RFIs
RFI 16-25 Student Predictive Analytics
For HCC, predictive analytics means a product with data mining and machine learning capabilities that is education-industry-specific, used to create institution-specific statistical models that indicate the likelihood of specific outcomes occurring in the future. These capabilities incorporate all data identified as relevant to identify patterns and trends. The stronger the pattern and trend, the more likelihood the specific outcome will occur in the future. The likelihoods estimates could also be called prediction models, which incorporate all measured intervening variables and indicate the unique contribution each has on the outcome.
RFI 16-26 Learning Analytics and Degree Mapping
The implementation of analytic tools to measure how students are learning and progressing through particular learning sequences and programmatic tracks, all of which enables informed decision making about individual interventions and broad course-corrections. May incorporate innovative methods to evaluate, report, and track student progress and make iterative improvements to curriculum or program design. Learning analytics are largely concerned with improving learner success.
RFI 19-02 - System Applications and Products in Data Processing (SAP) Training
HCC is issuing this Request for Information to solicit interested firms to provide all information available with regards to their ability to provide the following SAP related courses taught at HCC. It is anticipated that each course will be taught at least once each fall and spring semesters, with the understanding that additional courses may be added.