Structured Fieldwork Intelligence Framework (SFIF): enhancing experiential learning in integrated case study

This study introduces the Structured Fieldwork Intelligence Framework (SFIF) as an innovative teaching approach to enhance the effectiveness of fieldwork-based learning in Integrated Case Study courses (a fieldwork project where students do a site visit to interview a real business). Traditionally, students undertaking fieldwork assessments face challenges such as lack of direction in approaching businesses, inconsistent interview practices, and variability in analytical depth across groups. These issues often result in superficial findings and limited academic value. The SFIF addresses these limitations by embedding a structured, three-phase framework (Pre-Fieldwork, Fieldwork Execution, and Post-Fieldwork Analysis) supported by standardized tools, guided interview protocols, and analytical frameworks. Students are required to prepare a fieldwork proposal, conduct semi-structured interviews using a lecturer-approved template, and apply strategic and accounting-based analyses such as SWOT and financial evaluation. In addition, the framework incorporates reflective learning, documentation through fieldwork logbooks, and industry engagement mechanisms to ensure authenticity and consistency. The outcome transforms the traditional field visit into a structured “mini consultancy project,” where students generate actionable recommendations for real businesses. The innovation lies in its integration of experiential learning with structured analytical thinking, improving both academic rigor and practical relevance. Implementation of SFIF is expected to enhance student confidence, standardize learning outcomes, and strengthen university-industry collaboration. This approach is scalable across disciplines and aligns with outcome-based education and graduate employability goals.