Personalization in Education Using Recommendation System: An Overview

Abstract

In the modern era, when everyone has access to all the information around the world, Internet plays the most crucial role in making the process much smoother. It has already been able to flow its legacy in nearly all paths and age groups, education as a whole is also not excluded from this association factor. Internet has thus made its footprint in the world of education known as e-learning. E-learning takes into account different techniques of Internet such as Integrated Classroom Teaching to provide education to common masses. This high-tech education is a significant component of modern world today, delivering, aiding, and maximizing teaching quality. E-learning encompasses the involvement of educators and learners and mentors to enhance their work using this technology. In today’s era, everyone searches any information using the help of sites like Google, Yahoo, YouTube, etc., and it is readily available to them within the blink of an eye. Nowadays, with the advent of voice assistants, more and more people are shifting towards e-learning. Like everything in the world, e-learning has certain merits and demerits. Nevertheless, if it is utilized in a proper way can become a blessing for the human life as a whole. The unstable development of the World Wide Web (WWW) has made data innovation a prevalent stage for giving e-administration, e-learning administration. The upsides of e-learning might be decreased by and large cost, diminished learning times, steady conveyance, master information, confirmation of fruition, and so forth if the perspective of a preparation supplier or an association is taken. While if learner’s perspective is taken, the advantages may be on-demand availability, increased knowledge retention and engagement, higher variety of materials, increased confidence, etc. On the contrary, there are some disadvantages of this system overall, they being technology dependent, lack of motivation, lack of help/training support, lack of human touch, inflexible, requires a capital cost for start-up, etc. A recommender system’s primary aim is to assist users to cope with data overload by pre-selecting data that might assist to achieve the required objective. The applications have been extended to fields such as movies and music suggestion, bookstores, and education. On the basis of data being acquired, recommendation system can be divided into five approaches primarily viz. non-personalized and stereotyped, product association, content-based recommendation system, collaborative filtering, and hybrid recommendation system. There are few gaps created by the disadvantages of e-learning with normal students which can be somewhat bridged by the use of recommender systems and this will be an attempt to do so. It will present a notable notion of how and why the student and the user can benefit by using the e-learning recommender system. Conclusion and future scope the aforementioned topic will be a proper amalgamation of the recommendation system technology with Digital Learning Pedagogy, marring a few loopholes which are to be mended later.