Design of an Intelligent Sensor Teaching Experiment System and Measurement of Student Innovation Literacy

被引:0
作者
Li, Xiaorong [1 ]
Xing, Qianli [1 ]
机构
[1] Yancheng Inst Technol, Yancheng 224051, Jiangsu, Peoples R China
关键词
MODELS;
D O I
10.1155/2022/6128884
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Most of the experimental teaching links adopt experimental teaching, and few of them are taught through experimental simulation system. The intelligent sensor teaching experimental simulation system is a simulation measurement software system compiled by access and LabVIEW software to assist the use of sensor measurement and virtual instrument practical teaching platform, which realizes the network teaching of experimental links and carries out exploratory work. It has important practical significance for the modernization of experimental links. At the same time, the intelligent sensor experimental system can effectively improve the problems of students' low learning motivation and poor learning effect in the learning process and finally let students participate in the construction of sensor teaching experimental system, improve students' learning interest and enthusiasm, and cultivate students' autonomous learning and innovation ability. Through the establishment of intelligent sensor teaching simulation system, this paper successfully improves students' innovative literacy in teaching level, scientific research practice, teaching content, teaching methods, and intelligent lectures and greatly improves students' learning enthusiasm, learning efficiency, and teaching quality.
引用
收藏
页数:13
相关论文
共 33 条
  • [1] Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi)
    Butchart, Neal
    Anstey, James A.
    Hamilton, Kevin
    Osprey, Scott
    McLandress, Charles
    Bushell, Andrew C.
    Kawatani, Yoshio
    Kim, Young-Ha
    Lott, Francois
    Scinocca, John
    Stockdale, Timothy N.
    Andrews, Martin
    Bellprat, Omar
    Braesicke, Peter
    Cagnazzo, Chiara
    Chen, Chih-Chieh
    Chun, Hye-Yeong
    Dobrynin, Mikhail
    Garcia, Rolando R.
    Garcia-Serrano, Javier
    Gray, Lesley J.
    Holt, Laura
    Kerzenmacher, Tobias
    Naoe, Hiroaki
    Pohlmann, Holger
    Richter, Jadwiga H.
    Scaife, Adam A.
    Schenzinger, Verena
    Serva, Federico
    Versick, Stefan
    Watanabe, Shingo
    Yoshida, Kohei
    Yukimoto, Seiji
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2018, 11 (03) : 1009 - 1032
  • [2] Callo EC., 2020, Universal Journal of Educational Research Internet, V8, P3509, DOI [DOI 10.13189/UJER.2020.080826, 10.13189/ujer.2020.080826]
  • [3] Design and development of psychological virtual simulation experiment teaching system
    Chen, Danwen
    Kong, Xiaodong
    Wei, Qiang
    [J]. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2021, 29 (02) : 481 - 490
  • [4] Design and experiment of dual micro-vibration isolation system for optical satellite flywheel
    Chen, Shanbo
    Xuan, Ming
    Xin, Jian
    Liu, Yong
    Gu, Song
    Li, Ji
    Zhang, Lei
    [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2020, 179
  • [5] Model Predictive Control oriented experiment design for system identification: A graph theoretical approach
    Ebadat, Afrooz
    Valenzuela, Patricio E.
    Rojas, Cristian R.
    Wahlberg, Bo
    [J]. JOURNAL OF PROCESS CONTROL, 2017, 52 : 75 - 84
  • [6] Comprehensibility of system models during test design: a controlled experiment comparing UML activity diagrams and state machines
    Felderer, Michael
    Herrmann, Andrea
    [J]. SOFTWARE QUALITY JOURNAL, 2019, 27 (01) : 125 - 147
  • [7] Analysis toward relationship between mathematical literacy and creative thinking abilities of students
    Fitrianawati, M.
    Sintawati, M.
    Marsigit
    Retnowati, E.
    [J]. INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION 2019 (ICMSCE 2019), 2020, 1521
  • [8] Correlation of design parameters with performance for electrostatic precipitator. Part II. Design of experiment based on 3D FEM simulation
    He, Zhongjie
    Dass, E. T. Mohan
    [J]. APPLIED MATHEMATICAL MODELLING, 2018, 57 : 656 - 669
  • [9] Research on Art Teaching Practice Supported by Virtual Reality (VR) Technology in the Primary Schools
    Hui, Jing
    Zhou, Yueliang
    Oubibi, Mohamed
    Di, Weifeng
    Zhang, Lixin
    Zhang, Sijia
    [J]. SUSTAINABILITY, 2022, 14 (03)
  • [10] Jiang J., 2017, ENVIRON TECHNOL, V45, P62