Research on the Application of Data Mining Algorithms in the Interdisciplinary Talent Cultivation of Environmental Design Majors in the Context of New Liberal Arts

Abstract

Based on an analysis of the current state of environmental design education, this article proposes educational objectives for environmental design programs. Drawing on the talent cultivation philosophy advocated by the New Liberal Arts initiative, it establishes strategies for constructing an interdisciplinary teaching system for environmental design programs and designs an interdisciplinary talent cultivation model for the field. To validate the effectiveness of this model, students from the 2023 cohort of an environmental design program at a certain university were selected as research subjects. A semester-long teaching practice was designed to explore the impact of the interdisciplinary talent cultivation model on students' academic performance and interdisciplinary competencies. Additionally, an interdisciplinary teaching quality assessment model for environmental design was constructed using the SLIQ algorithm, laying the foundation for in-depth analysis of data related to interdisciplinary talent cultivation in environmental design. The results showed that the final exam scores of the experimental class (HJ1) reached 86.61 points, an increase of 19.45% compared to the pre-test scores. In contrast, the final exam scores of the control class (HJ2) only increased by 1.29 points compared to the pre-test scores, and there was a significant difference between the two classes (p<0.01). The interdisciplinary literacy of students in the experimental class increased by 13.20% compared to before the experiment, and there was a significant difference between the teaching practices before and after the experiment (p<0.01). Therefore, the interdisciplinary talent cultivation model helps enhance the knowledge mastery level of environmental design students and also helps them improve their interdisciplinary literacy level.