Understanding University Students' Concerns Regarding Automated Learning Assessment Tools
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Date
2024-06
Publication Type
Conference Paper
ETH Bibliography
yes
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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.
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published
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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
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Date created
Subject
Privacy concern; Education technology; Higher education; User modeling; Personalization; Awareness
Organisational unit
09775 - Zimmermann, Verena / Zimmermann, Verena