Smart-learning and knowledge retrieval system

An electronic device employing a smart-learning and knowledge retrieval system for providing adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker, the electronic device comprising:

• a non-transitory computer readable storage medium configured to store computer program instructions defined by the smart-learning and knowledge retrieval system;
• at least one processor communicatively coupled to the non-transitory computer readable storage medium, the at least one processor configured to execute the defined computer program instructions;
• a display screen configured to display a graphical user interface provided by the smart-learning and knowledge retrieval system;
• and
• the smart-learning and knowledge retrieval system comprising:
• an ingestion module configured to ingest data from a plurality of sources in a plurality of formats;
• a merge module configured to merge the ingested data into a knowledge base to create an ontology, wherein the ingested data is merged into the knowledge base based on strengths of terms found in the plurality of sources from which the data is ingested, and wherein the strengths of the terms are computed by a computation module;
• an assimilation module configured to assimilate the merged data to generate experiences from the assimilated data;
• a data transfer module configured to receive a query from a knowledge seeker through one of a plurality of interfaces via the graphical user interface on the electronic device;
• a retrieval module configured to retrieve one of a generated experience and an experience created based on an artificially intelligent understanding of the received query;
• the data transfer module further configured to send the retrieved experience to the knowledge seeker in an immersive format via one or more of the plurality of interfaces for the knowledge seeker to interact with the sent experience;
• the data transfer module further configured to receive feedback from the knowledge seeker via the one of the plurality of interfaces in response to the sent experience;
• the computation module further configured to compute a score for the knowledge seeker continually based on each of the received query and the received feedback, thereby artificially learning unique characteristics of the knowledge seeker for measuring an ability of the knowledge seeker to learn and to show continued interest in an e-learning course;
• and
• an intervention module configured to generate interventions and improved experiences to provide adaptive and personalized e-learning to the knowledge seeker based on the computed score for the knowledge seeker.

A non-transitory computer readable storage medium having embodied thereon, computer program codes comprising instructions executable by at least one processor for providing adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker, the computer program codes comprising:

• a first computer program code for ingesting data from a plurality of sources in a plurality of formats;
• a second computer program code for merging the ingested data into a knowledge base to create an ontology, wherein the ingested data is merged into the knowledge base based on computed strengths of terms found in the plurality of sources from which the data is ingested;
• a third computer program code for assimilating the merged data to generate experiences from the assimilated data;
• a fourth computer program code for receiving a query from a knowledge seeker through one of a plurality of interfaces;
• a fifth computer program code for retrieving one of a generated experience and an experience created based on an artificially intelligent understanding of the received query;
• a sixth computer program code for sending the retrieved experience to the knowledge seeker in an immersive format via one or more of the plurality of interfaces for the knowledge seeker to interact with the sent experience;
• a seventh computer program code for receiving feedback from the knowledge seeker via the one of the plurality of interfaces in response to the sent experience;
• an eight computer program code for computing a score for the knowledge seeker continually based on each of the received query and the received feedback, thereby artificially learning unique characteristics of the knowledge seeker for measuring an ability of the knowledge seeker to learn and to show continued interest in an e-learning course;
• and
• a ninth computer program code for generating interventions and improved experiences to provide adaptive and personalized e-learning to the knowledge seeker based on the computed score for the knowledge seeker.