@inproceedings{da47bbfb43924e8cb418e29f93736b9a,
title = "Data Science in Education: Applications and Challenges",
abstract = "In today's technology environment, big data is a catchphrase that everyone is talking about. Most traditional pedagogies offer students limited timely feedback, require lecturers and teachers to spend hours grading routine assignments. These pedagogies fail in integrating ample digital resources and are not potent to enhance students' understanding. Data has enormous potential to enhance research, decision making, and lifelong learning. The combination of complex disciplines of computer science and statistics with social science philosophy in education data science aims to study more about how students learn and interact in the educational environment with real-time data collection. Despite its infancy, the wide availability of educational data has spurred an interest in analyzing relevant knowledge to guide educational policy and practice. This paper discusses the applications of data science in education field as well as the challenges for future development.",
keywords = "big data, data science, education",
author = "Anna Felicia and Wong, {W. K.} and Loh, {W. N.} and Juwono, {Filbert H.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021 ; Conference date: 25-10-2021 Through 26-10-2021",
year = "2021",
doi = "10.1109/ICDABI53623.2021.9655969",
language = "English",
series = "2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "84--89",
booktitle = "2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021",
}