Platform for Automated Scoring of Scientific Visual Models
- Author(s):
- Leong, Chee Wee; Liu, Lei; Ubale, Rutuja; Chen, Lei
- Patent Issued:
- Sep 27, 2022
- Patent Number:
- 11,455,488
- Source:
- ETS Patent
- Document Type:
- Patent
- Family ID:
- 83365717
- Subject/Key Words:
- Patent, Active Patent, Visual Imagery, Automated Scoring, Scoring Rubric, Statistical Modeling, Learning Progressions, Machine Learning
Abstract
Systems and methods are provided for processing a drawing in a modeling prototype. A data structure associated with a visual model is accessed. The visual model is analyzed to extract construct-relevant features, where the construct relevant features are extracted using a drawing object by identifying visual attributes of the visual model and populating a data structure for each object drawn. The visual model is analyzed to generate a statistical model, where the statistical model is generated using a multidimensional scoring rubric by targeting different constructs which compositely estimate learning progression levels, wherein the statistical model is based on features that are principally aligned with one or more of the constructs. An automated scoring is determined based on the construct-relevant features and the statistical model, where the automated scoring is stored in a computer readable medium. and is outputted for display, transmitted across a computer network, or printed.