E-Learning based Recommendation System for Less Resourced Learners

Abstract

The research article presents a learner friendly Recommendation System of an E-Learning framework which is based on (DEW) Cloud Computing and providing service in an effective and economic way for delivering educational/academic course to remote places of North-Eastern region of India. Generally, in regions where learners do not get much opportunity to use new technologies for effective and quality learning this system is a very useful and convenient tool. E-Learning (rather U-Learning) based recommendation system is discussed for less resourced community, i.e. North Eastern language community (e.g., Khasi or/and Kokborok) for learning English where the medium of instruction is in local/tribal languages or mother tongue supported by modules and instructor (a blended learning approach). A semi-supervised ELL (i.e., English language learning) course is recommended to the learner on the basis of learners” aptitude/caliber on English language. Recommendation system is based on Django framework encoded in python programming language. The ELL (English Language Learning) courses are designed for secondary section learners from North-Eastern states of India with features like, data analytics (for recommendation system), and descriptive language teaching methodology.