Description
The application of machine learning to an extensive, continually expanding dataset from Embry-Riddle Aeronautical University’s Prescott flight training program shows significant promise for enhancing the quality and effectiveness of instruction—measured by reduced time to achieve tasks— and potentially lowering costs for both students and the institution.
Prescott Synchronized Training and Learning Environment: PSTLE - An AI ML Testbed
The application of machine learning to an extensive, continually expanding dataset from Embry-Riddle Aeronautical University’s Prescott flight training program shows significant promise for enhancing the quality and effectiveness of instruction—measured by reduced time to achieve tasks— and potentially lowering costs for both students and the institution.