Academic Quality

Academic quality assessment is evolving beyond traditional metrics like GPA, aiming to provide a more holistic evaluation of student preparedness and faculty performance. Current research focuses on developing quantitative models, including optimization-based frameworks and artificial neural networks (like Siamese networks), to create comprehensive indices reflecting overall academic quality. These advancements offer the potential for fairer academic recruitment processes and improved student support by identifying factors contributing to career readiness and overall success.