This dissertation examines the evolution and application of Problem-Based Learning (PBL) in higher education, emphasising its transition from medical fields to wider disciplines. Evidence indicates that PBL promotes self-directed learning, problem-solving, and engagement, but its success depends on institutional context, faculty expertise, and quality assurance mechanisms. A pilot study in Azerbaijan identified both advantages and obstacles, such as faculty resistance, limited resources, and inadequate career-oriented education. A comparative analysis of PBL versus traditional approaches demonstrates its effectiveness but also highlights the necessity to align PBL with international standards, incorporate it into accreditation frameworks, and foster stronger links between academia and industry. Sustainable reform requires professional development, diverse funding sources, and inclusive governance structures to modernise higher education and improve graduate employability.
Degree Defense
PhD Defence: The implementation and evaluation of Problem-Based Learning in Azerbaijani Higher Education
Ulkar Sattarova
Related content
Collection
Causal Machine Learning for policy evaluation
Develops a causal machine learning framework to evaluate how public policies influence countries’ export specialization
Collection
Economic Research Forum (ERF): Advancing Evidence on Social Protection and Labour Markets in the MENA Region (2022–Present)
This programme strengthens the evidence base for social protection, labour markets, informality and inequality across the MENA Region.
