This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural equation modeling (SEM) was used for analysis. The result indicated that Perceived reusability (PR) significantly positively impacts perceived usefulness (PU) and perceived ease of use (PEOU), while PU significantly positively impacts students' attitude (ATT) and behavioral intention (BI), according to the SEM analysis. While PEOU and PU have a robust positive association, PEOU association with BI is negligible. ATT significantly improves business intelligence. The study's results demonstrated that, with 0.53% of the variance BI, PU 37.8%, ATT 31.2%, and PEOU 31.2%, the TAM model suited the data quite well. The study's conclusions advance theories, practices, and policies that improve our comprehension of how medical students learn in a mobile learning context.