Challenges Associated with Quality and Big Data Tool Based Study in Blended Learning Models

The main aim of this study focus on blended learning and its ways of maintaining the quality studies based on various blended models. Most of the issues faced by students and teachers and the ways of resolving forms the discussion of the paper. As blended learning is based on traditional and face-to -face method, teaching and learning components such as assessment including prior knowledge of the topic, evaluation methods of assessment and appeals, identification of barriers such as language, Blended learning (BL) literacy & needs, fees structure of the course, balanced workload, recognition towards achievement, monitoring continuous improvement of individual student etc., forms the quality along with different challenges and the ways of reaching the solution. It is more evident that big data which is an innovative driving tool in education supports teaching quality with various impacts on individual student long term achievement.