Abstract: Identifying material with which students are struggling can guide educators’ decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: In some implementations, a computing device can present accessory state information. For example, the computing device can receive accessory state information from various accessories and present status items representing the current state of the accessories. The status items can be prioritized according to classifications assigned to accessories and/or accessory state information. The status items can be filtered based on a role assigned to the user of the computing device. Additional implementations and details are described in the paragraphs that follow.

Abstract: In some implementations, a computing device can present accessory state information. For example, the computing device can receive accessory state information from various accessories and present status items representing the current state of the accessories. The status items can be prioritized according to classifications assigned to accessories and/or accessory state information. The status items can be filtered based on a role assigned to the user of the computing device. Additional implementations and details are described in the paragraphs that follow.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: In some implementations, a computing device can automatically generate a service group. For example, accessories can be automatically grouped together based on various criteria (such as historical usage patterns). The accessories in the service group can be managed and/or controlled as if the accessories were a single accessory or entity. In some implementations, a computing device can intelligently select service group controls for presentation to the user so that the user can control the service group. For example, the computing device can select which service group controls to present and the order in which to present the controls based on features that are common among different accessories in the service group.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: A student instruction system may include a graphic user interface to facilitate student instruction, marker placement to form answers, and automatic grading. In various embodiments, an instructional unit subsystem may display instructional units, challenge problems, and/or markers that can be user-manipulated to form answers to the challenge problems. Teachers or other graders can create grade rules defined for selective application to the student-placed markers. The system and methods facilitate the display and placement of markers on video annotation instructional units and text annotation instructional units.

Abstract: Systems and methods are described herein to display and manage royalty distributions for electronic book (eBooks) assembled from multiple instructional units owned by a plurality of owners. In various embodiments, a curation fraction value (CFV) subsystem may calculate a CFV for an assembly owner of the assembled eBook. An owner value profile (OVP) subsystem may generate an OVP data object for the assembled eBook that associates each identified unit owner with a value sum, based on computed value units of the instructional units owned by each respective unit owner. A royalty distribution subsystem may compute a distribution of royalties to the assembly owner and the various unit owners. A share of the royalty for a unit owner may be recursively sub-divided for distribution to nested assembly owners and nested unit owners when one of the instructional units is itself an eBook formed from multiple nested instructional units.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: An assessment system may present one or more string interaction problems to each of a plurality of students. Students may provide answers to string interaction problems in the form of string edits that, for example, identify deletions, additions, or revisions to a text string of each respective string interaction problem. The assessment system may normalize each string edit by converting each string edit into a student range edit. Each student range edit defines a replacement text string (which could be an empty text string) to be inserted within a range of reference locations relative to an original text string of the string interaction problem (which likewise could be an empty text string). An assessor may associate feedback objects with student range edits that match or, in some embodiments, are within a predetermined distance of an assessor-defined range edit.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the near infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of process the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: In some implementations, a computing device can present accessory state information. For example, the computing device can receive accessory state information from various accessories and present status items representing the current state of the accessories. The status items can be prioritized according to classifications assigned to accessories and/or accessory state information. The status items can be filtered based on a role assigned to the user of the computing device. Additional implementations and details are described in the paragraphs that follow.

Abstract: In some implementations, a computing device can automatically generate a service group. For example, accessories can be automatically grouped together based on various criteria (such as historical usage patterns). The accessories in the service group can be managed and/or controlled as if the accessories were a single accessory or entity. In some implementations, a computing device can intelligently select service group controls for presentation to the user so that the user can control the service group. For example, the computing device can select which service group controls to present and the order in which to present the controls based on features that are common among different accessories in the service group.

Abstract: In some implementations, a computing device can present accessory state information. For example, the computing device can receive accessory state information from various accessories and present status items representing the current state of the accessories. The status items can be prioritized according to classifications assigned to accessories and/or accessory state information. The status items can be filtered based on a role assigned to the user of the computing device. Additional implementations and details are described in the paragraphs that follow.

Abstract: In some implementations, a computing device can automatically generate a scene. For example, a scene can be a collection of accessories and corresponding accessory states. When the scene is invoked, the computing device can cause the accessories associated with the scene to assume the corresponding accessory states. The computing device can automatically determine the accessories and/or corresponding accessory states for a scene based on historical patterns of use represented in historical accessory state data. The computing device can generate a scene based on a snapshot of current accessory states for the accessories associated with the scene.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the near infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of process the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: Various systems and methods are described for the selective visual display of geometric shapes based on a rule-based geometric selection inputs. For example, an image may be displayed with multiple overlaid geometric shapes provided by various prior users of system. An operator may create successive geometric shapes that intersect or otherwise provide successive selection bases for selecting successive subsets of the overlaid geometric shapes. Data objects can be successively provided to successive selection of the overlaid geometric shapes. In one specific application of the systems and methods for selective visual display, a system allows for the creation, administration, and evaluation of assessments, such as quizzes and tests. According to various embodiments, assessors create challenge problems that can be answered by assessees forming geometric shapes. Assessors can evaluate and assign feedback objects to multiple overlaid geometric shape answers at once with selective visualization feedback.