Exploring the Drivers Behind Parents' Intentions to Support Fine Art Education for Primary and Middle School Students: A Case Study in Chengdu, China
Keywords:
Perceived Ease of Use, Hedonic Motivatio, Subjective Norm, Behavioral Intention, Self-EfficacyAbstract
Purpose: The study investigated the effect of seven independent variables (perceived ease of use, perceived usefulness, social influence, hedonic motivation, self-efficacy, perceived satisfaction, subjective norms) on the dependent variable (behavioral intent). Furthermore, it is designed to identify significant differences between variables. Research design, data, and methodology: The project-objective consistency index was used to evaluate the validity of this study. Cronbach's Alpha was used for the pilot test (n=30) to evaluate reliability. Multiple linear regression analysis was performed on 100 valid questionnaires of students from the Western District of Chengdu Baotongshu Primary School, Chengdu Shishi Joint Middle School, and Chengdu Baotongshu Middle School to verify the significant relationship between the variables. Subsequently, 40 students underwent a 14-week Intervention Design Implementation Then, the quantitative results before and after idioms were compared using a paired sample T-test. Results: The analysis revealed that perceived ease of use, hedonic motivation, and subjective norm significantly influence parents' behavioral intention to support art learning. The comparison results of the paired sample T-test further confirmed these findings, showing significant differences in perceived ease of use, hedonic motivation, subjective norms, and behavioral intent between the pre-IDI and post-IDI stages. Conclusion: These findings can be used to develop strategies encouraging parental involvement in students' fine art learning, enhancing the overall learning experience.
References
Agarwal, S., & Mishra, P. (2016). Self-efficacy as a predictor of organizational commitment among revenue personnel. The International Journal of Indian Psychology, 3(4), 44-52.
Ajzen, I. (1991). The theory of planned behaviours. Organizational Behaviours and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
Ashfaq, F., Abid, G., & Ilyas, S. (2021). Impact of ethical leadership on employee engagement: Role of self-efficacy and organizational commitment. European Journal of Investigation in Health, Psychology and Education, 11(3), 962-974. https://doi.org/10.3390/ejihpe11030070
Bardakcyi, S. (2019). Exploring high school students' educational use of YouTube. The International Review of Research in Open and Distributed Learning, 20(2), 260-278.
https://doi.org/10.19173/irrodl.v20i2.4074
Basha, M. B., Mason, C., Shamsudin, M. F., & Hussain, H. I. (2015). Consumers' attitude towards organic food. Procedia Economics and Finance, 31, 444-452. https://doi.org/10.1016/S2212-5671(15)01219-8
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioral intention towards internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
Brusso, R. C. (2015). Employee behavioral intention and technology use: Mediating processes and individual difference moderators. Old Dominion University.
https://doi.org/10.25777/hjsr-0x64
Chao, C. M. (2019). Factors determining the behavioural intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652.
https://doi.org/10.3389/fpsyg.2019.01652
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Eisner, E. (1996). Children's perceptual and visual development (1st ed.). Hunan Fine Arts Publishing House.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research (1st ed.). Addison-Wesley Publishing Company.
Guo, Z. (2022). Art education in primary and secondary schools under the thought of "Life is Education". Art Education Research, 12, 30-40.
