Research on Humanoid Robots to Boost Enterprise Strategy and Risk Management Course Teaching Reform
DOI: https://doi.org/10.62517/jhet.202515436
Author(s)
Li Feng1,2
Affiliation(s)
1School of Business, Xi'an Innovation College of Yan'an University, Xi'an, Shaanxi, China
2Shaanxi Rural Revitalization Research Institute, Xi'an Innovation College of Yan'an University, Xi'an, Shaanxi, China
Abstract
In today's world, digitalization and intelligentization are profoundly reshaping the business environment. Traditional enterprise management teaching faces bottlenecks such as a lack of practical scenarios and insufficient decision-making experience. This paper focuses on the pedagogical application value of humanoid robot technology, systematically analyzing its innovative potential within the Enterprise Strategy and Risk Management course. The research finds that current teaching commonly suffers from problems like "emphasizing theory over practice," "focusing on cognition with limited experience," and "delayed, weak feedback," rooted primarily in the lagging nature of course scenarios, the monotony of teaching methods, and resource constraints. Humanoid robots offer a new pathway for deepening students' core competencies in strategy formulation and risk management under uncertainty by providing highly immersive strategic decision-making environments, dynamic risk deduction mechanisms, and low-cost, repeatable practice platforms. This study demonstrates that humanoid robot-driven contextualized, interactive, and collaborative teaching models can effectively enhance students' higher-order thinking and practical abilities, representing a significant direction for future business education reform. The research proposes specific strategies, including constructing a hybrid virtual-physical experimental scenario system, establishing a tiered teaching robot platform, developing an integrated teaching operating system, building a "AI + Teacher" dual-teacher teaching model, and reconstructing a competency-oriented assessment system, providing references for university course reform.
Keywords
Humanoid Robot; Enterprise Strategy and Risk Management; Contextual Teaching; Cognitive Experience; Immersive Learning; Teaching Reform
References
[1] Yang Ning. Research Status and Development Trends of Educational Robots from an International Perspective: A Re-review Based on 25 Systematic Literature Reviews. Modern Educational Technology, 2022 (6): 122-126.
[2] Wang Xuenan. STEM Education Innovation and Practice: Research on Robot Curriculum Construction in Primary and Secondary Schools. Education Science Research, 2022 (11): 91-95.
[3] Lu Xiaofei, Liao Jian, Xu Qi. Research Status and Prospects of Educational Robots in Foreign Language Oral Teaching. Foreign Language World, 2021 (1): 11-19.
[4] Wang Ming. Research Progress on the Application of Humanoid Robots in Education. Educational Technology Research, 2023 (1): 45-52.
[5] Liu Dejian, Huang Ronghuai, Chen Nianxing, et al. The Rise of Educational Robots: Global Development Status and Trends. Beijing: Posts & Telecom Press, 2016: 5.
[6] Liu Wei, Tan Wenhui, Liu Xin. Human-Machine-Environment System Intelligence: Beyond Human-Machine Integration. Beijing: Science Press, 2024.
[7] Zhu Yumeng, Li Yan, Yang Yuhui, et al. Intelligent Technology-Driven Higher Education Transformation: Key Points and Reflections on the "2023 Horizon Report: Teaching and Learning Edition". Open Education Research, 2023, 29 (03): 19-30.
[8] Su Xudong. Collaborative Teaching of "Human Teacher" and "Machine Teacher" in the Digital-Intelligence Era. Open Education Research, 2024, 30 (04): 46-52.
[9] Liang Chen. Teaching Transformation and Role Change of University Teachers for Adaptive Learning. Jiangsu Higher Education, 2024 (03): 85-90.
[10] Lyu Guangzhu Zhu, SHI Miao. Teaching Transformation in American Higher Education Supported by Artificial Intelligence Technology: Development Trends, Problems, Challenges, and Lessons. Heilongjiang Researches on Higher Education, 2024, 42 (07): 79-88.