DATA SCIENCE AND DATA ANALYTICS: IMPACT ON DECISION-MAKING AND EVALUATION IN ELEMENTARY SCHOOLS

Abstract

This research delves into the recent advancements in Data Science and Data Analytics and their impact on decision-making and evaluation practices in Elementary Schools. This study uses bibliometric analysis to scrutinize international scholarly literature related to Data Science, Data Analytics, Decision Making, Evaluation, and Elementary School from 2018 to 2023. Data from the Google Scholar Database unveils contemporary trends in information technology to enhance primary education. The bibliometric analysis highlights researcher collaborations, key emerging concepts, and the evolution of evaluation approaches in the Elementary School environment. These findings provide deep insights into how Data Science and Data Analytics influence educational decision-making and evaluation practices at the elementary level. In the context of elementary education, the research discusses the impact of information technology on classroom evaluation methods, paving the way for developing responsive curricula and innovative teaching approaches. This study offers a better understanding of how using Data Science and Data Analytics can enhance evaluation in Elementary Schools, providing a foundation for more effective and relevant decision-making in education. These findings enrich the scholarly literature in this field and guide researchers and educational practitioners to integrate information technology in improving the quality of primary education.