Learner centric and adaptive E-library based on learner feedback model
Rajni Jindal, Alka Singhal · 2016
With the huge data flow in the E-library, nowadays performance of the e-libraries can't be judged with the correctness of the search results shown to the Learner for a given query but also with the level of acceptance of the Learner. In this paper, we envisage a Personalized E-library, which will not only quench the knowledge thirst of the learner but will also consider his personal choice, competency and environment. The E-library will be user oriented and will estimate the utility of every resource, intended to be shown in the search list for the learner. The judgment is based on two metrics Level and Like. It also provides a feedback system for modifying the metrics with the user response. It manages the effect of expert biasing and also diversity of collective intelligence.