PATENT CLAIM ANALYSIS

Application Number: 15908384
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["434", "335000"]

Abstract:
An intelligent adaptive integrated learning environment to optimize the learning process to a particular user. The environment is capable of providing assessment and targeted feedback.

Claim (Index 13):
The method of  claim 1 , wherein the method is implemented on a programmable computer system with digital storage for storing the database of knowledge elements, a processor for executing the steps of the method and input and output devices supporting communication between the person and the system and wherein I={i 1 , . . . , i n } is the set of all information elements and A={a 1 , . . . , a m } the set of all assessment elements and a state of the system is the set S, S={I 1 , . . . , I n , A 1 , . . . , A m }, where I k  is the number of times an information element i k  was observed during a run of the system and A j  is the value of the outcome of a particular assessment element and wherein every time a value of an element of S is changed, the system makes a transition into another state, which may have previously been observed, given a particular state S of a system run, an objective function F(S)\u22650 may be defined which corresponds to the progress of a student (i.e., an amount of knowledge or mastered subjects).

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.17391
- Patent Class: 434.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14210040', '14861742', '14912988', '15830670', '09935219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3252597594749125
- 35 USC 102 Novelty (BERT): 0.4853376407263782
- Combined Prediction Score: 0.3412675476000591
- Mean Citation Score: 151.91902
- Max Citation Score: 170.77051
- Similarity Product: 105.42757349619272

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

Dataset: test