## 6 Discussion  
Our findings highlight the transformative potential of extended reality (XR) technologies in enhancing educational inclusivity. XR tools such as VR, AR, and MR have proven effective in creating engaging and accessible environments that cater to a wide array of learning needs, supporting the integration of digital and physical realms in education. The proposed system introduces several innovative features that set it apart from other XR-based educational systems. From a technological framework perspective, the proposed system combines the Unity XR Engine with generative AI, creating dynamic, immersive environments that evolve based on user interactions [16]. Unlike other XR platforms, such as those applied in physics education that rely on static setups, our system offers real-time, AI-driven adjustments, ensuring adaptive and personalized learning experiences. One of the key strengths of the proposed system is its adaptation and personalization capabilities. The generative AI module dynamically adjusts task complexity based on the user's proficiency level, making it highly targeted and effective for learners with special needs. This feature is comparable to the XR-Ed framework, which emphasizes \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Category** & **Metric** & **Definition** & **Purpose** \\ \hline \multirow{4}{*}{**Usability**} & \multirow{2}{*}{Task Completion Rate (\%)} & Percentage of tasks successfully completed by users without external assistance. & Assess system usability and ease of use. \\  & & Time on Task (seconds) & Average time required to complete each task. & Evaluate efficiency and user engagement. \\ \hline \multirow{4}{*}{Learning Outcomes} & Pre-test vs. Post-test Score (\%) & Improvement in scores before and after using the system. & Measure knowledge or skill acquisition. \\  & Retention Rate (\%) & Percentage of knowledge retained after a defined period. & Assess long-term learning effectiveness. \\ \hline \multirow{4}{*}{Adaptation} & Feedback Accuracy (\%) & Proportion of accurate, actionable feedback provided by the system. & Validate the adaptive mechanisms of the AI. \\  & User Engagement Time & Average time spent by users in the immersive environment & Assess system engagement and immersion. \\  & (minutes/session) & & \\ \hline \multirow{4}{*}{Collaboration} & \multirow{2}{*}{Interaction Rate (per session)} & Number of collaborative interactions between users or with AI-powered agents. & Evaluate the system’s support for teamwork. \\ \hline \multirow{4}{*}{Accessibility} & \multirow{2}{*}{Error Rate (\%)} & Percentage of errors made by users during task execution. & Measure accessibility for diverse user groups. \\  & Cognitive Load Index (scale: 1–10) & Subjective rating of cognitive effort required to interact with the system. & Optimize system for ease of understanding. \\ \hline \multirow{4}{*}{Satisfaction} & \multirow{2}{*}{User Satisfaction (scale: 1–5)} & Average satisfaction score obtained through a standardized survey (e.g., SUS). & Measure user experience and acceptance. \\ \hline \multirow{4}{*}{Behavioral Outcomes} & \multirow{2}{*}{Confidence Level (scale: 1–5)} & Self-reported confidence in applying learned skills in real-world scenarios. & Assess impact on user behavior. \\  & & Percentage of users applying learned skills outside the virtual environment. & Evaluate system transferability. \\ \hline \multirow{4}{*}{System Performance} & Latency (ms) & Average response time of the system to user actions. & Ensure smooth system operation. \\  & & Proportion of system errors resolved automatically without user intervention. & Evaluate system reliability and robustness. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Metrics for evaluating the implementation and functionality of the proposed system. instructional design and user-centered experiences. However, unlike XR-Ed, our system directly integrates these adjustments into specific XR tools, tailoring them to meet the unique needs of learners with sensory and cognitive challenges.