Ethical Challenges in Learning Analytics at NTU Student Dashboard
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.
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Presentation Transcript
Exploring the Ethical Challenges with Learning Analytics NTU Student Dashboard Ann Liggett
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
NTU Student Dashboard Automated alerts to tutors Quality Handbook Enrolment Conditions Student Access Student Consultation
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
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)
How can we ensure that learning analytics serve learning? What are our intentions and how do we keep true to our principles?
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.
Can students opt out? Use of their data set and/or institutional support Open University position (2014) not yet
Do we have an obligation to Act? Predictive Analytics comes with responsibility
What are the implications for student behaviour? As the metrics become more refined will there be unintended consequences ?
Code of Practice for Learning Analytics (2015) Thank you JISC
Transparency and Consent Responsibility Privacy Enabling Positive Interventions Validity Access Minimising adverse impacts Stewardship of Data
Sharing Solutions and Approaches Over to you