AN INNOVATIVE KNOWLEDGE MANAGEMENT LEARNING CYCLE BY LEGO NXT FOR SCIENCE EDUCATION

被引:0
|
作者
Chen, Chen Yuan [1 ,2 ,3 ,4 ]
机构
[1] Natl Pingtung Univ Educ, Dept Comp Sci, Pingtung 90003, Taiwan
[2] Natl Pingtung Univ Educ, Grad Sch Comp Sci, Pingtung 90003, Taiwan
[3] Natl Kaohsiung First Univ Sci & Technol, Doctoral Program Management, Kaohsiung 811, Taiwan
[4] Natl Cheng Kung Univ, Global Earth Observat & Data Anal Ctr, Tainan 701, Taiwan
来源
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2012年 / 8卷 / 1B期
关键词
Science education; Lego NXT; Knowledge management learning cycle (KMLC); Artificial intelligence; Learning intention; NONLINEAR STRUCTURAL SYSTEMS; NEURAL-NETWORK CONTROLLERS; TIME-DELAY; STABILITY ANALYSIS; OCEANIC STRUCTURE; USER ACCEPTANCE; MODEL; TECHNOLOGY; SATISFACTION; CREATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The competition for knowledge creation and imparting learning has become more and more intense. In this competitive environment, teachers have to manage their imparting knowledge not only by maintaining quality and creativeness, but also by increasing interaction with their students. Learning-oriented concepts can give teachers a competitive edge for sustainable development. The key to maintaining the knowledge management learning cycle (KMLC) with students is based on a stable sharing system, effective management, expertise participation, social relationship assets, etc. The purpose of this study is to examine the correlation among the antecedents of information education using Lego NXT intelligent robots. Valid questionnaires are received and the research model was tested. The relationships assumed in the conceptual model were analyzed. The findings show a significant positive effect for learning intention and performance.
引用
收藏
页码:791 / 798
页数:8
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