The Best-Worst Method-based Evaluation of Criteria for Engineering Internship

Choosing suitable internship placements is a complex decision-making task influenced by various criteria that are often underemphasized in academic planning. This study applies the Best-Worst Method (BWM) to systematically identify and prioritize the most significant factors affecting engineering students’ internship site preferences. Key considerations-including motivation, support systems, learning opportunities, and future career prospects-are gathered and quantitatively assessed using BWM. This approach enables a structured evaluation of students’ priorities, providing insights that can inform more effective and studentaligned internship planning. A case study conducted at a Thai university demonstrates how BWM can enhance strategic decision-making in engineering education and support student engagement and career development in STEM disciplines.