Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

xAPI-oriented personalized learning effect analysis system and method

An analysis method and analysis system technology, applied in the field of personalized learning effect analysis system

Inactive Publication Date: 2018-10-23
BEIHANG UNIV
View PDF1 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, for complex learning scenarios that require the use of multiple knowledge points, we also need to find a suitable model to track and evaluate students' learning ability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • xAPI-oriented personalized learning effect analysis system and method
  • xAPI-oriented personalized learning effect analysis system and method
  • xAPI-oriented personalized learning effect analysis system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0100] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be described in detail below.

[0101] xAPI (experience API, xAPI for short) is a data standard describing learning behavior and learning content, which can be used for communication in different learning behavior storage systems. The data format of xAPI is as follows figure 2 shown. An xAPI data contains subject, predicate and object. The subject represents the initiator of the event, the predicate represents the specific action of the event, and the object represents the recipient of the event. xAPI operates according to the concept of Activity Streams: Students interact with other students or other content, and xAPI will record the time, content and actions of these actions. If it is necessary to record these contents, the user can send the xAPI to the learning behavior storage system, and the learning behavior ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a xAPI-oriented personalized learning effect analysis system and method. The xAPI-oriented personalized learning effect analysis system comprises a students' cognitive abilityevaluation module, a learning comprehensive ability evaluation module and a feedback module. The method is based on the xAPI data standard, and extracts students' learning behavior data from the xAPI, evaluates students' learning ability by utilizing a mathematical model training learning method, processes students' learning behavior data by using a data statistics method, and realizes personalized display. The system and the method can determine the learning ability and the comprehensive ability of students according to the students' answering behaviors, can not only give a fair score according to the students' learning behaviors, but also can instruct the teacher to find the weak part of the students' knowledge, and promptly reflect the part of knowledge that is not solid in the leaningprocess to students accordingly.

Description

technical field [0001] The invention relates to an xAPI-oriented personalized learning effect analysis system and method, wherein xAPI is a data standard describing learning behavior and learning content, and belongs to the field of computer application technology. Background technique [0002] The study of students' learning effects has always been an important part of pedagogy. When students interact with teachers and answer questions through online education websites or terminals, a large amount of learning behavior data will be generated. These behaviors reflect a student's learning habits and attitudes. If data mining methods can be applied to these scenarios, we can better understand the students' personal characteristics and judge students' cognition more accurately based on this information. ability. Feedback of these research results to teachers will certainly promote teachers' understanding of students' learning, and guide teachers to find out the weak points of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/0639G06Q50/205
Inventor 周萱吴文峻
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products