US 12,307,920 B2
Display and report generation platform for testing results
Matthew Jensen Hays, Los Angeles, CA (US); Nicholas Hjort, Parker, CO (US); Robert Burgin, Boulder, CO (US); and Charles J. Smith, Encinitas, CA (US)
Assigned to Knowledge Factor, Inc., Boulder, CO (US)
Filed by Knowledge Factor, Inc., Boulder, CO (US)
Filed on Mar. 12, 2024, as Appl. No. 18/603,178.
Application 18/603,178 is a continuation of application No. 17/975,271, filed on Oct. 27, 2022, granted, now 12,087,181.
Application 17/975,271 is a continuation of application No. 17/026,731, filed on Sep. 21, 2020, granted, now 11,514,808, issued on Nov. 29, 2022.
Application 17/026,731 is a continuation of application No. 15/853,104, filed on Dec. 22, 2017, granted, now 10,803,765, issued on Oct. 13, 2020.
Prior Publication US 2024/0221530 A1, Jul. 4, 2024
Int. Cl. G09B 7/077 (2006.01); G09B 5/02 (2006.01); G09B 5/06 (2006.01); G09B 7/08 (2006.01); G06F 3/0482 (2013.01); G06F 3/04842 (2022.01); G06F 16/25 (2019.01)
CPC G09B 7/077 (2013.01) [G09B 5/02 (2013.01); G09B 5/06 (2013.01); G09B 7/08 (2013.01); G06F 3/0482 (2013.01); G06F 3/04842 (2013.01); G06F 16/254 (2019.01)] 24 Claims
OG exemplary drawing
 
1. A digital tutoring system comprising:
a user interface configured to present a learning module comprising a series of questions and answers on a plurality of successive question/answer screens of the user interface, wherein at least one of the plurality of successive question/answer screens comprises a plurality of inputs,
and wherein each of the plurality of inputs comprises one of an answer input to a question or a confidence input corresponding to a user's level of confidence in one or more answer inputs to a respective question,
and wherein a first input action associated with an answer input indicates a user's belief that the associated answer is correct, and wherein a second input action associated with a confidence input indicates a user's level of confidence that one or more answer inputs to a respective question are correct; and
wherein the digital tutoring system further comprises an artificial intelligence (AI) guidance system configured to:
process a plurality of first input actions and second input actions of a user progressing through the learning module to determine a confidence pattern of the user with respect to the learning module, and
generate a personalized prompt based at least in part on the confidence pattern to guide the user in real-time through the learning module.