The world is changing rapidly, so is academics. E-learning has altered the area of academics and education. ICT enabled learning has given ideal services to students by providing any type of content on demand which is proportional to the performance of students. The concentration of learner has been found instinctive; thus there is a need of engaging mind towards course progress with its entirety till the objectives of the course will be achieved. There are several e-learning platforms available as EdX, Udacity, Khan Academy, Alison those have a number of learners registered for various courses. Studies suggest that these platforms suffer from the common problem of learners’ dropping out. Investigations also claim early leaving rate is increasing due to lack of quality of content, distraction factors, learners’ mind change, outdated and succinct information, and some more detraction factors. These issues have been observed on the basis of early leaving rates in various MOOCs. Thus there is a mammoth scope for minimizing the impact of these reasons on the learners’ mind. It can be achieved by identifying these factors affecting learners’ motivation during the course. This study is aiming on identifying these factors. The approach is to explore some certain keywords on previous literature (total 41) and then calculating their frequencies and co-factors associated with them. Both grouped factors contribution and individual factor contribution have been taken care. The study gives a direction for future work towards overcoming these actor and engaging learners in ICT enabled learning.

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The revolution in Information technology has transformed our academics and projected it in the new dimension. ICT supported learning is best facilitating learners’ needs. With some pros there are some cons as well which are affiliated with e-learning. This study is analyzing the opinions of respondents towards e-learning and electronic literature reading. To analyze the response authors employed Apriori algorithm of association rule mining approach. The support and confidence values or the analysis were kept high (≥85) to achieve good quality of association among such factors. Study finds stress generated while adopting e-learning and e-reading has higher association with content availability in web resources. This very inferable that the wide content range results more surfing and searching and resulting stress. Study also found that the distractions caused by resource divergence are strongly associated with stress and problems faced in eyes. The study is giving significant contribution towards policy making and analysis of factors that affects the learners’ choices and problems the most.