Platform for automated scoring of scientific visual models

A processor implemented system for processing a drawing in a modeling prototype, comprising:

• one or more data processors;
• a computer-readable medium encoded with instructions for commanding the one or more data processors to execute steps of a process, the steps including:
• accessing a data structure associated with a visual model;
• analyzing the visual model to extract construct-relevant features, wherein 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;
• analyzing the visual model to generate a statistical model, wherein 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;
• determining an automated scoring based on the construct-relevant features and the statistical model, wherein the automated scoring is stored in a computer readable medium and is outputted for display on a graphical user interface, transmitted across a computer network, or printed.

A non-transitory computer-readable medium encoded with instructions for commanding one or more data processors to execute steps of a method of processing a drawing in a modeling prototype, the steps comprising:

• accessing a data structure associated with a visual model;
• analyzing the visual model to extract construct-relevant features, wherein 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;
• analyzing the visual model to generate a statistical model, wherein 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;
• determining an automated scoring based on the construct-relevant features and the statistical model, wherein the automated scoring is stored in a computer readable medium and is outputted for display on a graphical user interface, transmitted across a computer network, or printed.