots. Based on the Technology Acceptance Model (TAM), this study constructs a new theoretical model to explore the influence of perceived organizational support (POS) on students' intention to use AI language models in course learning. Using questionnaire data from 146 university students, this study validates the hypothesized model using PLS-SEM. We found: firstly, TAM has good explanatory power for the intention to use AI language models among university students, with Perceived Usefulness (PU) and Perceived Ease of Use (PEU) both having a positive and significant impact on Behavioral Intention (BI); secondly, although POS cannot directly affect BI, it can positively and effectively influence BI through the mediating roles of PU and PEU. The model has a high explanatory power (R2=0.697), providing valuable theoretical guidance for universities to support and regulate the use of AI language models in course learning by students.
KW - Artificial Intelligence Language Models
KW - Course Learning
KW - Online Learning
KW - Perceived Organizational Support
KW - Technology Acceptance Model
UR - http://www.scopus.com/inward/record.url?scp=85195394779&partnerID=8YFLogxK
U2 - 10.1145/3660043.3660182
DO - 10.1145/3660043.3660182
M3 - Conference contribution
AN - SCOPUS:85195394779
T3 - ACM International Conference Proceeding Series
SP - 781
EP - 786
BT - Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, ICIEAI 2023
PB - Association for Computing Machinery
Y2 - 22 December 2023 through 24 December 2023
ER -