Application of Data Science to Access Classroom Management Information

  • Ritu Samaddar
  • Deb Prasad Sikdar
Keywords: Big Data, Classroom Management, Data Analytics, Data Mining, Data Science


This study explores emerging trends in educational data science with a focus on smart learning and research areas. Information fusion, soft computing, machine learning, and the Internet of things are just a few of the cutting-edge frameworks and techniques in data science that are applied to education in the finest manuscripts reviewed. Here it is discussed about searching the data using data science and analyzing the necessary paper from it. This study focuses on data analysts and emphasizes the importance of evaluating technical areas of data science based on their ability to learn from data. The benefits of a field can be direct or indirect, where the tools used by data analysts provide direct benefits and the theories serve as the basis for developing the tools, the review studies provide indirect benefits. Despite getting accurate results, data science (DS) methods often produce complex models. Despite this, the multiple opportunities presented in research through DS have increased the demand for research today.


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How to Cite
Samaddar, R., & Sikdar, D. P. (2024). Application of Data Science to Access Classroom Management Information. European Journal of Science, Innovation and Technology, 4(2), 310-320. Retrieved from