Big Data Analytics in Education: Assessing Learning Styles and Student Performance

Dr. Maria Lopez

doi:10.71465/ajbd829

journal article Open Access Oct 31, 2024

Big Data Analytics in Education: Assessing Learning Styles and Student Performance

Dr. Maria Lopez

American Journal Of Big Data Vol. 5 No. 5 pp. 13-17 · International Study Counselor

View at Publisher Save 10.71465/ajbd829

Abstract

The integration of Big Data analytics in education has opened new avenues for understanding student behavior, learning patterns, and performance. By collecting and analyzing vast amounts of data from various sources such as learning management systems, assessments, social media, and mobile applications, educators can gain deep insights into individual learning styles, preferences, and academic performance. This paper explores how Big Data analytics can be used to assess learning styles and improve student outcomes.

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Published: Oct 31, 2024
Vol/Issue: 5(5)
Pages: 13-17
License: View

Authors

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Dr. Maria Lopez

Cite This Article

Dr. Maria Lopez (2024). Big Data Analytics in Education: Assessing Learning Styles and Student Performance. American Journal Of Big Data, 5(5), 13-17. https://doi.org/10.71465/ajbd829

Big Data Analytics in Education: Assessing Learning Styles and Student Performance

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