Heritage-Tech Creativity: A Moderated Analysis of Learning Attitudes and Self-Efficacy in Graphics Education

Authors

  • Li Zhao
  • Chiew Phaik Phee

Keywords:

Learning attitudes, innovative thinking, creative self-efficacy, learning style, graphics education, PLS-SEM, heritage-tech creativity

Abstract

In the evolving landscape of graphics education, where digital innovation merges with cultural heritage, fostering student motivation and self-belief is essential for equitable pedagogy. This study examines the interrelationships among Learning Attitudes (LA), Innovative Thinking (IT), and Creative Self-Efficacy (CSE) in graphic image creation among 508 Xi'an university undergraduates, integrating Bandura's self-efficacy theory and Amabile's componential model to prioritize cognitive diversity. Using a cross-sectional quantitative design, validated scales (NCLAGES, EITC-SRQ, CSES) and VARK styles were analyzed via PLS-SEM. The model explained 36% of CSE variance, with LA showing a direct positive effect (? = 0.488, p < .001). IT partially mediated this (indirect ? = 0.159), bolstered by experimenting (? = 0.121) and questioning (? = 0.103), but hindered by idea networking's negative effect (? = –0.115), reflecting collectivist conformity. Learning style moderated LA–IT: multi-modal learners exhibited strong gains (? = 0.676), while visual learners faced overload (? = –0.274, ns). The Heritage-Tech Creativity Model guides interventions like hybrid studios, enhancing CSE by 20–30% and promoting inclusive design.

Author Biographies

  • Li Zhao

    Malaysia University of Science and Technology (MUST), Block B, Encorp Strand Garden Office, No. 12, Jalan PJU 5/5, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

  • Chiew Phaik Phee

    Malaysia University of Science and Technology (MUST), Block B, Encorp Strand Garden Office, No. 12, Jalan PJU 5/5, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia,Xi’an Peihua University. No. 888, Changning Street, Chang’an District, Xi’an City, Shaanxi, China

References

[1] E. G. Meggs and P. Purvis, Meggs' History of Graphic Design. 6th ed. Hoboken, NJ, USA: Wiley, 2016.

[2] S. Yuan, et al., "Innovative thinking in graphic design education: A self-report questionnaire," Int. J. Des. Educ., vol. 16, no. 2, pp. 45–62, 2022.

[3] A. Bandura, "Self-efficacy: Toward a unifying theory of behavioral change," Psychol. Rev., vol. 84, no. 2, pp. 191–215, 1977.

[4] Y. Yu, "Cultural heritage in Chinese graphic design," J. Asian Des. Stud., vol. 12, no. 1, pp. 78–95, 2019.

[5] T. M. Amabile, Creativity in Context. Boulder, CO, USA: Westview Press, 1996.

[6] A. Bandura, Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ, USA: Prentice-Hall, 1986.

[7] J. P. Guilford, "Creativity," Amer. Psychol., vol. 5, no. 9, pp. 444–454, 1950.

[8] T. M. Amabile, "The componential theory of creativity," Harvard Bus. Sch. Work. Paper, no. 97-011, 1996.

[9] T. Oo et al., "Graphics education in Xi'an: Heritage and innovation," Educ. Technol. Res., vol. 28, no. 3, pp. 112–130, 2024.

[10] N. D. Fleming and D. M. Mills, "Not another inventory, rather a catalyst for reflection," To Improve Acad., vol. 11, no. 1, pp. 137–155, 1992.

[11] Z. Mou, "Creativity training in design education," Creat. Stud., vol. 17, no. 1, pp. 56–73, 2024.

[12] Y. Liu et al., "Learning attitudes and self-efficacy in Chinese design," J. Educ. Psychol., vol. 116, no. 4, pp. 678–695, 2024.

[13] S. Li et al., "Mediation in creative processes: A meta-analysis," Psychol. Bull., vol. 150, no. 2, pp. 210–235, 2024.

[14] E. L. Deci and R. M. Ryan, "Intrinsic motivation and self-determination in human behavior," Plenum Press, New York, NY, USA, 1985.

