Time-to-Adoption: Four to Five Years

It is now practical to produce computers that can make decisions based on contextual clues, such as what the user is attending to, the user's location and orientation, what the user is focused on, the date and time of day, lighting conditions, other objects or people in the environment, accessible infrastructure in the immediate vicinity, and so forth. The implications are only beginning to be explored, but may be profound. Context-aware computers can interact with the user or can program themselves to have particular responses appropriate to a situation; for example, to lower the volume of music being played when a telephone rings nearby, or to silence all calls during a meeting or class.

Although the educational application of context-aware computing is still several years away, early experiments continue to spark ideas about how this group of technologies may be applied. Some universities have employed GPS-capable handheld devices for campus tours, giving the viewer information about whatever building or monument happens to be nearest. Applications for context-aware computing will increase as the technologies that make it possible become integrated with commonly carried portable devices, such as cell phones.

Relevance for Teaching, Learning & Creative Expression

Examples

For Further Reading

Context-Aware Computing: A World That Knows What to Do for You
(Paul Brand, Stanford HCI Seminar, May 2005) In this webcast of a seminar from Stanford University, Paul Brand discusses several context-aware computing projects from around the world. http://www.usabilityviews.com/uv010028.html

Potentials and Challenges of Context Awareness for Learning Systems
(Andreas Schmidt, undated.) This paper discusses the challenges of a context aware e-learning system, which would ideally know what material to deliver when to the student. http://www.andreas-p-schmidt.de/publications/abis05_aschmidt.pdf