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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 in the form of glasses,  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 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 video self modelling and emergent technologies based on Internet of Things, wearable computing, and personal monitoring devices compare and contrast with each other in education. 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.  The organisation of the paper will be in three parts  as follows. We shall first  provide a brief background history of the emergence of the Internet of Things (wikipedia entry here: http://en.wikipedia.org/wiki/Internet_of_Things), and the concept of video self modelling and how their potential in modifying teaching and learning practices in tertiary sector and professional education (??). We Next, we  shall then provide conduct  a systematic review of the effectivenessand efficacy  of the available tools emergent technologies (Internet of things, and wearable computing devices)  for educational practices, and finally, we shall provide a synthesis of how the more effective technologies can be blended compared, contrasted, and combined  with theprinciples and  practices of video self modelling to foster more effective learning learning,  and can augur emergence of effective, cost-efficient learning tools. The systematic review should focus on the following question, "\textit{Compared with traditional approaches, what is the overall effectiveness of wearable technology and Internet of Things based applications in fostering teaching and learnign for tertiary students and students at professional degrees (nursing, health, education)}?" We shall select English language interventional studies published in the last 10 years. We shall search electronic databases (ERIC, Medline/Pubmed/UC library databases), and in addition, hand search other databases, reference lists of he original documents, and search for fugitive literature by contacting domain experts and authors in the field. In the review, We shall critically appraise information from the literature and identify and rank order the publications on the risk of biases, and estimate summary effect sizes for different combinations of technological tools and learning/teaching outcome measures.