Personalized Evaluation of Students' Entrepreneurship Practicals Using Big Data Technology

Personalized learning is a teaching method that tailors learning to each student's specific talents, requirements, abilities, and preferences in order to foster entrepreneurial skills. In personalized education, each student is given a curriculum based on what they already know and how well they understand. To achieve its rapid and productive activity, a large-scale data analysis model for tracking the creative and entrepreneurial skills of college students is dependent on the balance and synergy of aspects such as different learning, finance, and institutional frameworks. As a result, in this research, a Big Data-assisted Thinking Skill Analysis Model (BD-TSAM) is presented to analyze students' innovative thinking skills and improve entrepreneurial skills through tailored education. This study creates a sophisticated and varied learning resource that continuously records and analyses student data. It provides tailored training, personalized learning, and dependable real-time services through technical support that uses big data to increase Entrepreneurship abilities. BD-TSAM enhances students' distinctive social and autonomous entrepreneurship learning by providing adaptive learning services. BD-TSAM intelligently creates a learning paradigm that is appropriate for each student and actually implements tailored learning for instilling entrepreneurial abilities. Comparing the suggested BD-TSAM model to other models already in use, the experimental results demonstrate that it increases the student learning rate by 94.6%, assessment rate by 95.2%, F-measure ratio by 96.6%, student performance ratio by 98.1%, decision-making rate by 99.1%, and employment ratio by 98.9%.