STUDY SERVICE SYSTEM FOR COLLECTIVE INTELLIGENCE USING SNS AND METHOD THEREOF

摘要

PURPOSE: learning service system and method are provided, so that user easily study in it is online including social networking service (SNS) by select permeability to including answering being inscribed database from paper and collective intelligence is utilized by incorrect response reason and being easy to produce incorrect answer notebook and by cutting problem image there is constant line quantity and connect incorrect (PDF) the notebook transplant document format file of answer and web, smart phone or tablet PC for incorrect notebook. ;CONSTITUTION: a kind of generation of PDF papers passes through database. Front end and terminal searching pass through image conversion module (100) and the problematic image of terminal conversion, an image is based on by searching for the terminal according to problem number, it includes that a kind of terminal corresponds to a guidance endorsement image, which is cut constant line quantity by problem cutting module (200) from image conversion module for the inquiry. Attribute information is given with cutting problem image by from by which problem cutting module question attributes module (300). If filled with image where main line concatenation problem, these cutting constant line quantity in one page. Learning service system provides a function; Study is loaded into the article notebook that smart phone or a piece of PC are checked and approved according to suitable program using text viewing areas character according to for paper. It completes on server; Seeing after Explanation-based Learning And Its; Video checks the component for carrying out deep learning, and this dry do not understand is seen with explanation; Which questions and answers of the collective intelligence exchanges information and by SNS, this to do puzzled depth and learn so as to resolution component. ;The 2013 of copyright KIPO submissions;[Reference numerals] (100) image conversion module; (200) problem cutting module; (300) attribute module of problem; (AA) PDF paper; (BB) it converts; (CC) DB is stored; (DD) learner ' paper; (EE) problem 1; (FF) problem 2; N (GG) problem