A Digital Data-Driven Framework for Hierarchical Assessment of Studentsâ€™ Innovation and Entrepreneurship Capabilities
Ezendu Ariwa
Journal of Information Organization, Vol. 16, No. 1, 2026.
DOI: https://doi.org/10.6025/jio/2026/16/1/1-12
Link: https://www.dline.info/jio/fulltext/v16n1/jiov16n1_1.pdf
Abstract:
This study addresses the critical gap in reliable, scalable assessment of college studentsâ€™ innovation and
entrepreneurship capabilities by developing a digital, data driven evaluation system. Leveraging social
media analytics, data mining techniques, and the Analytic Hierarchy Process (AHP), the framework constructs
a three tier hierarchical indicator structure encompassing personal qualities (innovative awareness,
entrepreneurial motivation, psychological resilience), skill capabilities (professional knowledge, practical
innovation, teamwork), and learning experiences (self-directed learning, project participation,
entrepreneurial practice). Through crowdsourcing principles and frequency based indicator refinement,
the system transforms qualitative competencies into quantifiable metrics organized within a five level
classification (Aâ€“E). Experimental validation with 1,250 undergraduate students demonstrated that the
proposed system exhibited superior psychometric properties relative to conventional approaches, achieving
higher reliability (Cronbachâ€™s ï¡ï€  = 0.857), operational efficiency (0.853), and structural validity (average
factor loading = 0.275). The integrated platform deployed via cloud infrastructure with a WeChat miniprogram
interface enables objective benchmarking, precise talent identification, and evidence based
pedagogical interventions. By bridging digital youth engagement practices with rigorous multi criteria
decision making, this research contributes a scalable, empirically validated instrument for educators and
policymakers to systematically nurture innovation ready graduates. The frameworkâ€™s robust performance
supports its application in curriculum design, mentorship allocation, and resource optimization within
entrepreneurship education ecosystems, ultimately advancing the development of future ready talent capable
of driving socioeconomic transformation.