Use of Data Science in Education Sector

 


Education is the key factor in shaping people's lifestyles. It grasps the power to change and refine the lives of people. Since the birth of civilization, humans have evolved through education and have developed mechanisms to improve education.

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There is a large amount of data based on the educational industry. K-12 school and district records, algorithmic archives of guiding materials, and grade books.

Educational data is turning increasingly beneficial in higher education as a rising number of online classes are being used. It even opens up the private sector, where personnel are educated, and task issues are solved via online forums, threads, and distributed problem-solving methods through assignments. 

 

Here are the following applications where data science can help students to grow in academic as well as non-academic-

  • Social-Emotional Skills- Social skills, Behavioral skills
  • Monitoring Student Requirements- Student Demographics, Student Assessment Data:
  • Innovating the Curriculum- Data of Guardian
  • Measuring Instructor Performance

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Conclusion

Data science in education is absolutely essential as it ultimately promises a better future for society. We reviewed how data science is turning into an effective tool for making not only academic skills but also non-academic skills like social-behavioral skills. Moreover, it is used for evaluating the performance of students and teachers. 

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