A. Sheik Abdullah
*,
N. Gayathri
,
A. M. Abirami
,
R. Parkavi
- Department of Information Technology, Thiagarajar College of Engineering, Madurai, India
Abstract
One of the major challenges in engineering education is to train the students in an efficient way to determine the exposable skills in a collaborative manner to solve complex and weakly structured problems. This research work focus towards the development of a predictive data analytical model using statistical inference techniques. Each of the courses instructed to the students will have certain outcomes to be addressed. Experimental evaluation has been done with the non-applicability of active learning strategies and applicability of active learning strategies over the course outcome values attained by the students over the two batches of students. The data has been formalized to normal distribution to discover the statistical relevance. Newly formulated control limits have been established to determine the course outcome target value. With the initialization of heuristic values we came to a conclusion over the target fixing mechanism for the attainment of course outcomes. Hence from these results we can obviously fix the student target measures for any subjects by which we can deploy the mechanism of deliverables over the reality and the nature of the courses to be learnt.
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