(BigData 2024) A Model of Big Data Analytics Applied to Teacher Evaluation Based on Enhanced Data Quality

The use of big data analytics in education has become increasingly popular in recent years. This paper investigates the application of big data analytics to teacher evaluations in order to improve teacher performance and student outcomes. The paper explores the benefits and challenges of using big data analytics in teacher evaluations, and proposes a model for applying big data analytics to teacher evaluations. The proposed model includes data collection, data cleaning, data integration, data analysis, data quality assessment, and teacher evaluation. The model emphasizes the importance of data quality in the evaluation process, and outlines challenges related to privacy, bias, technical skills, and stakeholder acceptance. The paper also discusses how big data analytics can inform data-driven decision making in education. By analyzing data, education leaders can make informed decisions about resource allocation, professional development, interventions, and curriculum development.