Invention Application
- Patent Title: SYSTEMS AND METHODS FOR ASSESSING AND IMPROVING STUDENT COMPETENCIES
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Application No.: US16277619Application Date: 2019-02-15
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Publication No.: US20190251477A1Publication Date: 2019-08-15
- Inventor: Lucilla Crosta , Riccardo Cattaneo , Giovanni Bettinazzi , Andrea Solazzo , Luca Butera
- Applicant: Smarthink Srl
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06Q50/20 ; G06K9/62 ; G06K9/00

Abstract:
A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.
Public/Granted literature
- US11551570B2 Systems and methods for assessing and improving student competencies Public/Granted day:2023-01-10
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