International Journal of Business Management and Economics and Trade, 2025, 6(1); doi: 10.38007/IJBMET.2025.060110.
Yongzhen Qin
College of Applied Science and Technology, Beijing Union University, Beijing 100101, Beijing, China
With the continuous development of new business education demands, traditional education models face numerous challenges, particularly exhibiting significant shortcomings in cultivating inter-disciplinary talent that meets the requirements of the digital economy era. Existing teaching methods fail to effectively integrate modern technology, especially showing obvious limitations in personalized learning and real-time feedback, regarding the promotion of students' innovation ability, learning motivation, and academic performance. This paper introduces generative artificial intelligence technology, particularly AI tools like Chatgpt or Deepseek, to explore its application in new business education, aiming to address issues such as low knowledge transfer efficiency and poor interactivity in traditional teaching models. By combining artificial intelligence with traditional teaching methods, this paper constructs a novel educational model with the primary goals of enhancing learning motivation, learning outcomes, and self-directed learning ability. In the experiment, AI tools not only provide personalized learning paths but also implement a real-time feedback mechanism, helping students make precise corrections regarding weaknesses in their learning. The results show that the experimental group's learning motivation score demonstrates a prominent change between pre- and post-test measurements. The pre-test scores for learning motivation in the experimental group range from 3.5 to 3.9, while the post-test scores increase significantly to 4.2 to 4.6, indicating a marked improvement. This suggests that AI tools play an important role in stimulating students' learning interest and engagement.
New Business Education; Generative Artificial Intelligence; Learning Motivation; Learning Outcomes; Innovation Ability
Yongzhen Qin. Research on the Impact of Generative Artificial Intelligence on the Talent Training Model for New Business Disciplines in Application-Oriented Undergraduate Education (2025), Vol. 6, Issue 1: 94-103. https://doi.org/10.38007/IJBMET.2025.060110.
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