School Analytics is an academic discipline as well as a business market that has grown rapidly in the recent decade. The assessment, acquisition, evaluation, and reporting of data about students and their surroundings for the purpose of better understanding; optimizing learning and the environments in which it occurs is known as school analytics. Analytics sits at the intersection of Schooling, Analytics, and Human-Centered Development as a study and teaching subject. People have been studying the concept of learning and teaching, where tracking student progress, evaluating school or university data, developing comprehensive and accurate assessments and more, to improve the education system.
The predictions of student academic progress, particularly the recognition of students at risk of failing a subject, have been some of the most common uses of school analytics. While it is understandable that these two issues have gotten a lot of attention, learning analytics is significantly more powerful and comprehensive. According to practice and research, there are considerably more productive and potent methods to use analytics to support teaching and learning. The following are some of the most common objectives of school analytics:
1. Assisting students in developing skills and the ability for lifetime learning.
2. Providing students with customized and timely feedback on their learning.
3. Assisting in developing crucial abilities like cooperation, critical thinking, communication, and creativity.
4. Encourage self-reflection in students to help them become more conscious.
5. Provide empirical information on the success of educational innovations to support high-quality learning and teaching.
School Analytics draws on these well-established disciplines, but it intends to use new opportunities created by obtaining new types of digital data from students’ learning activities and applying data science and AI computational analysis approaches.