• Login
  • Register
  • Search

Exploring the Impact of Artificial Intelligence Generated Content Introduction on E-Commerce Students’ Learning Motivation and Academic Performance

Jingyi Lu

Abstract


This study investigates the transformative impact of Artificial Intelligence Generated Content (AIGC) on e-commerce major students, focusing on the intricate interplay between this advanced educational technology and the unique demands of the e-commerce industry. AIGC, driven by sophisticated AI algorithms, dynamically tailors learning materials to individual students, promising a more personalized and adaptive educational experience. Within the context of e-commerce education, characterized by the necessity for a balance between theoretical understanding and practical application, AIGC emerges as a revolutionary tool. Its adaptability ensures that students receive content aligned with the dynamic landscape of the e-commerce sector. Despite the burgeoning interest in AIGC, a notable research gap exists regarding the specific impact on e-commerce major students’ learning motivation and performance. While prior studies suggest potential benefits, empirical investigations are scarce, hindering a nuanced understanding of the technology’s infl uence on skill acquisition and academic success within this discipline. Recognizing the industry’s rapid evolution, this study aims to bridge this research gap by conducting a comprehensive examination of how AIGC shapes the educational experiences of e-commerce major students. Thus, this proposed study aims to address this research gap by exploring the relationship between AIGC on students’ learning motivation and academic performance. A mix research method will be utilized to explore this hypothesis relationship. The findings promise to contribute valuable insights into the nuanced effects of AIGC, informing educators, policymakers, and researchers about the potential implications of integrating Artificial intelligence into specialized educational domains, ultimately fostering a more effective and tailored approach to e-commerce education.

Keywords


Artificial intelligence generated content; AIGC; E-commerce; Learning motivation; Academic achievement

Full Text:

PDF

Included Database


References


[1] Williams, J., et al. (2019). Motivating learners through artificial intelligence-generated content: An experimental study. Computers & Education, 142, 103641.

[2] Liu, M., Ren, Y., Nyagoga, L. M., Stonier, F., Wu, Z., & Yu, L. (2023). Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools. Future in Educational Research.

[3] Du, H., Zhang, R., Niyato, D., Kang, J., Xiong, Z., Kim, D. I., ... & Poor, H. V. (2023). Exploring collaborative distributed diffusion-based AI-generated content (AIGC) in wireless networks. IEEE Network, (99), 1-8.

[4] Smith, J., & Chen, W. (2020). The adaptive learning revolution: Opportunities and challenges for artificial intelligence in education. British Journal of Educational Technology, 51(4), 1353-1368.

[5] Li, Y., & Wang, Y. (2021). Exploring the impact of AI-generated content on students’ academic performance. Journal of Educational Technology & Society, 24(1), 205-217.

[6] Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and psychological measurement, 52(4), 1003-1017.




DOI: http://dx.doi.org/10.18686/ahe.v8i9.13880

Refbacks