Huyen, P. T., Nhi, T. Q., La, G. L., Doan, H. M., & Vu, T. D. (2022). Factors motivating students’ intention to accept online learning in emerging countries: The case study of Vietnam. Journal of Applied Research in Higher Education, 15(2), 324-341. https://doi.org/10.1108/JARHE-05-2021-0191
Jaradat, M., & Al-Mashaqba, A. (2014). Understanding the adoption and usage of mobile payment services by using TAM3. International Journal of Business Information Systems, 16, 271-296. https://doi.org/10.1504/IJBIS.2014.063768
Kim, T. T., Suh, Y. K., Lee, G., & Choi, B. G. (2010). Modelling roles of task-technology fit and self-efficacy in hotel employees' usage behaviours of hotel information systems. International Journal of Tourism Research, 12(6), 709-725. https://doi.org/10.1002/jtr.787
Liestiawati, F., & Agustina, P. (2018). The influence of UTAUT factors on e-retention with e-perceived satisfaction as mediating variable in e-learning. Hasanuddin Economics and Business Review, 2(1), 19-33. https://doi.org/10.26487/hebr.v2i1.1465
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734. https://doi.org/10.5465/amr.1995.9508080335
Menezes, N. A., & de Lucena, C. A. S. (2014). A taxonomic review of the species of Charax Scopoli, 1777 (Teleostei: Characidae: Characinae) with description of a new species from the rio Negro bearing superficial neuromasts on body scales, Amazon basin, Brazil. Neotropical Ichthyology, 12(2), 193-228. https://doi.org/10.1590/1982-0224-20130168
Ministry of Education of the People's Republic of China. (2022, May 23). Art curriculum standards. http://en.moe.gov.cn/news/press_releases/202205/t20220507_625532.html
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-479. https://doi.org/10.1177/002224378001700405
Perloff, R. M. (2003). The dynamics of persuasion: Communication and attitudes in the 21st century (2nd ed.). Lawrence Erlbaum Associates.
Posner, M. I., & Patoine, B. (2009). How arts training improves attention and cognition. Cerebrum. http://www.dana.org/news/cerebrum/detail.aspx?id=23206
Qin, X., Li, C. E., Wei, W., He, D., Zhao, Y., Cai, Q., Zhang, N., Chu, X., Shi, S., & Zhang, F. (2024). Assessing the association of coffee consumption on the relationship of chronic pain with depression and anxiety. Nutritional Neuroscience, 27(3), 196-206. https://doi.org/10.1080/1028415x.2023.2175412
Rawhouser, H., Cummings, M., & Newbert, S. L. (2019). Social impact measurement: Current approaches and future directions for social entrepreneurship research. Entrepreneurship Theory and Practice, 43(1), 82-115.
Ryu, K., Han, H., & Jang, S. (2010). Relationships among hedonic and utilitarian values, satisfaction, and behavioral intentions in the fast-casual restaurant industry. International Journal of Contemporary Hospitality Management, 22(3), 416-432. https://doi.org/10.1108/09596111011035981
Saade, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in online learning: An extension of the technology acceptance model. Information Management, 42(2), 317-327. https://doi.org/10.1016/j.im.2003.12.013
Shin, W. S., & Kang, M. (2015). The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement. International Review of Research in Open and Distributed Learning, 16(3), 110-130. https://doi.org/10.19173/irrodl.v16i3.1984
Swaminathan, S., & Schellenberg, E. G. (2016). Artseducation,academic achievement and cognitive ability. The Cambridge Handbook of the Psychology of Aesthetics and the Arts, 364-384. https://doi.org/10.1017/cbo9781139207058.018
Teo, T., & Lee, C. B. (2010). Explaining the intention to use technology among student teachers: An application of the theory of planned behavior (TPB). Campus-Wide Information Systems, 27(2), 60-67. https://doi.org/10.1108/10650741011033035
Wang, D. (2011). Keeping art interest young forever: On the cultivation of lasting art learning interest. New Curriculum: Teaching and Research Edition, 2011(2), 1-10.
Ying, M., Huang, J., Varghese, M. M., & Jaruwanakul, T. (2022). Analysis of factors affecting art major students' behavioral intention of online education in public universities in Chengdu. AU-GSB E-Journal, 15(2), 150-158.
Zeithaml, V. A., & Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: a critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375. https://doi.org/10.1177/009207002236911
Zhong, S. (2016). From core literacy on parents' misunderstanding of several concepts in children's art education. Journal of Jiamusi Vocational College, 159(2), 142.
Zhou, N. (2024). Analysis of parents' misunderstanding in children's art education. Art Education Research, 2, 168.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Qin Wei
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
