Publications
Search

Publications :: Search

Research on Analysis of Multi-source Data Fusion Model in Smart Classroom

Show publication

On this page you see the details of the selected publication.

    Publication properties
    Title: Research on Analysis of Multi-source Data Fusion Model in Smart Classroom
    Rating: (not rated yet)
    Discussion: 0 comments
    Date: 2016
    Publication type: Technical report
    Authors:
    No. First name Last name Show
    1. SEP C
    Bookmark:

    The following keywords have been assigned to this publication so far. If you have logged in, you can tag this publication with additional keywords.

    Keywords
    1. Model
    2. Multi-source Data Fusion
    3. Smart Classroom

    If you log in you can tag this publication with additional keywords

    A publication can refer to another publication (outgoing references) or it can be referred to by other publications (incoming references).

    Incoming References
    No incoming references have been assigned to this publication yet.
    Outgoing References
    No outgoing references have been assigned to this publication yet.

    If you log in you can add references to other publications

    A publication can be assigned to a conference, a journal or a school.

    Venue
    Department of Educational Technology, Capital Normal University, Beijing, China

    Abstract

    Smart Classroom, as a new learning environment, is a new direction in the development of education informatization and has been a hot research in the field of educational technology in recent years. Its wisdom goal is based on the large amounts of data that produced by learners study in the learning process. And for the Smart Classroom, the fusion analysis of the data in the learning process can provide some advice for learners and teachers. At present, there is little study on multi-source data fusion analysis. In view of this, this paper shows the research status of data fusion, and analyzes the Smart Classroom from the dimension of data sources and data fusion, then builds a process model of multi-source data fusion analysis, finally applies it into practice from the dimension of data fusion.