The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 01, 2014

Filed:

May. 13, 2011
Applicants:

Sharath Srinivas, Webster, NY (US);

Eric Scott Hamby, Webster, NY (US);

Robert M. Lofthus, Webster, NY (US);

Inventors:

Sharath Srinivas, Webster, NY (US);

Eric Scott Hamby, Webster, NY (US);

Robert M. Lofthus, Webster, NY (US);

Assignee:

Xerox Corporation, Norwalk, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09B 3/00 (2006.01); G06F 17/30 (2006.01); G09B 7/02 (2006.01); G09B 7/00 (2006.01); G09B 7/04 (2006.01); G09B 5/14 (2006.01); G09B 7/08 (2006.01);
U.S. Cl.
CPC ...
G06F 17/3071 (2013.01); G09B 7/02 (2013.01); G09B 7/00 (2013.01); G09B 7/04 (2013.01); G09B 5/14 (2013.01); G09B 7/08 (2013.01); Y10S 707/99944 (2013.01); Y10S 707/99945 (2013.01); Y10S 706/927 (2013.01); G06F 17/30994 (2013.01); G06F 17/3025 (2013.01);
Abstract

Methods and systems of clustering a plurality of students are disclosed. A computing device may receive assessment data for each of a plurality of students. The assessment data includes information pertaining to each of a plurality of questions in an assessment. The computing device may also receive a number of clusters into which to organize the plurality of students. The computing device may determine a similarity value between each pair of students in the plurality of students based on the assessment data associated with each student. The computing device may organize the plurality of students into the number of clusters based on the similarity values.


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