Interface for individual study

Abstract

The invention provides a graphic user interface used in a study system of plural micronization and structuration-based knowledge points, which is provided with a graphic window, wherein the graphic window comprises a plurality of layers of selectable elements used for guiding a user to select the knowledge points to learn. Once a knowledge point is selected by the user, the graphic window displays the information content of the selected knowledge point in a graphic display area for the user to learn and provides a feedback such as an answer. Once receiving a user feedback input by the user through a user interactive element, the graphic window displays an assessment result fed back by the user. The additional selectable elements can be used for selecting the type of the information content to be displayed (such as knowledge content and assessment content). The graphic user interface also adopts an additional graphic window for facilitating the query and review of the user and displaying the study statistical data of the user.

Description

technical field [0001] The present invention relates to computer systems, and more particularly to computer-based learning systems and methods for personalizing learning. Background technique [0002] With the popularity of the Internet, more and more Internet-based educational websites have appeared, including many websites for learning purposes. However, the knowledge content used for learning in these websites is often a simple list of information and materials (such as arbitrarily arranged or arranged according to grades according to the traditional syllabus, etc.), lacking systematic induction and organization that conforms to the characteristics of knowledge content. Moreover, the existing network-based education system uses the network only as a means of convenient access, and does not fully utilize the rapidly developing and increasingly perfect computer system and the technical advantages of the network. [0003] Traditional teaching materials, such as teaching pla...

AI Technical Summary

Problems solved by technology

First, these instructional materials, and the learning systems and methods that accompany them, do not provide truly personalized learning

Second, they cannot effectively facilitate user-to-user interaction

third, they also do not take full advantage of the dynamic nature of network-based computer systems

fourth, they also do not take full advantage of the intelligence-gathering and self-learning capabilities of network-based computer systems

This not only causes a waste of resources, but also greatly reduces the user's interest in learning, makes the user discouraged, fatigued, and even causes the user's burnout and aversion to learning

[0007] Although some educational websites have tried to solve the above problems by providing a certain degree of user customization, such as providing each user with slightly different learning materials, these educational websites are still largely based on the traditional education method, that is, using Static teaching content still does not make full use of the various advantages of Web2.0

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