Using Video Tutorials to Learn Maya 3D for Creative Outcomes : A Case Study in Increasing Student Satisfaction by Reducing Cognitive Load

This study tracked the transition from traditional front-of-class software demonstration of Autodesk's Maya 3D to the introduction of video tutorials over a five-year period. It uses Mayer and Moreno's (2003) theory of multimedia learning to frame the analysis of results. It found that students' preference for the video tutorial increased over the course of the study. Students' preference for video tutorials was correlated with a reduction in cognitive load, increase in satisfaction with the learning experience and subsequent reduction in frustration with the software. While there was no apparent change in measurable outcomes, students' satisfaction rating with the video tutorial in preference to other learning media suggests more efficient learning was achieved. As a consequence of the findings, the traditional demonstration was discontinued. Overall, the introduction of video tutorials for learning Maya 3D reduced frustration and freed up time for more creative pursuits – the primary purpose for learning the software

Wearables, Artificial intelligence, and the Future of Healthcare

Common underlying risk factors for chronic diseases include physical inactivity accompanying modern sedentary lifestyle, unhealthy eating habits, and tobacco use. Interestingly, these prominent risk factors fall under what is referred to as modifiable behavioral risk factors, emphasizing the importance of self-care to improve wellness and prevent the onset of many debilitating conditions. In that regard, advances in wearable devices capable of pervasively collecting data about oneself coupled with the analytic capability provided by artificial intelligence and machine learning can potentially upend how we care for ourselves. This chapter aims to assess the current state and future implications of using big data and artificial intelligence in wearables for health and wellbeing. The results of the systematic review capture key developments and emphasize the potential for leveraging AI and wearables for inducing a paradigm shift in improving health and wellbeing