Multi-model Evaluation of the Artificial Intelligence-Enhanced PARSAT AR Software

This chapter of the book delves into the meticulous evaluation of an Artificial Intelligence-enhanced Augmented Reality (AR) mobile training system designed to enhance spatial ability training. This chapter adopts a multi-model evaluation approach, employing various research methods and techniques to comprehensively assess the system’s effectiveness and impact. The chapter commences with an overview stressing the importance of evaluating the system’s impact on spatial ability training and introduces the need for a comprehensive evaluation framework. It then delves into the “Evaluation Framework,” outlining the overall structure, research sample, and participant preparation for the training phase. The “t-Test Analysis of Students’ Feedback” section focuses on analyzing participant feedback, utilizing t-test analysis to identify differences in feedback between the experimental and control groups. This sheds light on participants’ perceptions and satisfaction with the system. Next, the “Comparative Analysis of Pre-Test/Post-Test Model” assesses the system’s impact on spatial ability development through a pre-test and post-test model, providing valuable insights into its effectiveness. The chapter also introduces an “Extended Technology Acceptance Model” tailored to evaluate the human-system interaction, exploring factors influencing system acceptance and usability.