Abstract
Through the TAM algorithm model, 1200 students of 12 engineering higher vocational colleges in Fujian Province were investigated to further explore the validity analysis and path analysis of STEAM education to enhance the course learning of engineering higher vocational students. The results found that the teaching satisfaction of engineering students in higher vocational courses which utilized STEAM education was perceived as better, and the factors that affect engineering students’ satisfaction with courses were perceived usefulness, perceived ease of use, and learning behavior. Perceived usefulness and learning behavior have significant positive correlations with the level of learning effectiveness of engineering higher vocational students. Under the concept of cross-disciplinary STEAM education, engineering higher vocational students do not only acquire the logical thinking formed in the process of solving practical engineering problems, but they also find the coupling relationships between various subjects. STEAM education is an effective and efficient way for students to learn the engineering design process and acquire engineering thinking in higher vocational education. Under the tide of “New Engineering,” vocational higher education needs to emphasize the re-examination and continuous development of curriculum to solve real-world problems, carry out systematic higher vocational curriculum design according to the concept and connotation of interdisciplinary STEAM education, and innovate original teaching ideas, subject structure, and the organization form of the engineering subject in vocational higher education. To build an innovative and interdisciplinary higher vocational curriculum system for engineering, the integration of STEAM educational concepts should be considered as a valuable tool.

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Bybee RW (2010) Advancing STEM education: a 2020 vision. Technol Eng Teach 70(1):30
Stohlmann M, Moore TJ, Roehrig GH (2012) Considerations for teaching integrated STEM education. J Pre-Coll Eng Educ Res 2(1):4
Liao C (2016) From interdisciplinary to transdisciplinary: an arts-integrated approach to STEAM education. Art Educ 69(6):44–49
Yakman G, Lee H (2012) Exploring the exemplary STEAM education in the US as a practical educational framework for Korea. J Korean Assoc Sci Educ 32(6):1072–1086
Shin YJ, Han SK (2011) A study of the elementary school teachers’ perception in STEAM (science, technology, engineering, arts, mathematics) education. J Korean Elem Sci Educ 30(4):514–523
Lee JW, Park HJ, Kim JB (2013) Primary teachers’ perception analysis on development and application of STEAM education program. J Korean Elem Sci Educ 32(1):47–59
Munabi SK, Aguti J, Nabushawo HM (2020) Using the TAM model to predict undergraduate distance learners behavioural intention to use the Makerere University learning management system. Open Access Libr J 7(09):1–12
Ahmad A, Rasul T, Yousaf A, Zaman U (2020) Understanding factors influencing elderly diabetic patients’ continuance intention to use digital health wearables: extending the technology acceptance model (TAM). J Open Innov Technol Mark Complex 6(3):81
Jouda H (2020) Expanding TAM and investigating the factors that effect consumer intention to adopt mobile banking in Palestine. Financ Internet Q 16(3):29–50
Chen J, Gong Z, Wang W, Liu W, Wang C (2020) TAM: targeted analysis model with reinforcement learning on short texts. IEEE Trans Neural Netw Learn Syst 32:2772–2781
Park N, Ko Y (2012) Computer education’s teaching-learning methods using educational programming language based on STEAM education. In: IFIP international conference on network and parallel computing. Springer, Berlin, pp 320–327
Harris A, de Bruin LR (2018) Secondary school creativity, teacher practice and STEAM education: an international study. J Educ Change 19(2):153–179
Liu IF, Chen MC, Sun YS, Wible D, Kuo CH (2010) Extending the TAM model to explore the factors that affect intention to use an online learning community. Comput Educ 54(2):600–610
