A Study of Learner Privacy Issues in Information Education Platforms-Based on Confirmatory Factor Analysis

DOI

10.2991/978-94-6463-034-3_68How to use a DOI?

Keywords

information education platform; Privacy Concern Scale; Confirmatory factor analysis; privacy rights

Abstract

Information-based education is rich in form and has unparalleled advantages over traditional education. The educational approach that became mainstream under the influence of the epidemic. However, in the open web environment, learning analytics technologies need to collect and analyze large amounts of personal data, and online learners’ data suffer from challenges in terms of privacy, integrity and security. Through the design of the privacy concern measurement scale, this paper conducts confirmatory factor analysis to obtain and evaluate the influencing factors of online learners’ privacy concerns, and proposes privacy protection measures in terms of legal system, technology, and learners’ awareness of rights protection.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhenyuan Du
PY  - 2022
DA  - 2022/12/23
TI  - A Study of Learner Privacy Issues in Information Education Platforms-Based on Confirmatory Factor Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 666
EP  - 672
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_68
DO  - 10.2991/978-94-6463-034-3_68
ID  - Du2022
ER  -