Smart Tutoring using Statistical Modelling in the IoT

Smart tutoring has established a new terminology to designate technological and societal improvements (e.g., Big and Open Data, IoT, RFID, and NFC) enable operative, skilled, attractive and custom-built learning. IoT is neither science fiction nor industry buildup however is rather in view of strong innovative advances and dreams of arrange universality that are energetically being figured out. Devices used in IoT produces huge amount of data which attract attention towards applying statistical modelling over data produced. In this paper we have proposed a smart tutoring which uses regression statistical model which will take the student class test marks and other activity marks as input dataset which is produced by IoT devices, our proposed statistical modelling based algorithm will predict the student performance, we have also passed the produced output to different classifiers to check the accuracy of prediction.