Learning Analytics and Machine Learning

This paper integrate the state-of-the-art processes, practices, and challenges of applying learning analytics and data modeling methods in learning and teaching contexts. A large amount of research employed analytics techniques to support the learners and their learning environments to improve learning outcomes and performance. This study aims to analyze Learning Analysts in data science, especially how they can be used for better learning processes. This study uses a secondary research design to collect data from various online databases. These databases include Google Scholar and ProQuest. Only research published in 10 years is considered to ensure the recency of the extracted insights and information. The research outcome is presented as a taxonomy for learning analytics and the associated machine learning application in the education domain.