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Traditional e-Learning system displays the same content to all the learners irrespective of their knowledge level and relevance. This paper enumerates insight into the learner‟s perspective and expectation on medium of study such as regional language verses English language at education institute in fathoming the core subject or e-content provided to them in English and proposes a design for developing an adaptive e-Learning system personalized to the learner. To investigate into the learner‟s individual desire the best cutting edge practice of applying statistical tools along with a plausible framework is being adapted. The results implied that the medium of instruction (Regional language / English) at school has greater impact on the performance compared to the region (Rural / Urban) the students hailed from, when the same content is given to them in English using traditional e- Learning. However, often there exists a widespread difference among regional language as a medium of learning in rural area and English as a medium of learning in urban area. Therefore, this study intend to develop e-learning content based on individual student capability to understand using systematic decision making and customized rules. The social implication of this study reveals that adaptive elearning based on individual personal capacity and customized e-learning content has been successfully implemented and effectively established a balanced trade-off between regional language as a medium students and English as a medium of learning student‟s knowledge and performance.

An adaptive e-learning architecture: An experimental model for implementation and personalization of regional and English medium learners