Wu L, Chen JL (2005) An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. Int J Hum Comput Stud 62(6):784–808
Sánchez-Prieto JC, Olmos-Migueláñez S, García-Peñalvo FJ (2017) MLearning and pre-service teachers: an assessment of the behavioral intention using an expanded TAM model. Comput Hum Behav 72:644–654
Al-Rahimi WM, Othman MS, Musa MA (2013) Using TAM model to measure the use of social media for collaborative learning. Int J Eng Trends Technol 5(2):90–95
Hsu HH, Chang YY (2013) Extended TAM model: impacts of convenience on acceptance and use of Moodle. Online Submiss 3(4):211–218
Waheed M, Jam FA (2010) Teacher’s intention to accept online education: extended TAM model. Interdiscip J Contemp Res Bus 2(5):330–344
Chintalapati N, Daruri VSK (2017) Examining the use of YouTube as a learning resource in higher education: scale development and validation of TAM model. Telemat Inform 34(6):853–860
Ahmad H, Butt AH, Khan A, Shafique MN, Nawaz Z (2020). Reluctance to acceptance: factors affecting e-payment adoption in Pakistan (the integration of TRI and TAM). SMART J Bus Manag Stud 16(2):49–59
Aktaş F, Karaaslan S, Kılıç M, Yücel N (2019) Farklı Oranlarda Etanol ve Metanol Katkısının Tam Yük Altında Dört Silindirli Dizel Bir Motorun Performans ve Emisyon Değerlerine Olan Etkilerinin Sayısal Olarak İncelenmesi. Politek Derg 22:967–977
Wong TT (2018) A TAM approach of studying the factors in social media and consumer purchase intention in Hong Kong. J Econ Manag Trade 21:1–17
Zhao L, Liu BB (2019) Trust-related factors affecting citizens’ adoption of e-government based on TAM model. DEStech Transactions on Social Science Education and Human Science (EIEM)
Fatmawati E (2015) Technology acceptance model (TAM) untuk menganalisis penerimaan terhadap sistem informasi di perpustakaanM INFORMASI PERPUSTAKAAN. IQRA Jurnal Ilmu Perpustakaan dan Informasi (e-J) 9(1):1–13
Tan PJB, Hsu MH (2018) Designing a system for English evaluation and teaching devices: a PZB and TAM model analysis. EURASIA J Math Sci Technol Educ 14(6):2107–2119
Salloum SA, Al-Emran M (2018) Factors affecting the adoption of e-payment systems by university students: extending the TAM with trust. Int J Electron Bus 14(4):371–390
Zhang S, Chen H, Li Y (2018) Research on factors influencing online purchase intention of second-hand products from the TAM perspective. In: Conference proceedings of the 6th international symposium on project management (ISPM2018). Aussino Academic Publishing House, pp 1214–1223
Jho H, Hong O, Song J (2016) An analysis of STEM/STEAM teacher education in Korea with a case study of two schools from a community of practice perspective. Eurasia J Math Sci Technol Educ 12(7):1843–1862
Perignat E, Katz-Buonincontro J (2019) STEAM in practice and research: an integrative literature review. Think Skills Creat 31:31–43
Zhao Q, Chen C-D, Wang J-L (2016) The effects of psychological ownership and TAM on social media loyalty: an integrated model. Telemat Inform 33(4):959–972
Madeline H, Minson K, Earp H, DeRyckere D, Graham D (2016) Targeting the TAM receptors in leukemia. Cancers 8(11):101
Nguyen VT, Pham NMQ, Van Vuong Q et al (2016) Phytochemical retention and antioxidant capacity of xao tam phan (Paramignya trimera) root as prepared by different drying methods. Dry Technol 34(3):324–334
Acknowledgements
The authors acknowledge Research on Reform of Vocational Education and Teaching in Fujian Vocational and Technical Education Center in 2020 “Cultiv Study on Cultivation of Applied Talents in STEAM Subliminal Engineering Higher Vocational Education” (GA2020006).
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Huang, Y., Liu, X. The analysis and research of STEAM education based on the TAM algorithm model to improve the learning effectiveness of higher vocational engineering students. Evol. Intel. 15, 2597–2607 (2022). https://doi.org/10.1007/s12065-021-00619-5
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DOI: https://doi.org/10.1007/s12065-021-00619-5