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Part 1. Review the presentation for Tuesday, Applications of Analytics, and consider whether any additional applications could be added to this list. If you can think of another application of analytics, go to the 'Add Application' page and submit your suggestion.
Part 2. For the application you've submitted, or for any existing application, identify a web page or document offering an example of that application. Then go to the 'Add Link' page and add your link, selecting the 'Application' category that it belongs to.
Part 3. These submissions will be collected and we will review them during the Friday discussion. If you would like credit (ie., a badge) for this work, write a blog post discussing your approach to each of the two tasks, and include links in your post to the link you uploaded.
An overview surveying applications of analytics in learning. Part of Module 2 in Ethics, Analytics and the Duty of Care, this presentation surveys the application of AI and analytics in learning, first from the perspective of different functions performed by analytics, then from the perspective of six types of analytics task: descriptive, diagnostic, predictive, prescriptive, generative and deontic.[Video]
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- -1. Getting Ready
- 1. Introduction
- 2. Applications of Learning Analytics
- 3. Ethical Issues in Learning Analytics
- 4. Ethical Codes
- 5. Approaches to Ethics
- 6. The Duty of Care
- 7. The Decisions We Make
- 8. Ethical Practices in Learning Analytics
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