Abstract

Learning analytics tools in Learning Management Systems are widely used to assist teachers in better understanding and interpreting students’ learning behaviour and progression, thus facilitating data-driven decision-making for pedagogical adjustments, and encouraging student engagement. In this sharing, four learning analytics tools will be introduced. First, Behavior Analytics reveals the students’ overall engagement with materials at the course and clusters students with similar learning patterns into groups, allowing teachers to decide how and when to help students lagging behind. Second, BookRoll captures students’ reading activity, like reading frequency, speed, and notes, enabling teachers to monitor the students’ reading progress and identify common questions students have in reading. Third, Discussion Forum Participation presents the number of activities and contribution of each student, group, and the entire class in the forum over time so that teachers can examine students’ activeness and performances in the forum. Fourth, text-mining provides teachers and students hierarchical visualization of how often important keywords appears in students’ reflective writing. Teachers can thus check what students have acquired before and after the course. With the use of learning analytics tools, not only can the students’ learning process be improved, but also can the self-directed learning among students be promoted.