Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different researchers used adaptive learning techniques to increase students' performance and engagement, but it has not affected too much for reducing the dropout ratio. One of the major problems with these adaptive techniques is to focus on one thing. To target this issue we have proposed the framework that provides adaptive content to each student based on his learning dimensions and knowledge background as per Bloom's Taxonomy. The results of the experiment show a significant increase in students' engagement and performance.