Success at ULisboa – Management tools
Management tools can be a strategic aid in detecting and alerting situations related to the risk of dropping out.
In order to anticipate and proactively intervene in situations that may negatively affect student performance, mechanisms are being developed to identify risk profiles that may precede academic failure and dropout in higher education.
The definition and implementation of an automatic system for detecting students with lower-than-expected academic performance, as well as the implementation of Data Science and Machine Learning Algorithms to identify risk profiles are some of the mechanisms under development.
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