Here are 3 significant reasons of why the emerging wearable technology for learning should not be ignored
- “Real sharing” is the fulfillment of a dream
Life streaming has now become a reality and streams of BIG data can now be shared. The world is now evidence that learning is fostered in a culture that thrives on sharing information. Wearable computing devices can give us more opportunities to stream data concerning the activities we engage in real life. This in turn will generate what is now known as real “big data”. The data may be regarded as learning content. This data may not come in the conventional form - text, audio, image, video, AR and VR - but when coupled with better understanding of context, this data set can fundamentally transform performance support and learning.
- Memory and Provision of meaningful context
The sensors in computers that persons carry can “sense” the immediate environment. In other words, the sensor can identify location and since the computer is capable of pattern recognition, the device can be aware of what an individual is doing and then, link up with certain agents. In effect, the sensor “knows” what a person is looking at, much like the function of the search and image recognition tool Google Goggles. Also, devices such as Nike Fuel can “watch” the user’s activities in real-time. When all these capabilities are put together, it will be like having a second memory in the cloud that the user might opt to record anything (or everything). This new challenge in life-date streaming is currently being addressed.
The capability to capture context would for sure change the playing field. Software and hardware that can use sensors to make sense of huge chunks of data will be able to realize the full essence of what JIT means. They will have the ability to target support & learning materials needed, without the need for human intervention. Though the process by which humans learn will not change that much, the definition of “learning content” and “performance support” will need to be redefined.
- The evolution of technology: Progression from mobile phones
The very first mobile phones were as huge and heavy as cinder blocks. Nowadays, they have evolved into handy, lightweight devices that have amazing computing capabilities. They also have a great storage capacity of various forms of data and numerous features that allow for basic personal computing functions. At the same time, we are witnesses to the addition of new sensors in these devices which aren’t used in regular human interfacing. These sensors include, among others, GPS, accelerometers, gyroscopes, and IR, making mobile devices more machine friendly, though not necessarily human friendly.
To conclude, the adoption of new technologies must continue in much the same way that we allowed for the evolution of wire-line telephone services to wireless services. We can expect to move even further; from smartphones to wearable devices. The first wave is already here, and in just a few years it is safe to predict that wearing computing devices or “instructional technology” will be the norm rather than the exception. Developers and designers must begin asking relevant questions and make innovating decisions.
An e-learning specialist with core expertise in educational technologies. He received his Master’s degree in computer science from University of Western Australia. Aditya Pullagurla also blogs on a broad range of subjects for online e-learning magazines, he also set himself up as a freelance e-learning consultant for work place training. Aditya Pullagurla continues to progress his passion for e-learning and his enthusiasm in learning technologies. He is also very interested in networking, collaboration and outsourcing. He currently resides in Sydney and can be contacted at his email [email protected]