Personalized dynamic learning plan generator for smart learning environments

Abstract

Transition of traditional online learning towards the Smart learning environments requires adaptation of the smart features. Personalized assistance is one of the most required characteristic. Learning plans are important building blocks for any teaching learning paradigms. Often an instructor makes a learning plan keeping stakeholders into consideration. However in an online learning environment the stakeholders are not able to adapt to these static plans as there is no personalization involved. As a result there is a considerable increase in dropout rates. Hence there is a need for adaptive learning plans which aims for dynamic adjustment of schedules/learning plans that may help in successful completion of course. This paper presents an approach for dynamic learning plan generator and also proposes a revised Learning plan template to achieve personalized assistance in Smart learning environments. The responses of stakeholders on traditional learning plans and that of individualized dynamic learning plans are received. The response depicted that almost 90% of the stake holders feel that the adaptive learning approach aids in successful completion of the course along with improved motivation levels.