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Abstract-Learning analytics is a research topic that is gaining increasing popularity in recent time. It analyzes the learning data available in order to make aware or improvise the process itself and/or the outcome such as student performance. In this survey paper, we look at the recent research work that has been conducted around learning analytics, framework and integrated models, and application of various models and data mining techniques to identify students at risk and to predict student performance.

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Abstract-Video is a significant medium in data communication through which enormous information could be conveyed in less time. Video Streaming helps us play the streamed data immediately without waiting for the entire file to get downloaded. When the quality of service of video streaming is considered, delay and jitter act as very important parameters, as video streams received late cannot be played and become useless hence wasting the network resources. In Vehicular Adhoc Networks, a special type of Mobile Adhoc Networks, the two possible usages of video streams are in infotainment applications and in the safety applications. In either case, these parameters play a major role. One of the vital techniques that are applied to reduce the delay encountered is Network coding. This paper simulates the transfer of the video streams from one vehicle to another in a group of vehicles in Vehicular Adhoc Networks. Network coding is applied on the video packets here. The routes are established with routing protocols OLSR, AODV and DSDV in the above mentioned scenarios. Node density is varied and these parameters of interest are monitored and analyzed.

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