Addressing the challenges of traditional, applied undergraduate business administration programs in innovative entrepreneurship education and interdisciplinary integration, such as overly monotonous course content and a lack of interactive teaching methods, this paper introduces the concepts of information technology and personalized teaching, integrating modern technologies such as big data and artificial intelligence with the business administration discipline to enhance students' innovative literacy and entrepreneurial capabilities. Specifically, by building an intelligent learning platform and deeply integrating it into practical activities, this approach stimulates students' innovative thinking and optimizes their entrepreneurial project design and teamwork skills. The experimental results showed that the experimental group's mean score for after-class practical projects is 85, with a standard deviation of 5.2, and their mean final score is 88, with a standard deviation of 4.7. In contrast, the control group's mean score for after-class practical projects is 75, with a standard deviation of 6.3, and their mean final score is 78, with a standard deviation of 6.1. The experimental group's scores are significantly higher than those of the control group in terms of innovation, entrepreneurship, teamwork, and practical application. The experimental group showed a particularly significant advantage in improving innovation and entrepreneurship, demonstrating the effectiveness of information-based teaching and interdisciplinary integration in improving college students' innovative literacy.

Yongzhen Qin. Research on the Strategies for Enhancing the Innovative Quality of Undergraduate Business Administration Students in the Digital Intelligence Era. International Journal of Big Data Intelligent Technology (2025), Vol. 6, Issue 2: 74-83. https://doi.org/10.38007/IJBDIT.2025.060208.

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