The invention discloses an online mobile Chinese learning resource platform, comprising a client end and a server, the client end is in communication connection with the server, the server being used to store teaching resource and user information, the server comprising children park system, online testing system, online learning system, online evaluation system and Chinese online reading international invitation activity system, online mobile Chinese learning international symposium system, Chinese online fast reading essay exhibition review after reading Yao Zongyi's work, classic masterpiece silent typing etc. all platform system. The system can be integrated, can be dedicated feasible and effective, spreadable, can be promoted, and sustainable.

Embodiments described herein provide methods and systems for presenting a document and generating a human-AI summary. A system provides a user with a selection of an amount of time to spend reading the document, or a list of questions from which the user may select which questions they would like answered by reading the document. The system highlights sections of the document according to the user selection. Implicit and explicit user data such as dwell times, user highlights, and user notes, are collected while displaying the document. A human-AI summary is generated based on the document and the user data.

Embodiments described herein provide methods and systems for presenting a document and generating a human-AI summary. A system provides a user with a selection of an amount of time to spend reading the document, or a list of questions from which the user may select which questions they would like answered by reading the document. The system highlights sections of the document according to the user selection. Implicit and explicit user data such as dwell times, user highlights, and user notes, are collected while displaying the document. A human-AI summary is generated based on the document and the user data.

A system includes a print unit configured to print an answer sheet including a plurality of free-form answer fields and a plurality of marking fields, the plurality of marking fields being configured to mark answers written in the respective plurality of free-form answer fields, a reading unit configured to read the answer sheet printed by the print unit, a marking unit configured to mark the answers based at least on description of the plurality of marking fields included in the answer sheet read by the reading unit, and an aggregation unit configured to aggregate results of marking made by the marking unit.

A system includes a print unit configured to print an answer sheet including a plurality of free-form answer fields and a plurality of marking fields, the plurality of marking fields being configured to mark answers written in the respective plurality of free-form answer fields, a reading unit configured to read the answer sheet printed by the print unit, a marking unit configured to mark the answers based at least on description of the plurality of marking fields included in the answer sheet read by the reading unit, and an aggregation unit configured to aggregate results of marking made by the marking unit.

Disclosed is a method and system to assure ownership of user sourced materials that conform to a user selectable and/or a machine selectable format. The model consists of software driven behaviors, user selectable formats, and human understandable data. This is a system of systems model where servers conduct organization, processing, and storage. An application resides on the user's electronic processing device, and through a biased data model and determination system, relevant, high quality, and interactive learning materials are matched to a user's specification. The system of systems further comprises of servers that conduct processing and organization in order to provide security, ownership, and synchronization of the originators data and media encompassed with user specified formatting and behavior. Further, the system of systems includes synchronization across multiple users and systems both by electronic processing device and time.

Disclosed is a method and system to assure ownership of user sourced materials that conform to a user selectable and/or a machine selectable format. The model consists of software driven behaviors, user selectable formats, and human understandable data. This is a system of systems model where servers conduct organization, processing, and storage. An application resides on the user's electronic processing device, and through a biased data model and determination system, relevant, high quality, and interactive learning materials are matched to a user's specification. The system of systems further comprises of servers that conduct processing and organization in order to provide security, ownership, and synchronization of the originators data and media encompassed with user specified formatting and behavior. Further, the system of systems includes synchronization across multiple users and systems both by electronic processing device and time.

A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.

A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new dataset and recompiling the neural network to fit the model dataset based on a learning algorithm.

A system for managing innovation challenges includes a computing apparatus having a processor and a memory with computer readable program code, wherein the processor under control of the computer readable program code is configured to implement, a content management system that operates to automatically generate an innovation challenge for students based on a common template that includes student eligibility requirements, a user management system that operates to collect user information, obtains parental or guardian consent, and determines individual student eligibility for specific innovation challenges, a submission management system that operates to automate ingestion, display, storage, and judging of challenge entry submissions, and a dashboard display that operates to manage innovation challenge participation.