Scholar’s Journey: Predictive Academic Mentoring Infrastructure

Graduate students frequently experience cognitive overload, motivational decline, and structural uncertainty during the thesis writing process. Existing tools focus on post-hoc correction rather than proactive skill modeling, affective monitoring, or structured mentorship support for supervisors.

Scholar’s Journey is a predictive academic mentoring infrastructure that integrates Bayesian Knowledge Tracing (BKT), Stealth Assessment, and a Proactive Early Warning System (EWS) to model both cognitive mastery and affective friction during thesis development. Rather than generating answers, the system acts as a navigational layer — anticipating cognitive risk patterns, guiding structural progression, and supporting supervisors with explainable insights.

The platform transforms thesis supervision from reactive correction to predictive guidance. By modeling skill mastery trajectories, affective indicators, and hesitation patterns, Scholar’s Journey supports independent academic growth while preserving integrity and student well-being. It functions as a pedagogical co-pilot rather than an answer generator.