US 11,862,041 B2
Integrated student-growth platform
Mark Angel, Las Vegas, NV (US); Robert Zieroth, Wisconsin Rapids, WI (US); Pete Jungwirth, Wisconsin Rapids, WI (US); Eric Stickney, Madison, WI (US); Diana Blythe, Portland, OR (US); and Gena Kukartsev, Vancouver, WA (US)
Assigned to RENAISSANCE LEARNING, INC., Wisconsin Rapids, WI (US)
Filed by Renaissance Learning, Inc., Wisconsin Rapids, WI (US)
Filed on Feb. 14, 2022, as Appl. No. 17/671,205.
Application 17/671,205 is a continuation of application No. 17/086,733, filed on Nov. 2, 2020, granted, now 11,250,721.
Application 17/086,733 is a continuation of application No. 15/483,976, filed on Apr. 10, 2017, granted, now 10,825,348, issued on Nov. 3, 2020.
Claims priority of provisional application 62/320,595, filed on Apr. 10, 2016.
Prior Publication US 2022/0238033 A1, Jul. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G09B 7/06 (2006.01); G09B 5/06 (2006.01); G09B 5/12 (2006.01)
CPC G09B 7/06 (2013.01) [G09B 5/065 (2013.01); G09B 5/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
a computing platform including a processor coupled to a memory with an executable code, the executable code causing the processor to generate control interface actions, comprising:
providing an observation interface, by the processor, for an observer, including an observation region with at least one field receiving input on observation data for a target student and a resource region for displaying one or more projected tasks and electronic resources identified for the target student;
providing the observation interface for display on a display device of a computing device of an observer of the target student;
receiving an input via displayed observation interface, the input including assessment data reflecting an observational assessment of the target student based on several criteria including 1) time elapsed since a last assessment for the target student based on a standard by a governing entity, 2) computer-adapted testing data performed on the target student, and 3) student-growth percentile data compiled for the target student;
prescribing one or more resources based on an observational assessment by the observer;
populating the resource region of the observation interface with a plurality of projected tasks and the one or more resources based on positioning of the target student as determined by a learning-progression engine at an entry point for a curriculum identified for the target student based on the observational assessment, the projected tasks created by mapping a specific curriculum by using a universal skills pool;
receiving resource data from the one or more resources prescribing one or more recommended electronic instructional resources that provide learning according to a mapped curriculum;
updating the resource region of the observation interface using the resource data to include a representation of each of the one or more recommended electronic instructional resources, the resource region further including a user-selectable preview element, operable to preview an electronic resource from the one or more recommended electronic instructional resources, and a user-selectable assignment element, operable to assign at least one electronic resource displayed in the resource region of the observation interface, to the target student for completion;
receiving a selection by the observer of the user-selectable assignment element to assign at least one electronic resource of the one or more recommended electronic instructional resources included in the resource region to the target subject for completion;
responsive to receiving the selection, designating an assignment of the at least one electronic resource to the target student for completion within a predetermined time; and
recording assignment data reflecting the assignment of the at least one electronic resource in a non-transitory data store in association with the target student.