The Privacy and Dx [Digital Transformation] Workshop takes a deep dive into library and educational technology in order to develop best practices for learner data use in the library.

In this workshop, we will

• Recognize how Digital Transformation (Dx) is impacting intellectual privacy and its role in teaching, learning, and inquiry
• Critically examine ed tech privacy terms of service in light of the control paradox
• Consider positive-sum privacy approaches that empower teaching and research while preserving intellectual privacy
• Develop best practices for data use in higher education

Image courtesy of Unsplash

  This workshop is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Sarah Hartman-Caverly & Alexandria Chisholm.

References for the Privacy and Dx workshop.

Reflect & anonymously share your thoughts to the following questions:

• What tools or methods do you KNOW of to monitor student work?  What tools or methods do you USE to monitor student work, participation, or engagement?
• How do you utilize the info / data that you collect on students?  What value add does this provide to your library work or teaching practice?
• How has the pandemic influenced your practices / philosophy?
• How do you teach / inform students about these surveillance tools?  Are you transparent about your use of methods or tools?

**Click the plus (+) sign below each column to create your responses**

Examine front-end workplace and student monitoring tools. Apply integrated privacy perspectives, considerations, and principles to critically examine ed tech terms of service.

• Breakout Group 1 - MSTeams (Privacy at Microsoft)
• Breakout Group 2 - Starfish (EAB Privacy Policy / Previous Hobson's Starfish Privacy Policy / Penn State Starfish Site)
• Breakout Group 3 - Springshare apps (Springshare Privacy Policy / Enable scrubbing of private patron data from LibWizard submissions / Can we scrub personally identifiable patron information from LibAnswers?)
• Breakout Group 4 - GSuite for Education (Google for Education Privacy & Security Center / Google Privacy Policy)
• Breakout Group 5 - Turnitin (Turnitin Privacy and Security)
• Breakout Group 6 - Zoom (Privacy at Zoom / Zoom FERPA Guide)
• Breakout Group 7 - Canvas (Our Commitment to Privacy / Privacy FAQs for Institutions and Educators)
• Breakout Group 8 - SirsiDynix Symphony / BLUECloud analytics (SirsiDynix: Privacy Policy)

University Libraries Policy UL-AD08: Confidentiality and Privacy of Patron Library Records

Develop best practices for data use in higher education, such as student-facing disclosures, opt-in/-out mechanisms, privacy-friendly alternate assignments / learning experiences, syllabus statements, and customizing ed tech settings.

Be prepared to report back a takeaway on best practices for learner data use in academic libraries from your group!