STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
AI-driven Scenario -Based Comprehensive Training Model: Taking Live Broadcast Marketing Course as an Example
DOI: https://doi.org/10.62517/jhve.202516201
Author(s)
Hui Shi1,2, Xiaolin Zhu1
Affiliation(s)
1Guangzhou Huashang College, Guangzhou, Guangdong, China 2Graduate University of Mongolia, Ulaanbaatar, 14200, Mongolia
Abstract
This study aims to construct an AI-driven scenario-based comprehensive training model to enhance the teaching effectiveness of live broadcast marketing courses in vocational colleges. Focusing on the current disconnect between teaching, learning, and doing in vocational talent cultivation, the paper leverages the advantages of artificial intelligence to propose a teaching model that integrates task orientation, job competency, and multi-role collaboration. The model creates authentic business scenarios, introduces virtual characters for AI interaction, and simulates enterprise live broadcast processes, enabling students to improve their job competence and professional qualities through learning by doing and doing by learning. Based on the Outcome-Based Education (OBE) philosophy and tailored to the characteristics of live broadcast marketing courses, the study constructs a "Five-Dimensional Collaborative" training system, which has been practically applied and validated in teaching. Results show that the model effectively stimulates student interest, enhances practical skills and teamwork, and offers a feasible path and theoretical reference for curriculum reform and AI-empowered teaching in vocational education. The paper concludes with suggestions for promoting and optimizing the model, emphasizing the critical role of technological integration and scenario innovation in the transformation and upgrading of vocational education.
Keywords
AI-Driven; Scenario-Based Teaching; Comprehensive Training; Live-Stream Marketing; Teaching Model
References
[1] Li Yimai. "A Study on the Community Effect of E-commerce Live Streaming from the Perspective of Scenario Theory." 2023 (8): 38-39. [2] Sun Xinbo, Yuan Lixiu. "How Digital Content Platforms Achieve Scene-Based Innovation in Business Models: An Exploratory Single-Case Study from a Resource-Behavior Perspective." 2024 (8): 4-5. [3] Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press. [4] Piaget, J. (1950). The psychology of intelligence. Routledge & Kegan Paul. [5] Barrows, H. S. (1986). A taxonomy of problem-based learning methods. Medical Education, 20(6), 481-486. [6] Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32-42. [7] Cui Jie. "A Study on the Fission Entrepreneurship and Patching Process: A Multi-Case Study of Software Startups." Foreign Economics and Management, 2021 (5): 47-62. [8] Yan Chun, Huang Shaosheng. "The Impact of Organizational Learning and Environmental Uncertainty on Scene-Based Innovation in Live-Streaming E-commerce Companies: A Resource Patching Perspective." 2024 (1): 17-18. [9] Yin, R. K. Case Study Research: Design and Methods. Sage Publications, 2008. [10] Eisenhardt, K. M., Graebner, M. E. Theory Building from Cas es: Opportunities and Challenges. Academy of Management Journal, 2007, 50(1): 25-32.
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