A learners' quanta model based framework towards building dynamic web-based courseware

The courses on web are primarily pre-designed to cater the requirements of a broad base of learners or target groups. However, the target group in web is geographically spread all over the world with varying socio-economical background. If a course is designed to cater a wide spectrum of participants all over the globe, most of the participants would find a lot of redundancy. The present work aims towards providing an algorithmic solution for making the design of web-based courseware that can cater a wide spectrum of learners as well as satisfies the varied need of each learner in some tailor made approach. In our earlier work [6], we have proposed a learner-centric, modular approach, named LQ model, in which the course modules are dynamically selected from a pool and then an appropriate sequence of the selected modules is set to frame target specific and cost-effective courseware for individual learners. This LQ model has been utilized and extended here to build a framework towards developing dynamic courseware based on the exact requirements of individual learner while keeping in consideration, the background knowledge of that learner on relevant subject area. A prototype has also been built and tested following the proposed LQ model.