Implementation of data structure subject in MOOC with authentic learning environment

Abstract

Massive Open Online Course (MOOC) provide a new methodology for teaching and learning with exciting new possibilities in learning. MOOC is one of the medium for university to globally connect higher education players all over the world. However, among the issue in MOOC is the high dropout rate among the students registered. This issue poses challenges to the educators to design and develop the learning environment that able to maintain the student's retention in MOOC. This study discusses on the implementation of data structure course in an authentic learning environment. MOOC features are designed to engage authentic learning which allows students to create a meaningful, useful shared outcome. There are real life tasks or simulated tasks that provide the learner with opportunities to connect directly with the real world. The MOOC design is based on few features such as course promotional video, topic and subtopic, weekly learning outcomes, learning materials, learning activities assessment and additional resources. The study found that students with low learning progress has possibility to trigger high attrition issue and thus by providing materials that are meaningful to them will maintain the student's retention.