A Content Proposer System (CPS) Based on Deficiencies of Confidence Based Learning (CBL)

摘要

There has been a dramatic change in the Teaching and Learning System across the globe. The use of technology in learning arena has brought paradigm shift. This has led to a separate research domain known as Technology Enabled Learning (TEL). E-Learning is an important research area which not only improves the performance of the Learners but also provides flexible and efficient learning solutions. Confidence Based Learning (CBL) is a newer development in the field of e-Learning that is not only concerned to the development and dissemination of the Learning Content but also provides a comprehensive and holistic assessment approach using 2-dimensioanl assessment technique. This research work proposes a methodology that identifies the related learning content or competencies from the deficiencies identified during diagnose phase. Each learning chunk known as Learning Object (LO) is based on Instructional Objectives (IO). Each IO is further divided into a number of tasks. Each task is divided into several atomic competencies (ACs). An algorithm is proposed for the system that maps the AC from the deficiencies identified for a particular learner. The proposed system once implemented will handle prescription of customized learning content in an efficient manner. A case study has been used to illustrate the technique for an industrial application which shows state of the art diagnosis and prescription with analysis of results.