Analyzing presentations to structure metadata for generating questions directed to the content of the presentations

A system for generating a series of questions from a presentation comprising:

• a receiver having a connection for entry of data from a presentation session;
• a converter for converting information materials into text based data elements;
• a metadata engine including memory containing a set of instructions to be executed by a processor for transforming text based data elements into plurality of quiz metadata objects, the quiz metadata objects including context from topics of interest corresponding to a knowledge database obtained using a web crawler according to authorized data on web pages, and a priority scorer for comparing, the text based data elements to the knowledge base directed to topics of interest using an artificial neural network to score the text based data elements for priority in relevance to the presentation session wherein the priority scorer includes a crawler for matching text from the text based data elements to the knowledge base directed to topics of interest, wherein said priority is correlated to highest degrees of said matching text, and said metadata engine includes a hardware processor for executing instructions saved on memory of the system for transforming the text based data elements having the score above a threshold value into said plurality of quiz metadata objects using a syntactical analysis of a portion of the information selected from the group consisting of a topic of an object being analyzed, a context of the object being analyzed, keywords of a topic of an object being analyzed, an accuracy score of the object, according to the knowledge base and combinations thereof;
• and
• a question generating quiz questions in order of the priority from the plurality of quiz metadata objects using the context and a set of templates of question types.