Developing a lecturer ranking system based on student evaluations

Abstract

The quality of teaching is a critical component in enhancing student development within higher education. While student feedback is increasingly recognized as a valuable tool for assessing instructional effectiveness, existing evaluation systems often lack methodological diversity and fail to capture comprehensive performance insights. This study addresses the gap by proposing a multi-method faculty ranking system based on student evaluations, with a focus on a specific academic course. The objective is to develop a more nuanced and reliable mechanism for assessing teaching quality. Four distinct evaluation techniques were employed to rank faculty members: the Preference Selection Index (PSI) method, the Simple Ranking Process (SRP) method, the Ranking Analysis Method (RAM), and the Preference Index Value (PIV) method. These methods were systematically compared with each other and with conventional institutional practices. The analysis demonstrates that the proposed framework offers enhanced precision and consistency in ranking instructional performance. The findings highlight the potential for integrating multiple evaluative approaches to inform faculty development and support evidence-based decisions in academic management.

Keyword: Evaluation; lecturer; multi-criteria decision-making; ranking; student