Abstract:
In twenty first century education is driven towards the achievement of skills. From that perspective in this thesis, I attempted exploring dynamic data set and apply data mining based methods to explore student’s insights based on characteristics related to academic, technical and interpersonal factors. This research helped in the assessment of skills including student’s strength and weakness. The accuracy of analysis actually lies with the set of relevant skill parameters and factors. The research also helped teachers identifying the students who need special attention and allowed the teacher to provide appropriate counseling as well as give them a proper guideline for achieving analytical skills which leads a healthy collaboration between academia and industry. The model was tested and found performing well in constraint-based learning environment.
