The dilemma and countermeasures of educational data ethics in the age of intelligence

Abstract With the advent of the era of intelligent education, artificial intelligence and other technologies are being integrated into education, so that more educational data can be collected, processed, and analyzed. However, educational data ethics is an important factor that hinders the applicat...

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Main Authors: Xiu Guan, Xiang Feng, A.Y.M. Atiquil Islam
Format: Article
Language:English
Published: Springer Nature 2023-04-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-023-01633-x
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author Xiu Guan
Xiang Feng
A.Y.M. Atiquil Islam
author_facet Xiu Guan
Xiang Feng
A.Y.M. Atiquil Islam
author_sort Xiu Guan
collection DOAJ
description Abstract With the advent of the era of intelligent education, artificial intelligence and other technologies are being integrated into education, so that more educational data can be collected, processed, and analyzed. However, educational data ethics is an important factor that hinders the application of educational data. Thus, it is important to ensure privacy and security by reasonable use of educational data. As such, this research focuses on analysis of hot-points, trends in development and problems of educational data ethics in existing research using bibliometric analysis. Based on in-depth analysis, this study proposes targeted problem-solving strategies, and future developmental direction for learner-centered educational data ethics in the era of intelligent education. This study found three major problems in the educational data ethics: (a) violation of privacy during data collection, storage, and sharing, (b) the deprivation of the ability of educational subjects to make independent choices by prediction of educational data, (c) and the lack of “forgetting ability” based on data as the evaluation standard, which is one of the restrictions on the development of educational subjects. This research proposes that the corresponding problem-solving strategy in China should be learner-centered, combined with technologies such as blockchain, 5 G technology, and federated learning to form targeted solutions from different levels. Firstly, it is necessary to establish a standard system and related platforms of educational data from the macro level. Second, the research-practice dual channels should make efforts to build a new ecology of educational data. Third, schools and teachers must appropriately apply educational data in evaluation. Finally, this study provides direction and guidance for other countries or regions in researching educational data ethics.
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spelling doaj.art-59e8986b2c7d4ba09ef35b4c381950fb2023-04-03T05:20:09ZengSpringer NatureHumanities & Social Sciences Communications2662-99922023-04-0110111410.1057/s41599-023-01633-xThe dilemma and countermeasures of educational data ethics in the age of intelligenceXiu Guan0Xiang Feng1A.Y.M. Atiquil Islam2Shanghai Engineering Research Center of Digital Educational Equipment, East China Normal UniversityShanghai Engineering Research Center of Digital Educational Equipment, East China Normal UniversityDepartment of Education Information Technology, East China Normal UniversityAbstract With the advent of the era of intelligent education, artificial intelligence and other technologies are being integrated into education, so that more educational data can be collected, processed, and analyzed. However, educational data ethics is an important factor that hinders the application of educational data. Thus, it is important to ensure privacy and security by reasonable use of educational data. As such, this research focuses on analysis of hot-points, trends in development and problems of educational data ethics in existing research using bibliometric analysis. Based on in-depth analysis, this study proposes targeted problem-solving strategies, and future developmental direction for learner-centered educational data ethics in the era of intelligent education. This study found three major problems in the educational data ethics: (a) violation of privacy during data collection, storage, and sharing, (b) the deprivation of the ability of educational subjects to make independent choices by prediction of educational data, (c) and the lack of “forgetting ability” based on data as the evaluation standard, which is one of the restrictions on the development of educational subjects. This research proposes that the corresponding problem-solving strategy in China should be learner-centered, combined with technologies such as blockchain, 5 G technology, and federated learning to form targeted solutions from different levels. Firstly, it is necessary to establish a standard system and related platforms of educational data from the macro level. Second, the research-practice dual channels should make efforts to build a new ecology of educational data. Third, schools and teachers must appropriately apply educational data in evaluation. Finally, this study provides direction and guidance for other countries or regions in researching educational data ethics.https://doi.org/10.1057/s41599-023-01633-x
spellingShingle Xiu Guan
Xiang Feng
A.Y.M. Atiquil Islam
The dilemma and countermeasures of educational data ethics in the age of intelligence
Humanities & Social Sciences Communications
title The dilemma and countermeasures of educational data ethics in the age of intelligence
title_full The dilemma and countermeasures of educational data ethics in the age of intelligence
title_fullStr The dilemma and countermeasures of educational data ethics in the age of intelligence
title_full_unstemmed The dilemma and countermeasures of educational data ethics in the age of intelligence
title_short The dilemma and countermeasures of educational data ethics in the age of intelligence
title_sort dilemma and countermeasures of educational data ethics in the age of intelligence
url https://doi.org/10.1057/s41599-023-01633-x
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