deletions | additions       diff --git a/What_was_submitted_to_the__.md b/What_was_submitted_to_the__.md  index 7ad70e3..401c6bb 100644  --- a/What_was_submitted_to_the__.md  +++ b/What_was_submitted_to_the__.md 
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## What was submitted to the IEEE as abstract  We are living in an age of the “Internet of Things”(IoT) and “Internet of Self”(IoS), pervasive and omnipresent electronic media and “quantified self” at the physical and biochemical levels. Real time monitoring of self through glasses, watches, wearable computing devices, and including  fabrics can be harnessed for education. The use of video is now ubiquitous in learning including the use of short sequences demonstrating practice exercises and instructional sequences (eg Khan Academy) allowing anytime anywhere study. We need to be clear we are talking about the opportunity to learn, opportunity becomes learning when the individual engages in a cognitive process, wearing or carrying a device provides the opportunity, cognition the learning. Rapid learning from the future and its associated self model theory (Dowrick 2012) draws on over four decades of self modeling using purposefully constructed videos. These have been used to teach, through observation, individuals skills and procedures that they are not able to achieve at present, but by viewing a possible future depicting the individual successfully engaged in achieving, rapid learning takes place usually within several viewings. These Feedforward “Feedforward”  video clips are typically less than two minutes in length (Dowrick 1976). Despite several implementations of the self measurement technologies, it is not clear how self modeling and emergent technologies based on the Internet of Things, wearable computing, and personal monitoring devices compare and contrast with each other to further education. It is clear that the internet of things and the internet of self (personalized learning opportunities) play and will continue to play a huge part in the developing world. The objective of this paper is to provide a comprehensive survey of the literature in the form of a systematic implementations with what is known about the Internet of self through the effectiveness of self modeling. Such a comparison will be helpful in predicting the potential success and may provide new directions for the use of the emerging tools. 
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We shall select English language intervention studies published in the last 10 years. The review, will critically appraise information identifying possible biases, ascertain the quality of the studies, and rank order the publications. We will estimate summary effect sizes for differing combinations wherever possible.  The resulting discussion of on the Internet of Things and self will inform pedagogical tools for rapid learning.