APPLICATION OF LEARNING MANAGEMENT SYSTEM TO STUDY OF SOIL CLASSIFICATION

被引:0
|
作者
Roca, N. [1 ]
机构
[1] Univ Barcelona, E-08007 Barcelona, Spain
关键词
Soil classification; moodle; virtual learning environment;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Soil maps and its reports are valuable means for transferring the soil knowledge to users, comprising soil scientists, other scientists and laymen. Soil classification is a tool for making and interpreting soil surveys. Consequently, the well-used of a soil classification is strongly responsible for the success of the process of soil knowledge transference. However, the soil classification is frequently rejected by the students because of the alleged difficulty of the contents, specific language and complex architecture of the soil classification system. The present work was triggered by the need to develop new techniques of teaching to speed up the learning process and to experiment with new methods of teaching. For such, it is necessary to adopt virtual learning environment to new learning requirements regarding Soil Classification. Moodle has become very popular among educators around the world as a tool for creating online dynamics web sites for their students. This paper presents e-teaching techniques introduced in Moodle virtual learning Environment in order to increase student motivation and interest in Soil Classification, connecting the scientific knowledge with the user needs. The student interest to learn using e-project is clearly strong.
引用
收藏
页码:4218 / 4218
页数:1
相关论文
共 50 条
  • [31] A Study on the Application of Learning Vector Quantization Neural Network in Pattern Classification
    Ding Shuo
    Chang Xiao-heng
    Wu Qing-hui
    DEVELOPMENT OF INDUSTRIAL MANUFACTURING, 2014, 525 : 657 - 660
  • [32] On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study
    Kahouadji, Nabil
    INFORMATION, 2024, 15 (05)
  • [33] Application of Interactive Classification System in University Study Course Comparison
    Birzniece, Ilze
    Rudzajs, Peteris
    Kalibatiene, Diana
    Vasilecas, Olegas
    Rencis, Edgars
    INFORMATICS IN EDUCATION, 2015, 14 (01): : 13 - 34
  • [34] Study on DTW algorithm application in the vehicle classification recognition system
    Weng Guo-qing
    Chen Ming-jun
    He Tong-neng
    Shen Yong-zeng
    Proceedings of 2004 Chinese Control and Decision Conference, 2004, : 289 - 291
  • [35] An observational study into the management of arteriomegaly: a call for a revised classification system
    Barandiaran, Jv
    Hall, Tc
    Glaves, I.
    El-Barghouti, N.
    Perry, Ep
    ANNALS OF THE ROYAL COLLEGE OF SURGEONS OF ENGLAND, 2012, 94 (04) : 250 - 255
  • [36] A system of soil maps: Experience in application of a polycomponent basic classification of soils for mapping purposes
    Ananko, TV
    Sokolov, IA
    Konyushkov, DE
    Gradusov, BP
    EURASIAN SOIL SCIENCE, 1998, 31 (05) : 561 - 573
  • [37] Deep Learning Application to Clinical Decision Support System in Sleep Stage Classification
    Kim, Dongyoung
    Lee, Jeonggun
    Woo, Yunhee
    Jeong, Jaemin
    Kim, Chulho
    Kim, Dong-Kyu
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (02):
  • [38] DEEP LEARNING APPLICATION TO CLINICAL DECISION SUPPORT SYSTEM IN SLEEP STAGE CLASSIFICATION
    Kim, D. -K.
    Kim, D.
    Lee, J. -G.
    Woo, Y.
    Jeong, J.
    SLEEP MEDICINE, 2022, 100 : S293 - S293
  • [39] Metaheuristic Optimized Multi-Level Classification Learning System for Engineering Management
    Chou, Jui-Sheng
    Trang Thi Phuong Pham
    Ho, Chia-Chun
    APPLIED SCIENCES-BASEL, 2021, 11 (12):
  • [40] PHYSICOCHEMISTRY OF SOIL ADSORBENT AS A QUANTITATIVE SYSTEM FOR SOIL CLASSIFICATION
    GANEV, SI
    DOKLADI NA BOLGARSKATA AKADEMIYA NA NAUKITE, 1981, 34 (03): : 355 - 358