Karl G Schaefer

US Patent:

20150294598, Oct 15, 2015

Filed:

Apr 14, 2014

Appl. No.:

14/252609

Inventors:

- Phoenix AZ, US
Matt McHenry - Pittsburgh PA, US
Steve Ritter - Pittsburgh PA, US
Sandra Bartle - Jefferson Hills PA, US
Dave Dengler - Pittsburgh PA, US
Elizabeth Karambelkar - Pittsburgh PA, US
John Fitsioris - Pittsburgh PA, US
Steven Krispli - Pittsburgh PA, US
Karl Schaefer - Pittsburgh PA, US

Assignee:

Apollo Education Group, Inc. - Phoenix AZ

International Classification:

G09B 23/04
G09B 5/00

Abstract:

Techniques for teaching geometric proof problems are described. According to one approach, the geometric proof application displays a geometric proof problem and a set of connectable nodes in an initial arrangement. A user then rearranges the set of connectable nodes and connects them using one-way connections to generate a solution. The geometric proof problem is solved if the user-generated solution indicates the correct logical ordering of the set of connectable nodes as determined by the geometric proof application.

US Patent:

20150106704, Apr 16, 2015

Filed:

Jul 8, 2014

Appl. No.:

14/326315

Inventors:

- Phoenix AZ, US
Annalies Vuong - Pittsburgh PA, US
Karl Schaefer - Pittsburgh PA, US

International Classification:

G06F 17/24
G09B 7/00
G06F 3/0484
G06F 17/27
G06F 17/28

US Classification:

715271

Abstract:

Techniques are described for an automated grammar teaching system that displays sentences and allows a user to identify subject-verb agreement errors within the sentences, if any. The sentences may be presented as single sentences or as part of a paragraph. The user may be asked to determine whether the sentences are correct or incorrect, to identify the locations of verbs that should agree with a subject of the sentence, to identify the core noun that determines whether the subject is singular or plural, and to provide a new verb that agrees with the subject. To guide the user, user responses may trigger the display of remediation information, which may include identifying one or more grammar elements of the sentences that are relevant to identifying the subject-verb agreement errors. New sentences in the teaching system may be selected based on historical data maintained for the user.