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Name: SAVE
Type: Organization
Bio: Semantically Enabled Automated Assessment in Virtual Environments
Name: SAVE
Type: Organization
Bio: Semantically Enabled Automated Assessment in Virtual Environments
The Exercise Solution Editor (ESE) is a Java-based application which enables an instructional content author to both view and edit the action trace of a previously demonstrated SAVE exercise solution. After first demonstrating a solution in the EUI, the author uses the ESE to specify annotations that generalize from the specifics of the demonstrated solution to provide a full range of allowed solutions.
Converts a COLLADA (.dae) scene to grouping JavaScript and .s3d XML. Converts source .s3d grouping XML to a JavaScript object.
User interface components for the SAVE Sandbox.
Initial work conducted to transition the SAVE 1.2 frontend to the ADL Sandbox environment (was to be known as SAVE 2.0).
The SAVE 1.2 backend is a Java-based application which handles system communications and data translation. It links various user interfaces, reasoners, and content components into a unified whole. Interactions are made via HTTP using JSON-formatted data passing. The backend also provides access to a repository for storing content, including models and exercises.
Simplifies the use of three.js for basic visualizations of assets. Strongly opinionated about lights, cameras, and scene, leveraging typical defaults.
The SAVE 1.2 frontend is a collection of browser-based tools for both learning and developing exercises for procedural tasks. The learner uses the Exercise User Interface (EUI) to rehearse a skill in a 3D virtual environment. An instructional content author uses the EUI, the Semantic 3D (S3D) annotation tool, and the Content Assembly Tool (CAT) to create interactive scenarios and exercise solutions that provide the skill-rehearsal opportunities to the learner.
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