US 2015/0317906 A1Published application

Contemporaneous capture and tagging of media evidence for education evaluation

AssigneePearson Education, Inc.

InventorsMark Anthony Bosko, Macklin Lamont Johnson, Adam James Rippentrop

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Abstract

An educational evidence and evaluation system for generating media files and context parameters and linking the media files and context parameters to education profiles during evaluation of a subject is disclosed. An example educational evidence and evaluation system comprises a capture engine that captures two media files, a context engine that tags the media files with context parameters, and a linking engine that links the media files and their tagged context parameters to an education profiles of a subject, wherein the evaluation engine links a first media file and its first context parameter to the education profile of a first subject before the capture engine captures a second media file.

Claims20

Dependent claims

a capture engine that:
receives a first input from an evaluator to capture a first media file;
captures the first media file responsive to the evaluator's first input;
sends the first media file for presenting to the evaluator;
stores the first media file;
receives a second input from the evaluator to capture a second media file;
captures the second media file responsive to the evaluator's second input;
sends the second media file for presenting to the evaluator;
and
stores the second media file;
a context engine that:
receives a third input from the evaluator indicating a first context parameter;
tags the first media file with the first context parameter;
stores the first context parameter;
receives a fourth input from the evaluator indicating a second context parameter;
tags the second media file with the second context parameter;
and
stores the second context parameter;
and
a linking engine that:
receives a fifth input from the evaluator indicating a first subject parameter for an education profile of the first subject;
links the first media file and the first context parameter to the education profile of the first subject based on the first subject parameter;
receives a sixth input from the evaluator indicating a second subject parameter for an education profile of the second subject;
and
links the second media file and the second context parameter to the education profile of the second subject based on the second subject parameter;
wherein the evaluation engine links the first media file and the first context parameter to the education profile of the first subject before the capture engine captures the second media file responsive to the evaluator's second input.

23 more elements

A method for generating media files and context parameters and linking the media files and context parameters to subject profiles during evaluation of a subject, the method comprising:

receiving a first input from an evaluator to capture a first media file;
capturing the first media file responsive to the evaluator's first input;
sending the first media file for presenting to the evaluator;
storing the first media file;
receiving a second input from the evaluator to capture a second media file;
capturing the second media file responsive to the evaluator's second input;
sending the second media file for presenting to the evaluator;
storing the second media file;
receiving a third input from the evaluator indicating a first context parameter;
tagging the first media file with the first context parameter;
storing the first context parameter;
receiving a fourth input from the evaluator indicating a second context parameter;
tagging the second media file with the second context parameter;
storing the second context parameter;
receiving a fifth input from the evaluator indicating a first subject parameter for an education profile of the first subject;
linking the first media file and the first context parameter to the education profile of the first subject based on the first subject parameter;
receiving a sixth input from the evaluator indicating a second subject parameter for an education profile of the second subject;
and
linking the second media file and the second context parameter to the education profile of the second subject based on the second subject parameter;
wherein the evaluation engine links the first media file and the first context parameter to the education profile of the first subject before the capture engine captures the second media file responsive to the evaluator's second input.

17 more elements

A non-transitory computer-readable storage medium having instructions stored thereon, which when executed by a computing device, cause the computing device to perform operations comprising:

receiving a first input from an evaluator to capture a first media file;
capturing the first media file responsive to the evaluator's first input;
sending the first media file for presenting to the evaluator;
storing the first media file;
receiving a second input from the evaluator to capture a second media file;
capturing the second media file responsive to the evaluator's second input;
sending the second media file for presenting to the evaluator;
storing the second media file;
receiving a third input from the evaluator indicating a first context parameter;
tagging the first media file with the first context parameter;
storing the first context parameter;
receiving a fourth input from the evaluator indicating a second context parameter;
tagging the second media file with the second context parameter;
storing the second context parameter;
receiving a fifth input from the evaluator indicating a first subject parameter for an education profile of the first subject;
linking the first media file and the first context parameter to the education profile of the first subject based on the first subject parameter;
receiving a sixth input from the evaluator indicating a second subject parameter for an education profile of the second subject;
and
linking the second media file and the second context parameter to the education profile of the second subject based on the second subject parameter;
wherein the evaluation engine links the first media file and the first context parameter to the education profile of the first subject before the capture engine captures the second media file responsive to the evaluator's second input.

17 more elements

Dependencies are inferred from the claim text.