Collaborative Learning Assessment via Information and Communication Technology

In technological revolution, Information technology has changed the face on how Education is experienced and perceived. Learning is quickly becoming an imperative. ICT have great potential to spread learning however, the benefits of these technologies have to be made available during the daily learning hours of the students. This paper concentrates on specifying the potentials of using e-learning systems in teaching and learning and exploring how Machine Learning can be incorporated to analyses daily learning activities of students and specially content preparation and presentation tools application of e-Learning as a teaching aid for teachers. We also analyzed the e-learning facilities available in the present era that can be used by teachers to make a collaborative and participative environment of learning for the students. Results proved the productivity of the proposed model which comes from the choice of more fitting highlights chosen by the Learning algorithm. Furthermore, proposed system is used to accurately and effectively predict to evaluate collaborative learning of students performance in its early stage.