Efficient Teaching Pattern (ETP) Recommendation And Priority-Based Categorization To Enhance The Quality Of Online Learning (QOL)

Abstract

Nowadays the main mode of Learning is only through online. Though online Learning is gaining much popularity it also brings a chaos among parents about the students learning pattern. It is more important that the online learning should provide a Quality of Learning (QoL) as much as the regular classroom learning. The proposed system introduced a new mechanism named as Efficient Teaching Pattern (ETP) Recommendation. Here, to engage the students in online learning and to produce the Quality of Online Learning (QOL) the Efficient Teaching Pattern (ETP) is accumulated via Pattern Matching method. The tutors teaching style and easy conveying techniques are observed and the pattern is recommended for other teachers to follow. Through this implementation the Students concentration improved and high-performance is maintained. Further, the system adapted a Priority Based Categorization in E-learning, where the most important preferences in online classes are discussed and priority is produced accordingly. Also, the system produces authority for students to customize their classes and choose their own teachers of their convenience through the Teacher Switch-Over Options. Finally the system incorporates a ‘check-list’ implementation after every class. The check-list collects feedbacks of the online session from both the students and teachers for further improvisation. The performance of the proposed system is produced through the experimental results.