Assessment Reform in Higher Education: Reliability, Validity, and Learning Impact
Abstract
The structural integrity of higher education is increasingly contingent upon the robustness and alignment of its assessment architectures. As global labor markets transition toward competency-based valuation, the traditional reliance on high-stakes, summative examinations is undergoing a fundamental systemic reconfiguration. This paper provides a comprehensive interdisciplinary analysis of assessment reform in higher education, focusing on the critical dimensions of reliability, validity, and longitudinal learning impact. We investigate assessment as a socio-technical infrastructure that operates at the intersection of pedagogical theory, large-scale data systems, and institutional governance. The research explores the structural trade-offs between standardized efficiency and personalized feedback, emphasizing the role of artificial intelligence and digital telemetry in facilitating continuous formative evaluation. By synthesizing perspectives from psychometrics, systems engineering, and organizational theory, this work elucidates the tensions inherent in deploying large-scale assessment shifts, particularly concerning fairness and algorithmic bias. We provide a deep explanatory analysis of the infrastructure required to sustain "authentic assessment" models that mirror real-world complexity while maintaining the rigorous validity standards necessary for institutional accreditation. The paper further addresses the policy implications of cross-jurisdictional degree recognition and the ethical stewardship of student performance data. We conclude by advocating for a paradigm shift toward "assessment-as-learning" systems, wherein the evaluative process is not merely a terminal measurement but a primary driver of cognitive development and systemic resilience.
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