Understanding University Students' Concerns Regarding Automated Learning Assessment Tools


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Date

2024-06

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

Altmetric

Data

Rights / License

Abstract

With increased technology use in education that leverages the benefits of user modeling, adaptation, and personalization, privacy of educational data gains relevance, yet privacy research in this area is still in its infancy. Current research on educational technologies focuses on the technological implementation and learning outcomes. Yet, potential privacy concerns or user perceptions that arise from the use of personal and sensitive data these systems require may impact user engagement, motivation, and learning. To explore potential predictors of students' privacy-related risk perceptions, we conducted a study with N=66 university students who used an automated assessment software. The results show that awareness about the types of data the software collects and how it is used is associated with lower levels of risk perception and a higher preference for using the software. The findings present a first step of a research project aiming to provide a personalized learning experience while making related privacy implications graspable and controllable.

Publication status

published

Editor

Book title

UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization

Journal / series

Volume

Pages / Article No.

195 - 200

Publisher

Association for Computing Machinery

Event

32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Privacy concern; Education technology; Higher education; User modeling; Personalization; Awareness

Organisational unit

09775 - Zimmermann, Verena / Zimmermann, Verena check_circle

Notes

Funding

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