This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…

Despite the potential for personalized learning, e-learning courses often suffer from low completion rates. In order to address this issue, we propose and empirically test a theoretical mechanism that examines how gamification can enhance the completion rate in adaptive learning courses by promoting a more positive behavioral response and attitude…

Purpose: The PEDI-CAT (ASD) is used to assess functioning of children and youth on the autism spectrum; however, current psychometric evidence is limited. This study aimed to explore the reliability, validity and acceptability of the PEDI-CAT (ASD) using a large Australian sample. Methods: Caregivers of 134 children and youth on the spectrum…

This paper contributes to understanding opportunities to use social media to identify the priorities and challenges of students from different countries in digital and face-to-face learning and networking during the COVID-19 pandemic and in the new reality after this crisis. The COVID-19 crisis resulted in intensive new e-learning and hybrid…