Ethical Challenges in Learning Analytics at NTU Student Dashboard

Ethical Challenges in Learning Analytics at NTU Student Dashboard
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The ethical challenges associated with implementing learning analytics at NTU Student Dashboard are explored in this study. It delves into issues of data privacy, informed consent, and the responsible use of student data. The research considers questions of intentionality, data sharing, student opt-out options, and the implications of predictive analytics on student behavior.

  • Ethical challenges
  • Learning analytics
  • NTU Student Dashboard
  • Data privacy
  • Student behavior

Uploaded on Apr 04, 2025 | 0 Views


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  1. Exploring the Ethical Challenges with Learning Analytics NTU Student Dashboard Ann Liggett

  2. Early Days 2013-4 Pilot Year 2014-5 University roll out Three schools 2015-6Enhancements Mostschools FirstYear UG Improved interface All Years New features Qualityhandbook

  3. NTU Student Dashboard Automated alerts to tutors Quality Handbook Enrolment Conditions Student Access Student Consultation

  4. Social Sciences Student Consultation Functional Layout User preferences Interface Off campus access CV building Dashboard tips and prompts Ethical What do the graphs mean? How will it be used in the future? Who is looking at my records? It should be for my personal use Don t make a link with my assessment Help would be good if I ask for it Enrolment is not informed consent

  5. We are in a critical window: whatever gets established today will be sticky and will affect public notions of what is acceptable for many years to come. JISC (2014)

  6. Challenging Questions

  7. How can we ensure that learning analytics serve learning? What are our intentions and how do we keep true to our principles?

  8. How do we guard against the increasing ease with which we share personal data? Slade and Prinsloo (2013) Specifically the use of social media in university communications, teaching and assessment.

  9. Can students opt out? Use of their data set and/or institutional support Open University position (2014) not yet

  10. Do we have an obligation to Act? Predictive Analytics comes with responsibility

  11. What are the implications for student behaviour? As the metrics become more refined will there be unintended consequences ?

  12. Code of Practice for Learning Analytics (2015) Thank you JISC

  13. Transparency and Consent Responsibility Privacy Enabling Positive Interventions Validity Access Minimising adverse impacts Stewardship of Data

  14. Sharing Solutions and Approaches Over to you

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