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The organisation of the paper will be as follows. We shall 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 shall then provide a systematic review of the effectiveness and efficacy of the available tools for educational practices, and finally, we shall provide a synthesis of how the more effective technologies can be blended with the principles and practices of video self modelling to foster more effective learning and can augur emergence of effective, cost-efficient learnign tools.  The systematic review should focus on the following question, "Compared "\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)?" education)}?"  The review will focus on English language interventional studies published in the last 10 years. The review will search electronic databases (ERIC, Medline/Pubmed/UC library databases), and the reviewers will also hand search other databases and fugitive literature. We shall critically appraise information from the literature about the risk of biases, and estimate summary effect sizes for different combinations of technological tools and learning/teaching outcome measures. The results of the systematic review will then be discussed in the light of the tools of video self modelling as a pedagogical tool to enhance technology based learning and teaching practices. At the time of writing this abstract, we were unable to identify any summary of the available evidence on the effectiveness of the available tools. Our review will be the first systematic appraisal of key liteature of this emergent "game changing" technology.