2026 ASEE Annual Conference & Exposition

Integrating emerging data-driven technological solutions into civil engineering education is essential for bridging the growing gap between conventional domain knowledge embedded in academic curricula and rapidly evolving industry practices. Although current teaching–learning systems employ rigorous frameworks for subject knowledge acquisition and separate training modules for digital skill development, learners often struggle to effectively integrate these components to emerge as well-rounded professionals. Data-driven digital solutions such as Building Information Modeling (BIM) offer the capability to converge diverse information generated across construction project operations and serve as a critical interface for informed decision-making throughout the project lifecycle. This study examines the need to realign academic delivery by embedding digitally supported activities within the core learning process of civil engineering education. The research evaluates the implementation of a six-mechanism methodology for BIM integration through a structured faculty development program conducted across affiliated colleges of a leading technological university in India. Evidence was gathered from faculty training outcomes and learner perceptions, with specific focus on design skills for engineering solution generation, workflow integration, and institutional support. The findings reveal that BIM is largely perceived as an auxiliary software skill rather than positioning it as a pedagogical instrument for integrating construction workflows, highlighting limitations in current curriculum delivery approaches. Based on these insights, the study proposes an evidence-based framework emphasizing faculty-led co-creation of BIM-integrated course modules to enhance pedagogical coherence, interdisciplinary learning, and alignment between academic training and industry requirements.