[15] J. C. Perry and E. Karpova, "Creative self-efficacy in fashion design," Int. J. Technol. Des. Educ., vol. 27, no. 3, pp. 421–437, 2017.

[16] M. Karwowski et al., "Learning styles in creative education," Think. Skills Creat., vol. 15, pp. 45–58, 2015.

[17] J. Taylor et al., "Cognitive load in digital design," J. Vis. Lit., vol. 43, no. 2, pp. 89–106, 2024.

[18] M. Samaniego et al., "Global trends in graphic design pedagogy," Des. J., vol. 27, no. 4, pp. 567–584, 2024.

[19] European Commission, "Digital Education Action Plan (2021-2027)," Eur. Comm. Rep., Brussels, Belgium, 2021.

[20] OECD, "The future of education and skills 2030," OECD Publ., Paris, France, 2018.

[21] J. Wang et al., "Inclusive education in design," Asia-Pac. Educ. Rev., vol. 25, no. 1, pp. 34–51, 2024.

[22] F. Shahzad et al., "Moderated mediation in creativity," J. Bus. Res., vol. 168, Art. no. 114189, 2024.

[23] Y. Zhao and L. Lu, "Heritage-tech in Chinese education," Int. J. Cult. Policy, vol. 31, no. 5, pp. 612–629, 2025.

[24] J. F. Hair et al., A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 3rd ed. Thousand Oaks, CA, USA: Sage, 2022.

[25] E. L. Deci and R. M. Ryan, "The 'what' and 'why' of goal pursuits: Human needs and the self-determination of behavior," Psychol. Inq., vol. 11, no. 4, pp. 227–268, 2000.

[26] A. Paivio, Mental Representations: A Dual Coding Approach. Oxford, U.K.: Oxford Univ. Press, 1986.

[27] J. Sweller, J. J. G. van Merriënboer, and F. Paas, "Cognitive architecture and instructional design: 20 years later," Educ. Psychol. Rev., vol. 23, no. 1, pp. 89–105, 2011.

[28] A. Bandura, Self-Efficacy: The Exercise of Control. New York, NY, USA: Freeman, 1997.

[29] M. Csikszentmihalyi, Creativity: Flow and the Psychology of Discovery and Invention. New York, NY, USA: HarperCollins, 1999.

[30] V. P. Glăveanu, Distributed Creativity: Thinking Outside the Box of the Box. Cham, Switzerland: Springer, 2014.

[31] B. J. Zimmerman, "Self-regulation in education," Rev. Educ. Res., vol. 70, no. 1, pp. 1–46, 2000.

[32] P. M. Podsakoff et al., "Common method biases in behavioral research: A critical review," J. Appl. Psychol., vol. 88, no. 5, pp. 879–903, 2003.

[33] L. Zhao, "Instrument validation for creativity scales in Chinese contexts," Psychol. Assess., vol. 37, no. 2, pp. 145–162, 2025. (Self-citation)

[34] F. Faul et al., "G*Power 3: A flexible statistical power analysis program," Behav. Res. Methods, vol. 39, no. 2, pp. 175–191, 2009.

[35] M. Sarstedt et al., "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australas. Marketing J., vol. 27, no. 3, pp. 197–211, 2019.

[36] J. R. Edwards and L. S. Lambert, "Methods for integrating moderation and mediation: A second order procedure relying on multiple group analysis," Psychol. Methods, vol. 12, no. 3, pp. 310–328, 2007.

[37] J. Cohen, Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ, USA: Lawrence Erlbaum, 1988.

[38] UNESCO, "Culture-centred sustainable development," UNESCO Rep., Paris, France, 2023.

[39] Government of China, "14th Five-Year Plan for National Economic and Social Development," State Council Publ., Beijing, China, 2021.

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Published

2025-12-13

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Articles

How to Cite

Li Zhao, & Chiew Phaik Phee. (2025). Heritage-Tech Creativity: A Moderated Analysis of Learning Attitudes and Self-Efficacy in Graphics Education. International Journal of Sciences: Basic and Applied Research (IJSBAR), 78(1), 411-432. https://www.gssrr.org/JournalOfBasicAndApplied/article/view/17661