Risk Mitigation
In this research project, we collect the risks and their mitigations associated with the life-cycle of Learning Analytics (LA) Services.
Based on the answers we will transparently prioritise risks with their mitigations. Through this means we aspire to reduce duplication of error and improve the overall quality of services in all their contexts. We follow a community based approach, the materials gathered about LA risks and the reports generated about this study will be available for the LA community.
We also plan to review this risk repository during rounds of hackathon events: https://easychair.org/cfp/hack-lsac18
Privacy
We will not record your email address unless you want. We will ask optionally for some organisational details, which we will use to improve the value of the analysis. We will publicly share (later) in a GitHub location a version of the data that does not involve identifiable details.
Use of the form
Submit as many risks as you wish. If you have any additional information or suggestions for improvement, then please make direct contact. We are really interested in sharing your evidence and improving our efforts based on your feedback. We are happy to co-develop.
Contact
If you have any questions make contact to Alan Berg, PhD student at the University of Amsterdam:
a.m.berg AT uva.nl