105 Examples and Tools for Augmented Reality
10:45 AM - 11:45 AM Tuesday, June 24
Augmented reality (AR) can take any situation, location, environment, or experience to a whole new level of meaning and understanding. Mobile AR technologies provide an innovative tool for contextual learning, but mobile learning designers and developers are unaware of where to look for examples or development options.
In this session, you will learn how this engaging mobile technology is changing the way people learn on mobile devices. You will explore this exciting mobile learning capability in detail and examine its potential for learning while identifying both positive and negative aspects of AR. You will also learn about the possibilities and see several exciting examples and tools for development for AR. This session will also cover attempts to classify AR according to several key aspects (device/technology, mode of interaction, type of media, personal or shared experiences) based on formal research literature from the Open University.
In this session, you will learn:
- To understand contextual mobile learning and the differences between augmented reality and mobile augmented reality
- About existing apps and tools you can leverage to create your own mobile AR content
- From examples of mobile AR using for contextual mobile learning
- The potential for learning while identifying both positive and negative aspects of AR
Novice to advanced designers and developers.
discussed in this session:
Mobile technologies, augmented reality.
Advanced Distributed Learning (ADL) Initiative
Jason Haag is the mobile learning team lead and a research analyst for the Advanced Distributed Learning (ADL) Initiative. His interest and background is in learning systems, web technology, and standards. Jason spent eight years supporting the US Navy’s eLearning program in both engineering and management roles before joining ADL in 2009. He is currently employed by the Tolliver Group and provides systems engineering and technical assistance (SETA) support for ADL; his primary focus is mobile learning research, including instructional design and performance support, mobile device platforms and technology, interface design for learning, and best practices for implementation.