PATENT CLAIM ANALYSIS

Application Number: 15868547
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["715", "706000"]

Abstract:
A computer-implemented method executed by an adaptive learning system is disclosed that includes the step of estimating learning factors of a learner with respect to a content item. The method generates at least one user interaction activity associated with the content item using the estimated learning factors of the learner. The method displays the at least one user interaction activity on a display.

Claim (Index 18):
A computer program product for providing adaptive learning, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of a system to cause the system to:\n estimate a learner context and a learner cohort of a learner with respect to a content item; and generate at least one user interaction activity associated with the content item using the estimated learner context and the learner cohort of the learner; display the at least one user interaction activity on a display; and disable a system function that can interfere with an ability of the learner to learn the content item, the system function comprising at least one of a network connection and a capability to open other applications.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 86.0
- Lexical Diversity: 1.65
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15603315', '14181058', '15462573', '10632892', '15042427']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3196353147529299
- 35 USC 102 Novelty (BERT): 0.4787067144676281
- Combined Prediction Score: 0.3355424547243998
- Mean Citation Score: 188.26233
- Max Citation Score: 191.3147
- Similarity Product: 133.7809742784381

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

Dataset: test