Abstract: A system for identifying academic content relevant to a user, from academic content hosted by a knowledge base, based on character(s) entered, is disclosed. The system is configured for receiving the character(s) entered by the user to form a search query. The system further identifies intent of the search query for re-writing the search query to instantiate a set of filters. The system is configured for applying one or more multilevel protocols on the search query for retrieving a plurality of content blocks and further assigning a score to each of the content blocks retrieved for disambiguating the content blocks. The system is configured for retrieving a node of the knowledge base associated with the disambiguated content block and retrieving academic content hosted by the node and associated widgets instantiated with content relevant to the user.

Abstract: A method and system for analysing behaviour of a plurality of users for recommending a change in at least one behavioural attribute to at least one of the plurality of users for changing at least one effect of the behavioural attribute along with an estimated improvement in performance is disclosed. The method comprises, analysing activity data of the plurality of users and a context of the activity for determining one or more behavioural attributes of each of the plurality of users, assigning a value to each behavioural attribute of each of the plurality of users, determining a percentile score for each users for each of the one or more behavioural attributes and recommending, to at least one user, a change in at least one behavioural attribute and a magnitude of change and a direction of change, based on the percentile score correlated with better performance.

Abstract: A system for recommending content for use, by a learner is provided. The system includes a processor in communication with a memory. The memory stores a knowledge base. The processor is configured for identifying a subset of the knowledge base, based on the academic context of the learner and for identifying a first set of content tagged to interlinked nodes of the subset of knowledge base. The processor is configured for identifying a second set of content from the first set of content, based on the behavioral context and the characteristics of the learner. The processor is configured for identifying a learning path for the learner, based on a learning strategy for the learner and a score assigned to a concept. The processor is configured for structuring the identified second set of content for recommending to the learner, based on the identified learning path.

Abstract: A system and a method for generating a question paper are disclosed. Also disclosed is a method and a system for measuring the quality of a question paper. In one embodiment, the method for generating the question paper comprises, a) analysing reference question paper(s) b) generating a template comprising characteristic(s) for the question paper to be generated, and c) generating the question paper by selecting question(s) from a database so as to match the characteristic(s) of the template. Further, the characteristics of any given question paper or the generated question paper are compared with the characteristics in the generated template to determine a quality score. A system for implementing the disclosed methods is also disclosed. Further, a method for measuring effectiveness of a quality score and a method for interpreting a determined quality score is disclosed.

Abstract: A system for generating a second set of similar assessment papers, from a first set of assessment papers is disclosed. The system includes an identification module, a test paper similarity module and threshold indicator module. The identification module is configured for identifying a plurality of meta-tagged assessment papers based on a numerical representation of each assessment paper of the first set of assessment papers. The test paper similarity module is configured for comparing the numerical representation of each of the identified assessment papers with the numerical representations of each of the other identified assessment papers, for assigning a numerical score to each such possible pair of the identified assessment papers. The threshold indicator module is configured for clustering the identified assessment papers into the second set of similar assessment papers having the numerical score greater than a predetermined threshold, for generating the second set of similar assessment papers.

Abstract: In one embodiment, a set of training data consisting of inliers may be obtained. A supervised classification model may be trained using the set of training data to identify outliers. The supervised classification model may be applied to generate an anomaly score for a data point. It may be determined whether the data point is an outlier based, at least in part, upon the anomaly score.

Abstract: The present invention provides a self-learning/adapting system and method that uses novel user-targeted behavioral interventions thereby allowing a user to continually improve her scoring ability by generating challenges and remedial spot recommendations at least based on user's previous attempts and based on a plurality of factors, including but not limited to knowledge or aptitude level of user, attitudinal, behavioral, and test-taking skill, thus allowing the user to continuously improve her score in a limited time frame.

Abstract: A system and a method for generating a question paper are disclosed. Also disclosed is a method and a system for measuring the quality of a question paper. In one embodiment, the method for generating the question paper comprises, a) analysing reference question paper(s) b) generating a template comprising characteristic(s) for the question paper to be generated, and c) generating the question paper by selecting question(s) from a database so as to match the characteristic(s) of the template. Further, the characteristics of any given question paper or the generated question paper are compared with the characteristics in the generated template to determine a quality score. A system for implementing the disclosed methods is also disclosed. Further, a method for measuring effectiveness of a quality score and a method for interpreting a determined quality score is disclosed.

Abstract: A system for recommending content for use, by a learner is provided. The system includes a processor in communication with a memory. The memory stores a knowledge base. The processor is configured for identifying a subset of the knowledge base, based on the academic context of the learner and for identifying a first set of content tagged to interlinked nodes of the subset of knowledge base. The processor is configured for identifying a second set of content from the first set of content, based on the behavioral context and the characteristics of the learner. The processor is configured for identifying a learning path for the learner, based on a learning strategy for the learner and a score assigned to a concept. The processor is configured for structuring the identified second set of content for recommending to the learner, based on the identified learning path.

Abstract: A system for identifying academic content relevant to a user, from academic content hosted by a knowledge base, based on character(s) entered, is disclosed. The system is configured for receiving the character(s) entered by the user to form a search query. The system further identifies intent of the search query for re-writing the search query to instantiate a set of filters. The system is configured for applying one or more multilevel protocols on the search query for retrieving a plurality of content blocks and further assigning a score to each of the content blocks retrieved for disambiguating the content blocks. The system is configured for retrieving a node of the knowledge base associated with the disambiguated content block and retrieving academic content hosted by the node and associated widgets instantiated with content relevant to the user.

Abstract: A method and system for analysing behaviour of a plurality of users for recommending a change in at least one behavioural attribute to at least one of the plurality of users for changing at least one effect of the behavioural attribute along with an estimated improvement in performance is disclosed. The method comprises, analysing activity data of the plurality of users and a context of the activity for determining one or more behavioural attributes of each of the plurality of users, assigning a value to each behavioural attribute of each of the plurality of users, determining a percentile score for each users for each of the one or more behavioural attributes and recommending, to at least one user, a change in at least one behavioural attribute and a magnitude of change and a direction of change, based on the percentile score correlated with better performance.

Abstract: The present invention provides a self-learning/adapting system and method that uses novel user-targeted behavioral interventions thereby allowing a user to continually improve her scoring ability by generating challenges and remedial spot recommendations at least based on user's previous attempts and based on a plurality of factors, including but not limited to knowledge or aptitude level of user, attitudinal, behavioral, and test-taking skill, thus allowing the user to continuously improve her score in a limited time frame.

Abstract: In one embodiment, a set of training data consisting of inliers may be obtained. A supervised classification model may be trained using the set of training data to identify outliers. The supervised classification model may be applied to generate an anomaly score for a data point. It may be determined whether the data point is an outlier based, at least in part, upon the anomaly score.