Pitch for LAK18 Hackathon
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This document discusses the need for co-design of learning analytics tools that involve learners and educators. It addresses questions around how end-users understand and interact with analytics feedback and how to address potential biases. The document advocates for building critical data literacy skills in students and developing awareness of how their data could be used. It proposes a "Learning Analytics Data Literacy Playground" that uses scaffolded activities and synthetic data sets to help students interrogate and experiment with data in a playful way to provide insights.
Pitch for LAK18 Hackathon
- 1. Learning Analytics Data Literacy Playground #LAKhackathon #LAK18 Anne-Marie Scott (Tanya Dorey-Elias, Samantha Ahern)
- 2. - Which design processes involve learners, educators and other users effectively in the co- design of analytics tools? - Which techniques are effective in assessing how end-users make sense of, interact with, and act on analytics feedback? - In what ways can learning analytics systems be biased, and can they be made more transparent and accountable to different stakeholder groups? - How are educational leaders creating the conditions for learning analytics systems to take root and grow? - How strong is the evidence that the adoption of learning analytics benefits stakeholders?
- 3. Successful co-design of analytics tools requires that students have a baseline level of understanding as to what data about them are being collected and what they could be used for
- 4. 1. Co-responsibility in an asymmetrical power and contractual relationship …obligation to act is a co-responsibility of students and institution, tempered by the asymmetrical power and contractual relationship in which the institution has very specific moral and legal duties to respond Image credit: https://pixabay.com/en/michelangelo-abstract-boy-child-71282/ Prinsloo, P & Slade S (2017) An elephant in the learning analytics room – the obligation to act, LAK17 presentation, https://www.slideshare.net/prinsp/an-elephant-in-the-learning-analytics-room-the-obligation-to-act
- 5. - How to build critical data literacy skills? - How to develop awareness amongst students of the potential uses of their data and the possible consequences? - How to gather more information about student perspectives? - How to make algorithms open to interrogation? - How to build skills for working with and interrogating data itself?
- 7. Learning Analytics Data Literacy Playground - Scaffolded activities - Synthetic data sets - Interrogation / experimentation / visualisation tools
- 8. - Challenge assumptions - Reveal potential insights - Collect insights through in-built feedback - Playful, not scary
- 9. 1. Brainstorm learning analytics use cases 2. Define activities 3. Develop data and tools 4. Develop feedback mechanisms 5. Packaging and delivery