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3 Wearable Educational Technology Secrets You Never Knew

As we evidence the growth and development of computing devices and associated wearable technology, we notice that they tend to provide more options for developers. We can relate their implications for educational technology with what happened to mobile operating systems. Besides, more insights can be gained as new platforms emerge. But for now, these wearable computing devices are basically connected to mobile devices such as smartphones. The trend towards further miniaturization suggests that soon enough there will no longer be any tethering involved.

3 Wearable Educational Technology Secrets You Never Knew

Here are 3 significant reasons of why the emerging wearable educational technology should not be ignored

  1. “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.
  2. 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.
  3. 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.

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