Narrative-Driven Learning: Teaching Finite State Machines Through Storytelling

Teaching embedding systems demands a thorough understanding of computation models, with Finite State Machines (FSM) serving as one of the frameworks for developing the intricate behaviors of these systems. This study investigates the effectiveness of teaching Finite State Machines through storytelling using a controlled experiment with two groups: a Control Group (CG) taught traditionally and a Storytelling Group (SG) taught using a narrative-driven video. Data from pre-tests and post-tests and feedback questionnaires reveal that while storytelling did not significantly improve post-test scores, it enhanced application skills in the SG group. Storytelling helped students better connect FSM concepts to real-life scenarios like traffic lights and vending machines, while CG responses remained more abstract. Additionally, SG participants rated the video highly for attention and clarity, though some preferred more direct explanations. These findings suggest storytelling supports conceptual understanding and engagement, offering a complementary approach to teaching FSMs.