Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning

Mobile Augmented Reality System (MARS) based elearning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS has the potential to adapmt to individual learner needs and dynamically distribute tailored instruction to improve learning performance for a life time. While using MARS, learners may interact with their natural environment while MARS digitally annotates real-world objects with digital content. This digital content may combine multi-modal animation, graphics, text, and video as well as voice used to augment instruction based on empirical pedagogical models. The challenge, however, is building a MARS software architecture that fulfills this potential and is also reusable, interoperable, and adaptive to individual Augmented Reality (AR) “heads-up displays” while, at the same time, capable of delivering personalized instruction to the learner.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Jayfus T. Doswell
• Keywords: Augmented Reality, ICALT 2006, Learners, Machine Learning, MARS