|1. Game Design Patterns for Augmented Reality and Learning
Introduction to Augmented Reality (AR) and to affordances of AR for Learning.
What are Game Design Patterns (GDP) and how can we apply them to AR?
How can we create GDP-based AR games?
|2. Multimodal learning theories
Why is multimodality important for learning?
Why AR & MR are crucial for Multimodal learning?
How can multimodal learning systems be designed?
|3. Multimodal Tutors: Enhancing learning using multimodal data and artificial intelligence
How can we design embedded feedback loops for human learning in ubiquitous learning environments?
How can multimodal data be used in learning support?
How can application scenarios and showcases be developed to involve and activate teachers to trial and adopt new technologies in the “classroom”?
How can technology or data create by technology be used to support the validation of technology-enhanced learning in general and new technologies in particular?
|4. Using Multimodal Learning Analytics to Understand and Support Co-located Collaboration
To what extent, can we design a sensor-based co-located collaboration (CC) quality detection system and support collaboration by giving a real-time feedback?
What are the different CC scenarios?
What are the indicators of collaboration in these scenarios?
How would we use these indicators to measure the quality of CC?
To what extent, can we design a real-time feedback solution to support collaboration?