An intelligent mining technique for CBL

Confidence Based Learning (CBL) is a state-of- the- art methodology for Technology Enabled Learning (TEL), where the system assesses the attainment of knowledge and confidence level of a learner in that domain. The implementation of CBL is done based on two-dimensional assessment system, where the assessment is done using Multiple Choice Questions (MCQs). However, it is being observed that qualitative and quantitative assessment of knowledge and confidence level at other places beyond learning environment is rare. This is one of the limitation of the existing model. Intelligent mining techniques may be adopted in this scenario. Learning Record Store (LRS) may be a potential tool to resolve this existing limitation. This is possible due to the reason that LRS record information about a learner during various phases / activities in which the learner is involved. The authors presented a design that will provide a holistic mechanism for Deficiency Diagnosis (DD) system.