The Relationship between Student Learning Readiness to Use AI on Technological Competence for Employability Skills Development in Chinese Universities

Abstract

The rapid advancement of technology has revolutionised how businesses operate, which has in turn also transformed the skills and competencies that are desired among the young workforces. This research aims to explore how the integration of Artificial Intelligence (AI) into higher education curricula offers a transformative opportunity to enhance students' employability skills and better prepare them for the future workforce. This quantitative research proceeds with the integration of the constructivist learning theory, which has helped in the identification of key independent variables: “Cognitive Strategies”, “E-learning Experience”, “Student Perception” and “Student Engagement”, along with the mediating impact of “Technology Proficiency”. The interrelationship of these variables is explored with the development of certain hypotheses that highlight the cumulative impact on “Students’ Employability Skills”. The primary data is collected based on a quantitative research design in this study, and 380 students from Shanghai University are selected. The IBM SPSS software can be used for the analysis of data in this study. The outcomes of the research validate the assumptions made in this study, further highlighting that the constructs chosen are relevant and play a significant role in enhancing the employability skills of the students.