"Do It to Know It": Reshaping the Privacy Mindset of Computer Science Undergraduates

Software applications, while being an integral part of the modern world, pose significant threats to end-user privacy. Thus, computer professionals require knowledge and skills to develop privacy-aware software. However, undergraduate computing degree programs often lack privacy-focused curricula that can cultivate this ability in the future workforce. Therefore, we designed a privacy curriculum informed by the common challenges that computing professionals face when developing privacy-embedded software. It guides students in realising the need for privacy, identifying privacy protection mechanisms and programming Privacy Enhancing Technologies (PETs). We piloted the curriculum for third-year Computer Science undergraduates at the University of Auckland, New Zealand. The curriculum was evaluated using course assessments and surveys conducted before and after the lessons. Overall, the students improved their understanding of privacy, especially technical aspects. Most of them valued the applied learning experience of the programming lessons yet showed distinct views on task completion difficulty and motivation to do programming. Students recognised that privacy should be integral to their skill set by confirming the importance and relevance of the lessons. However, their perceived responsibility in privacy protection varied depending on their intention to take proactive measures. Based on the results, the paper suggests improvements to the proposed curriculum.

Authors

Institutions

Publication Details

Journal
Proceedings on Privacy Enhancing Technologies
Published
2025-07-13
DOI
https://doi.org/10.56553/popets-2025-0167
Citations
2
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

"Do It to Know It": Reshaping the Privacy Mindset of Computer Science Undergraduates

Ni Ding, Danielle Lottridge, Thilina Ranbaduge, Dinusha Vatsalan et al.
2 citations
Proceedings on Privacy Enhancing Technologies
Privacy, Security, and Data Protection
8.40
article

"Do It to Know It": Reshaping the Privacy Mindset of Computer Science Undergraduates

Ni Ding, Danielle Lottridge, Thilina Ranbaduge, Dinusha Vatsalan, Maisha Boteju
article en
2 citations

Abstract

Software applications, while being an integral part of the modern world, pose significant threats to end-user privacy. Thus, computer professionals require knowledge and skills to develop privacy-aware software. However, undergraduate computing degree programs often lack privacy-focused curricula that can cultivate this ability in the future workforce. Therefore, we designed a privacy curriculum informed by the common challenges that computing professionals face when developing privacy-embedded software. It guides students in realising the need for privacy, identifying privacy protection mechanisms and programming Privacy Enhancing Technologies (PETs). We piloted the curriculum for third-year Computer Science undergraduates at the University of Auckland, New Zealand. The curriculum was evaluated using course assessments and surveys conducted before and after the lessons. Overall, the students improved their understanding of privacy, especially technical aspects. Most of them valued the applied learning experience of the programming lessons yet showed distinct views on task completion difficulty and motivation to do programming. Students recognised that privacy should be integral to their skill set by confirming the importance and relevance of the lessons. However, their perceived responsibility in privacy protection varied depending on their intention to take proactive measures. Based on the results, the paper suggests improvements to the proposed curriculum.

Proceedings on Privacy Enhancing TechnologiesVol. 2025(4)
Commonwealth Scientific and Industrial Research Organisation (AU), University of Auckland (NZ), Data61 (AU), Macquarie University (AU)
Openalex Percentile: Top 3%
Privacy, Security, and Data Protection
8.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

"Do It to Know It": Reshaping the Privacy Mindset of Computer Science Undergraduates — Ni Ding, Danielle Lottridge, et al. · Proceedings on Privacy Enhancing Technologies (2025) | TGRS Research Map | TGRS