Le Minh Tien
Exploring undergraduate students’ general attitudes towards artificial intelligence: a perspective from vietnam
- Authors Details :
- Le Minh Tien
Journal title : Journal of Language and Cultural Education
Publisher : Walter de Gruyter GmbH
Online ISSN : 1339-4584
Page Number : 16-22
Journal volume : 12
Journal issue : 3
176 Views
Original Article
Undergraduate students’ attitudes towards Artificial Intelligence (AI) in developing countries like Vietnam are rarely explored despite AI’s increasing presence in higher education. This study aims to investigate the attitudes of undergraduate students towards AI. A quantitative research method was used, involving a self-reported survey questionnaire. The sample consisted of 460 undergraduate students (196 males and 264 females) from five public and private universities in Ho Chi Minh City, Vietnam. Data collection took place through a cross-sectional survey in November and December 2023. The General Attitudes Towards Artificial Intelligence Scale (GAAIS), originally developed and validated in English by Schepman and Rodway (2020), was adapted to Vietnamese for this study. The scale comprised 20 items to evaluate students’ attitudes towards AI. Data analysis included descriptive statistics, Cronbach’s alpha coefficient, t-tests, and one-way Analysis of Variance (ANOVA). The results indicated a Cronbach’s Alpha value of 0.705 for the total variable, demonstrating acceptable reliability. Consequently, Vietnamese undergraduate students displayed moderately positive attitudes towards AI. The findings also revealed no significant difference in attitudes based on gender, but there was a notable variation based on the student’s year of study at university.
Article DOI & Crossmark Data
DOI : https://doi.org/10.2478/jolace-2024-0014
Article Subject Details
Article Keywords Details
Article File
Full Text PDF
Article References
- (1). Abid, S., Awan, B., Ismail, T., Sarwar, N., Sarwar, G., Tariq, M., Naz, S., Ahmed, A., Farhan, M., Uzair, M., Kumar, A., Iqbal, U., Khan, A. A., & Rehman, A. U. (2019). Artificial Intelligence: Medical student’s attitude in district Peshawar Pakistan. Pakistan Journal of Public Health, .(1), 19-21. https://doi.org/10.32413/pjph.v9i1.295
- (2). Ajohani, R. A. (2021). Teachers and Students Perceptions on the Impact of Artificial Intelligence on English Language Learning in Saudi Arabia. Journal of Applied Linguistics and Language Research, .(1). https://www.jallr.com/index.php/JALLR/article/view/1156/pdf1156
- (3). An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023). Modeling English teachers’ Behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28, 5187–5208. https://doi.org/10.1007/s10639-022-11286-z
- (4). Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success. Inf Syst Front, 25, 161–182. https://doi.org/10.1007/s10796-022-10291-4
- (5). Cruz, J.P., Sembekova, A., Omirzakova, D., Bolla, S.R., & Balay-odao, E. M. (2023). General attitudes towards and readiness for medical artificial intelligence among medical and health sciences students in Kazakhstan. JMIR Preprints. https://doi.org/10.2196/preprints.49536
- (6). Darda, K., Carre, M., & Cross, E. (2023). Value attributed to text-based archives generated by artificial intelligence. Royal Society Open Science, 10, 220915. https://doi.org/10.1098/rsos.220915
- (7). Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS.SEM or CB.SEM. Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, .(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
- (8). Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yeti?ensoy, O., & Kaya, M, D. (2022). The roles of personality traits, AI anxiety, and demographic factors in attitudes toward Artificial Intelligence. International Journal of Human–Computer Interaction, 40(2), 497-514, DOI: 10.1080/10447318.2022.2151730
- (9). Kim, S. W., & Lee, Y. (2020). Attitudes toward Artificial Intelligence of High School Students’ in Korea. Journal of the Korea Convergence Society, 11(12), 1–13. https://doi.org/10.15207/JKCS.2020.11.12.001
- (10). Kwak, Y., Ahn, J. W., & Seo, Y. H. (2022). Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC Nursing, 21(1), 1-8. https://doi.org/10.1186/s12912-022-01048-0
- (11). Lukic, A., Kudelic, N., Anticevic, V., Lazic-Mosler, E., Gluncic, V., & Hren, D. (2023). First-year nursing students’ attitudes towards artificial intelligence: Cross-sectional multi-center study. NURSE Educ Pract, 71, 103735. doi: 10.1016/j.nepr.2023.103735
- (12). Mousavi Baigi, S. F., Sarbaz, M., Ghaddaripouri, K., Ghaddaripouri, M., Mousavi, A. S., & Kimiafar, K. (2023). Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Sci Rep, 6, e1138. doi:10.1002/hsr2.1138
- (13). Park, J., & Woo, S. E. (2022). Who likes artificial intelligence? Personality predictors of attitudes toward artificial intelligence. The Journal of Psychology, 156(1), 68–94. https://doi.org/10.1080/00223980.2021.2012109.
