It is important to understand and analyze the performance of an individual. This helps them to get better and develop their skills. When it comes to students, it is pivotal to understand where they stand on the learning curve. With the advancement of technology and the development of the same, we now have access to a lot of tools and systems that help us automate the previously redundant, manual tasks. Learning analytics generally refers to the gathering and analysis of data about students and their learning environments with the intention of gaining insight and understanding the intricacies of classroom teaching, thereafter using gained knowledge to develop methods for improving student learning outcomes.
For all educational purposes, there are mainly two categories where data analytics is used, teaching and learning. Where teaching analytics mainly focuses on the analysis of teaching methodology and design by scrutinizing lesson plans, and courses of teachers to ascertain their efficacy in contributing to a positive student learning experience, it gathers student data and studies it to come up with options for teachers to explore in order to make the experience for the students a more effective and refined one.
The analytics provides a better understanding of the level of learning and learning ability of each student, which opens doors for more personalized attention or intervention to each student as and when required.