Learning Management Systems (LMS) introduced in 1990’s support online learner-centered model by complete management of teaching, learning and assessment. These LMS help teachers to deliver course related material to their students, manage quizzes, exams and other course related tasks, evaluate student performance and manage other activities. The LMS tools like Moodle, Blackboard, Sakai, EvalTool, Dokeos etc., have produced outstanding results for both teachers as well as students. Since most of students use laptops and smart phones to access LMS for their learning related activities, therefore, their online activities generate huge volume of data that educational institutions can use to improve the performance of their teaching and learning activities. This huge volume of data can give a deep insight into the teaching and learning activities if analyzed properly. Learning Analytics(LA) is a new emerging field that analyzes this big data and develop the models that can predict the performance of student, detect the students who are most likely to drop out from the courses, prepare the reports, provide the intelligent and instant feedback to students, recommend the courses to students based on their interests and assesses the skills developed by the students. Therefore, by using learning analytics, teachers, students, faculty, and administrators can develop more engaged and effective teaching and learning techniques. Keeping in view the importance of LA, this paper discusses the LMS, LA and a framework for using LA on the LMS data.

Learning Analytics (BA); Data Mining; Dashboard; Scorecard; Learning Management Systems (LMS)

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