Cultural Differences in Students' Privacy Concerns in Learning Analytics across Germany, South Korea, Spain, Sweden, and the United States

• URL: http://arxiv.org/abs/2312.02093v2
• Date: Sun, 11 Feb 2024 14:44:46 GMT
• Title: Cultural Differences in Students' Privacy Concerns in Learning Analytics across Germany, South Korea, Spain, Sweden, and the United States
• Authors: Olga Viberg, Ren\'e F. Kizilcec, Ioana Jivet, Alejandra Mart\'inez Mon\'es, Alice Oh, Chantal Mutimukwe, Stefan Hrastinski, Maren Scheffel
• Abstract summary: Students' privacy concerns vary across national and cultural dimensions. German and Swedish students stood out as the most trusting and least concerned. Culture measured at the individual level affected the antecedents and outcomes of privacy concerns more than country-level culture.
• Score: 47.11163387909141
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Applications of learning analytics (LA) can raise concerns from students about their privacy in higher education contexts. Developing effective privacy-enhancing practices requires a systematic understanding of students' privacy concerns and how they vary across national and cultural dimensions. We conducted a survey study with established instruments to measure privacy concerns and cultural values for university students in five countries (Germany, South Korea, Spain, Sweden, and the United States; N = 762). The results show that students generally trusted institutions with their data and disclosed information as they perceived the risks to be manageable even though they felt somewhat limited in their ability to control their privacy. Across the five countries, German and Swedish students stood out as the most trusting and least concerned, especially compared to US students who reported greater perceived risk and less control. Students in South Korea and Spain responded similarly on all five privacy dimensions (perceived privacy risk, perceived privacy control, privacy concerns, trusting beliefs, and non-self-disclosure behavior), despite their significant cultural differences. Culture measured at the individual level affected the antecedents and outcomes of privacy concerns more than country-level culture. Perceived privacy risk and privacy control increase with power distance. Trusting beliefs increase with a desire for uncertainty avoidance and lower masculinity. Non-self-disclosure behaviors rise with power distance and masculinity, and decrease with more uncertainty avoidance. Thus, cultural values related to trust in institutions, social equality and risk-taking should be considered when developing privacy-enhancing practices and policies in higher education.

Related papers

• PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action [54.11479432110771]
  PrivacyLens is a novel framework designed to extend privacy-sensitive seeds into expressive vignettes and further into agent trajectories. We instantiate PrivacyLens with a collection of privacy norms grounded in privacy literature and crowdsourced seeds. State-of-the-art LMs, like GPT-4 and Llama-3-70B, leak sensitive information in 25.68% and 38.69% of cases, even when prompted with privacy-enhancing instructions.
  arXiv  Detail & Related papers  (2024-08-29T17:58:38Z)
• Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives [48.48294460952039]
  This survey offers comprehensive descriptions of the privacy, security, and fairness issues in federated learning. We contend that there exists a trade-off between privacy and fairness and between security and sharing.
  arXiv  Detail & Related papers  (2024-06-16T10:31:45Z)
• Exploring the Privacy Protection Capabilities of Chinese Large Language Models [19.12726985060863]
  We have devised a three-tiered progressive framework for evaluating privacy in language systems. Our primary objective is to comprehensively evaluate the sensitivity of large language models to private information. Our observations indicate that existing Chinese large language models universally show privacy protection shortcomings.
  arXiv  Detail & Related papers  (2024-03-27T02:31:54Z)
• Privacy Perceptions and Behaviors of Google Personal Account Holders in Saudi Arabia [10.999549381629839]
  We interviewed 30 Google personal account holders in Saudi Arabia about their privacy perceptions and behaviors. Our results show that although most participants have some level of awareness about Google's data practices, many have only vague awareness. While many participants find Google's use of their data to improve the services provided to them acceptable, the majority find the use of their data for ad purposes unacceptable.
  arXiv  Detail & Related papers  (2023-08-20T03:25:18Z)
• Sex differences in attitudes towards online privacy and anonymity among Israeli students with different technical backgrounds [0.6445605125467572]
  Our aim was to comparatively model men and women's online privacy attitudes. Various factors related to the user's online privacy and anonymity were considered. Users' tendency to engage in privacy paradox behaviour was not higher among men despite their higher level of technological online privacy literacy compared to women.
  arXiv  Detail & Related papers  (2023-08-07T12:36:37Z)
• Privacy and Fairness in Federated Learning: on the Perspective of Trade-off [58.204074436129716]
  Federated learning (FL) has been a hot topic in recent years. As two crucial ethical notions, the interactions between privacy and fairness are comparatively less studied.
  arXiv  Detail & Related papers  (2023-06-25T04:38:19Z)
• PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English [77.79102359580702]
  We introduce the Privacy Policy Language Understanding Evaluation benchmark, a multi-task benchmark for evaluating the privacy policy language understanding. We also collect a large corpus of privacy policies to enable privacy policy domain-specific language model pre-training. We demonstrate that domain-specific continual pre-training offers performance improvements across all tasks.
  arXiv  Detail & Related papers  (2022-12-20T05:58:32Z)
• How Do Input Attributes Impact the Privacy Loss in Differential Privacy? [55.492422758737575]
  We study the connection between the per-subject norm in DP neural networks and individual privacy loss. We introduce a novel metric termed the Privacy Loss-Input Susceptibility (PLIS) which allows one to apportion the subject's privacy loss to their input attributes.
  arXiv  Detail & Related papers  (2022-11-18T11:39:03Z)
• Digital Divide and Social Dilemma of Privacy Preservation [0.6261444979025642]
  "Digital privacy divide (DPD)" is introduced to describe the perceived gap in the privacy preservation of individuals based on the geopolitical location of different countries. We created an online questionnaire and collected answers from more than 700 respondents from four different countries. Individuals residing in Germany and Bangladesh share similar privacy concerns, while there is a significant similarity among individuals residing in the United States and India.
  arXiv  Detail & Related papers  (2021-10-06T11:43:46Z)
• The Kaleidoscope of Privacy: Differences across French, German, UK, and US GDPR Media Discourse [0.0]
  The European Union passed the General Data Protection Regulation on 25 May 2018. The research presented here draws on two years of media reporting on topics from French, German UK and US sources.
  arXiv  Detail & Related papers  (2021-03-31T12:46:23Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.