(MSL) MULTIPLE STEP E-LEARNING PRACTICAL - COMPUTED TOMOGRAPHY

被引:0
|
作者
Bezrouk, Ales [1 ]
Nosek, Tomas [1 ]
Smutny, Martin [1 ]
Kopecek, Martin [1 ]
Voda, Petr [1 ]
Hanus, Josef [1 ]
Stransky, Pravoslav [1 ]
机构
[1] Charles Univ Prague, Med Fac Hradec Kralove, Dept Med Biophys, Simkova 870, Hradec Kralove 50003, Czech Republic
来源
DISTANCE LEARNING, SIMULATION AND COMMUNICATION 'DLSC 2017' | 2017年
关键词
e-learning; computed tomography; biophysics; MSL; adaptive systems;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Computed tomography is one of the important imaging methods used in a clinical praxis. The multiple step learning (MSL) concept is a way of e-learning course creation which reflects the previous knowledge of enrolled students. This paper describes the innovated MSL based e-learning course Computed Tomography. The course content is presented on three different levels of details. Every higher level gives the explanation of the problem using more details then the previous one. Therefore, it is possible to reveal some additional and connecting information only to students who need to know some interdisciplinary connections for better understanding. Based on the students' feedback, the MSL e-learning course Computed Tomography for the study year 2016/2017 was modified and enhanced with new step by step lab instructions. The impact of these modifications was tested.
引用
收藏
页码:9 / 14
页数:6
相关论文
共 50 条
  • [41] An analysis of learning preferences and e-learning suitability for effective e-learning architecture
    Nishino, Kazunori
    Iribe, Yurie
    Mizuno, Shinji
    Aoki, Kumiko
    Fukumura, Yoshimi
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2010, 4 (04): : 269 - 276
  • [42] Effective design of E-learning application incorporating multiple intelligences
    Krishnasamy, K
    Lee, SP
    Palaniappan, S
    DIGITAL LIBRARIES: TECHNOLOGY AND MANAGEMENT OF INDIGENOUS KNOWLEDGE FOR GLOBAL ACCESS, 2003, 2911 : 693 - 694
  • [43] THEORY OF LEARNING AND E-LEARNING
    Klement, Milan
    Dostal, Jiri
    INTED2016: 10TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE, 2016, : 3206 - 3212
  • [44] Putting the Learning into E-learning
    Dave Middleton
    European Political Science, 2010, 9 : 5 - 12
  • [45] E-LEARNING AND LEARNING STYLES
    Guranda, Mihaela
    Nagy, Daniela
    ANYWHERE, ANYTIME - EDUCATION ON DEMAND, VOL II, 2011, : 271 - 274
  • [46] TOWARDS E-LEARNING QUALITY A Proposal of e-Learning Quality Model
    Cabedo Gallen, Rosa
    CSEDU 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION, VOL 2, 2010, : 455 - 460
  • [47] e-learning indicators approach to developing e-learning software solutions
    Fetaji, Bekim
    Fetaji, Majlinda
    EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6, 2007, : 2656 - 2663
  • [48] Study on the Evaluation System of E-Learning Based on E-Learning Portfolio
    He Yongqiang
    Yuan Jinwu
    COMPUTING AND INTELLIGENT SYSTEMS, PT III, 2011, 233 : 420 - 426
  • [49] E-Learning for SME Employees - A Case Study on e-Learning Quality
    Stiglic, Maja
    Verlic, Mateja
    Povalej, Petra
    Strmecki, Ales
    Dinevski, Dejan
    PROCEEDINGS OF THE ITI 2009 31ST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, 2009, : 467 - +
  • [50] E-learning Platforms and E-learning Students: Building the Bridge to Success
    Rodrigues, Manuel
    Goncalves, Sergio
    Fdez-Riverola, Florentino
    Novais, Paulo
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2012, 1 (02): : 21 - 34