Personalization and Visual Representation through Learning Analytics: A Meaningful Approach to Guide Self-Directed Learners

Due to technological advancement and global needs, educators are challenged with creating professionals who can exceptionally apply skill and competence in a changing world. In order to accomplish this, an educator must come up with a structure of Self-Directed Learning techniques. This technique subsequently should enhance the student’s capabilities and provide a platform to self-evaluate their performance and proficiency without compromising their learning frequency. The field of Learning Analytics is significantly matured in tracing learner’s data from their digital footprint and provide valuable insights for improving the teaching-learning process. The researchers of this study aim to identify how learning analytics can be used as a tool for personalizing learning and what information can analytics dashboard provides self-directed learners to scale up key competencies and skills.