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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ferguson, Rebecca Kitto, Kirsty Clow, Doug Sharkey, Mike Aguerrebere, Cecilia Cho, Yong-Sang |
| Abstract | The $2^{nd}$ LAK Failathon will build on the successful event in 2016 and extend the workshop beyond discussing individual experiences of failure to exploring how the field can improve, particularly regarding the creation and use of evidence. Failure in research is an increasingly hot topic, with high-profile crises of confidence in the published research literature in medicine and psychology. Among the major factors in this research crisis are the many incentives to report and publish only positive findings. These incentives prevent the field in general from learning from negative findings, and almost entirely preclude the publication of mistakes and errors. Thus providing an alternative forum for practitioners and researchers to learn from each other's failures can be very productive. The first LAK Failathon, held in 2016, provided just such an opportunity for researchers and practitioners to share their failures and negative findings in a lower-stakes environment, to help participants learn from each other's mistakes. It was very successful, and there was strong support for running it as an annual event. This workshop will build on that success, with twin objectives to provide an environment for individuals to learn from each other's failures, and also to co-develop plans for how we as a field can better build and deploy our evidence base. |
| Starting Page | 504 |
| Ending Page | 505 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450348706 |
| DOI | 10.1145/3027385.3029429 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-03-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Learning analytics Evidence Learning from failure Analytics |
| Content Type | Text |
| Resource Type | Article |
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