Microlearning Based Content-Curation Using Artificial Intelligence for Learning Experience Platform: A Survey

Abstract

The internet is a vast pool of all kind of educational information, where every video, blog, article, podcast, and webpage is possibly found within a matter of a click From this wide range of available content it is difficult for the learner to search or find the relevant information without spending hours and hours in refining the search results. Learners want to learn something quick, something small, up-to-date and above all, at their own pace. They want bite-sized information that is focused, easily absorbed, and available on-demand, on any device based on their interest and knowledge. This has led to the necessity of analyzing the gathered data and curate valuable information from it. In this survey paper, the field of learning is examined regarding various challenges learners are facing. Additionally, a few of the challenges which are encountered in the literature will be tackled in the proposed work. Hence the objective of this paper is to provide a platform which will help learners to find the right learning materials by suggesting them with content specifically targeted to the specific domain based on their skills, strengths, weaknesses, backgrounds, needs, different levels of domain knowledge, learning style, experience and interest in micro-form using the principles of micro-learning using AI-based Content curation.

Keywords: Macro-learning, Micro-learning, AI based Content curation, Skill-based Learning and Recommendation