Developing a Scalable Model for Segmenting College Students' Abilities in Information Technology and Digital Health: Strategic Implications for the Pharmaceutical and Biotechnology Industries

Abstract

This paper presents the development of a comprehensive ability assessment system for college students, utilizing advanced information technology and digital health methodologies. By examining the capabilities of information technology, the study explores its application in evaluating the diverse skill sets of students, particularly in areas relevant to the pharmaceutical and biotechnology industries. The assessment system incorporates digital health technology to analyze and refine criteria for evaluating students' mental health, which is critical in understanding their overall cognitive and practical capabilities. The research employs a refined topological model to structure and segment the assessment process, enabling a detailed evaluation of students' competencies. This model is applied to break down and categorize the components of students' comprehensive abilities, providing a more nuanced understanding of their strengths and areas for development. The results indicate that implementing this assessment system significantly enhances students' theoretical knowledge, increasing it from 60% to 70%, and practical skills, which improved from 40% to 55%. These findings suggest that the integration of information technology and digital health in the assessment process is instrumental in fostering the all-round development of students, aligning their capabilities with the demands of the pharmaceutical and biotechnology sectors.