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\textit{Extended Abstract}   We are living in an age of the "Internet of Things" and "Internet of Self", pervasive and omnipresent electronic media and "quantified self" at the physical and biochemical levels. In turn, these tools, particularly those that enable real time monitoring of self, self in the form of watches, wearable computing devices, and fabrics  can be powerful instruments of education and training. In education and training, application of the self monitoring tools are by no means novel. Video self modelling, using using self videos ("video selfies") have been used to train and teach individuals for behavioural modelling and fostering learning (video self modelling). Thus there is now an opportunity to compare and contrast how the two technologies, compare and contrast with each other in education. Despite several implementations of the self measurement technologies, it is not clear how the two different approaches compare and contrast with each other. Hence the objective of this paper is to provide a comprehensive survey of the literature in the form of a systematic review and meta analysis of the effectiveness of wearable computing and "Internet of Things" for learning and teaching effectiveness, and compare and contrast the results, and the technological implementations with what is known about the effectiveness of video self modelling. Such a comparison will be helpful in predicting the potential success and may provide new directions for the use of the emergent tools.