A Learning Analytics Approach to Career Readiness Development in Higher Education

摘要: There are increasing demands to improve the quality of higher education facilitate development 21st Century professional competencies such as lifelong learning, critical thinking and creativity. Learning analytics is an emerging approach that can provide educators with necessary information understand learners then assist them develop skills. In this paper, we introduce career dispositions a 6-dimesional model comprises core skills engender actions, influence ability manage growth. We present process validate new scale evaluate readiness along these dimensions. The developed self-report instrument consists 22 items six subscales was validated using exploratory factor analysis (EFA). EFA results demonstrated discreet item loadings into factors ranging from 0.3 0.8 representing acceptable level convergent validity. be integrated platform used analytical tool identify analyze complexity diversity student’s learning behaviors may impact their future performance.