• Dr. Kumud
• Dr. Prashant Dixit
• Prof. Sarvottam Dixit

Machine learning (ML) is used constantly in various industries because its possibility to give innovative and unique solutions to different partners of an organization. ML is utilized in higher education industry also, to provide insights and supporting activities of an educational organization. The higher educational organizations have commonly several data sources, which they can adapt in their activities. These systems provide the raw data, which can be used with machine learning algorithms. The main aim of this study is to explore the ML in higher education organisations. Moreover, the objective is to provide an example of ML-based project and its implementation utilizing ML project management approach. The CRISP-DM was selected in this. CRISP-Dm is an approach to execute the development task and solve the research questions. Several unsupervised and supervised ML algorithms were used during the research process. The research exists about ML utilization in higher education, but each research is conducting a different type of grants, because of raw datasets and contexts. This study provides a ML-based results related to the VIRTA data and systems. The use of ML project was a success in overall and the formation of the models were executed in this study. The results indicate that CRISP-DM approach can be adapted in higher education organizations in several course of action. ML provides worth in student performance prediction when the algos are developed based on the needs of an organization and its raw data. The results of this study can be used as well other higher education organizations. However, more research and raw data are needed to make the prediction of student performance more correct. This additional data could be collected from different areas, for instance, learning management, project management, student management, and reporting systems.

Machine learning (ML), Educational Data Mining (EDM), CRISP-DM, VIRTA, Data Mining

"Exploring Machine Learning in Higher Education: Prediction of Student Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.b387-b401, October-2022, Available :http://www.jetir.org/papers/JETIR2210159.pdf

"Exploring Machine Learning in Higher Education: Prediction of Student Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppb387-b401, October-2022, Available at : http://www.jetir.org/papers/JETIR2210159.pdf