Utilizing Fuzzy Weights to Model Logical Reasoning in Digital Escape Rooms: Dynamic Difficulty Adjustment for Enhanced Digital Skill Development

This paper presents a novel digital escape room developed to increase users' digital skills by dynamically adapting puzzles using fuzzy weights. Players find themselves in a virtual room buried with ancient manuscripts and modern digital interfaces and take on a row of puzzles stretching their pattern recognition, logic and sequencing, cryptography, and data sorting capacities. These tasks range from very simple tasks for novice users to more complicated tasks for advanced users, all in the name of the development of skills important to problem-solving, critical thinking, and cyber security. This is novel in including an adaptive difficulty mechanism for regulating fuzzy weights in controlling puzzle complexity in real time. In this manner, it will adapt the challenges in the best manner possible over a continuum from novice to expert levels, ensuring that they will have optimal engagement and continue to develop their skills. Since it interacts with individual performance, the system allows for personalized learning, being linked to an increase in learners' engagement and the development of digital skills at a pace personalized to the learners.