- (14). Pinto dos Santos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, K., Maintz, D., & Baeßler, B. (2019). Medical students’ attitude towards artificial intelligence: A multicentre survey. Eur Radiol, 29, 1640–1646. https://doi.org/10.1007/s00330-018-5601-1
- (15). Polesie, S., Gillstedt, M., Kittler, H., Lallas, A., Tschandl, P., Zalaudek, I., & Paoli, J. (2020). Attitudes towards artificial intelligence within dermatology: An international online survey. British Journal of Dermatology, 183(1), 159–161, https://doi.org/10.1111/bjd.18875
- (16). Sami, A. A., & Alashban, Y. (2023). Knowledge, attitudes and practices towards artificial intelligence (AI) among radiologists in Saudi Arabia. Journal of Radiation Research and Applied Sciences, 16(2), 100569. https://doi.org/10.1016/j.jrras.2023.100569
- (17). Seo, Y. H., & Ahn, J. W. (2022). The validity and reliability of the Korean version of the General Attitudes Towards Artificial Intelligence Scale for nursing students. J Korean Acad Soc Nurs Educ, 28(4), 357–67. https://doi.org/10.5977/jkasne.2022.28.4.357.
- (18). Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, ., 100014. https://doi.org/10.1016/j.chbr.2020.100014
- (19). Schepman, A., & Rodway, P. (2022). The General Attitudes Towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust. International Journal of Human–Computer Interaction, 39(13), 2724–2741. https://doi.org/10.1080/10447318.2022.2085400
- (20). Shank, D. B., Graves, C., Gott, A., Gamez, P., & Rodriguez, S. (2019). Feeling our way to machine minds: People’s emotions when perceiving mind in artificial intelligence. Computers in Human Behavior, 98, 256–266. https://doi.org/10.1016/j.chb.2019.04.001
- (21). Sheela, J. (2022). Attitude of nursing students towards artificial intelligence. International Journal of Science & Healthcare Research, 7(2): 344-347. DOI: https://doi.org/10.52403/ijshr.20220447
- (22). Shemwell, J. T., Chase, C. C., & Schwartz, D. L. (2015). Seeking the general explanation. a test of inductive activities for learning and transfer. Journal of Research in Science Teaching, 52.1., 58–83. https://doi.org/10.1002/tea.21185
- (23). Sindermann, C., Sha, P., Zhou, M., Wernicke, J., Schmitt, H, S., Li, M., Sariyska, R., Stavrou, M., Becker, B., & Montag, C. (2021). Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language. Künstl Intell, 35, 109–118. https://doi.org/10.1007/s13218-020-00689-0
- (24). Tien, L. M. (2022). Investigating students’ attitudes toward poverty and impoverished persons – A case study: Ho Chi Minh City Open University, data of Vietnam. Data in Brief, 40, 107788. https://doi.org/10.1016/j.dib.2021.107788
- (25). Wang, X., Fei, F., Wei, J., Huang, M., Xiang, F., Tu, J., Wang, Y., & Gan, J. (2024). Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study. Front. Public Health. 12:1433252. doi: 10.3389/fpubh.2024.1433252
- (26). Yüzba??o?lu, E. (2020). Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ, 1–9. https://doi.org/10.1002/jdd.12385
More Article by Le Minh Tien