PATENT CLAIM ANALYSIS

Application Number: 16127193
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["434", "238000"]

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. In some embodiments, the system may display comparison presentation category cells that allow for direct, visual comparison of metric values from two different sets of quantized metric data from two different populations and thus enable instructors to improve the educational experience.

Claim (Index 21):
An academic intervention system, comprising:\n a data store to store a plurality of activities associated with an educational course in which each of a population of prior students participated, and a metric value assigned to each prior student for each activity; a quantization subsystem to quantize the metric values of each respective activity into a set of quantized bins, wherein each quantized bin is associated with a metric value range and includes a count of the number of prior students whose metric values for the respective activity are within the metric value range; a presentation subsystem to display a quantized metric presentation (QMP) of the population of prior students on an electronic display, the QMP comprising:\n a listing of the plurality of activities along a first axis of a table, and \n the count of each of the quantized bins of each activity along a second axis of the table; \n an input selection module to receive a user input selecting a subset of the population of prior students; a filtering subsystem to cause the electronic display to display a category-filtered presentation table comprising a modified QMP by adjusting the count of each quantized bin along the second axis to include only the user-selected subset of prior students; a behavior subsystem to identify a learning behavior identified in terms an activity and metric value that correlate with the user-selected subset of prior students, wherein the learning behavior is identified based on a quantized bin of an activity with a count exceeding a threshold value in the category-filtered presentation table; a current-student analysis subsystem to identify a subset of current students that exhibit the identified learning behavior based on metric values assigned to the subset of current students for the activity associated with the identified learning behavior; and an action subsystem to implement at least one intervention action for the identified subset of current students exhibiting the identified learning behavior correlated with the user-selected subset of prior students.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 1.81522
- Patent Class: 434.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10991133', '14929321', '15466202', '13872519', '14184197']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2872951505517071
- 35 USC 102 Novelty (BERT): 0.467743958524729
- Combined Prediction Score: 0.3053400313490093
- Mean Citation Score: 127.4049132
- Max Citation Score: 135.3416
- Similarity Product: 89.84964436216354

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test