Interdisciplinary Translation of Comparative Visualization

Spatial visualisation skills and interpretations are critical in the design professions, but traditionally difficult to effectively teach. Visualization and multimedia presentation studies show positive improvements in learner outcomes for specific learning domains. But the development and translation of a comparative visualization pedagogy between disciplines is poorly understood. This research seeks to identify an approach to developing comparable multimodal and interactive visualizations and attendant student reflections for curriculum designers in courses that can utilize visualizations and manipulations. Results from previous use of comparative multimodal visualization pedagogy in a multimedia 3D modelling class are used as a guide to translation of pedagogy to architecture design. The focus is how to guide the use of comparative multimodal visualizations through media properties, lesson sequencing, and reflection to inform effective instruction and learning

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

AI in Learning: Designing the Future

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers

Developing Collaborative Skills through STEM Approach

Collaborative learning is a practice that dates back centuries. In Confucius’ classic text, Li Ji, there is a famous saying that one becomes narrow-minded when learning without friends. Therefore, collaborative skills not only allow students to interact with others but also enhance their opportunity to learn, which differs significantly from individual learning. Collaborative problem-solving is crucial in science, technology, engineering, and math (STEM), which are fraught with complex challenges like climate change, overpopulation, welfare, resource management, health, and biodiversity. The Systematic Literature Review (SLR) approach was used to find, assess, evaluate, and interpret all of the research that was accessible in order to create this book chapter. Preparing the youths with a collaborative mindset is crucial for addressing the issues and difficulties that arise in real life. This review specifically focuses on developing technology-based collaborative skills through STEM approach to reflect the trend of integrating technology into education

Emerging insights from the evolving framework of structural abstraction

Only recently ‘abstraction from objects’ has attracted attention in the literature as a form of abstraction that has the potential to take account of the complexity of students’ knowing and learning processes compatible with their strategy of giving meaning. This paper draws attention to several emerging insights from the evolving framework of structural abstraction in students’ knowing and learning of the limit concept of a sequence. Particular ideas are accentuated that we need to understand from a theoretical point of view since they reveal a new way of understanding knowing and learning advanced mathematical concepts