The Singapore Modeling Method: Possibilities for Improving Elementary Teacher Mathematics Preparation

PRIMUS ◽  
2021 ◽  
pp. 1-1
Author(s):  
Geoff Clement ◽  
Susan Swars Auslander
Author(s):  
Yullys Helsa ◽  
Ary Kiswanto Kenedi

This research is motivated by the crucial development of the information technology era in changing learning paradigm from conventional to technology-based learning. The purpose of this study is to develop Edmodo-based blended learning media in learning mathematics for Elementary Teacher Education students. This research is a research and development (R&D) that uses the ADDIE procedures. This study results a valid, effective and practical Edmodo-based blended learning media in learning mathematics for Elementary Teacher Education students. It is implied that Edmodo-based blended learning media can be applied by the lecturers to support learning for Elementary Teacher Education students.


2011 ◽  
Vol 131 (3) ◽  
pp. 635-643 ◽  
Author(s):  
Kohjiro Hashimoto ◽  
Kae Doki ◽  
Shinji Doki ◽  
Shigeru Okuma ◽  
Akihiro Torii

Author(s):  
A.Yu. Kulakov

Goal. Assess the reliability of a complex technical system with periodic reconfiguration and compare the results obtained a similar system, but without reconfiguration. Materials and methods. In this article uses the method of statistical modeling (Monte Carlo) to assess the reliability of complex system. We using the normal and exponential distribution of failure time for modeling failures of system elements. Reconfiguration algorithm is the algorithm proposed for the attitude and orbit control system of spacecraft. Results. A computer program has been developed for assessing reliability on the basis of a statistical modeling method, which makes it possible to evaluate systems of varying complexity with exponential and normal distribution, as well as with and without periodic reconfiguration. A quantitative estimate of the reliability as a function of the probability of system failure is obtained. Conclusion. It has been demonstrated that a system with reconfiguration has the best reliability characteristics, both in the case of exponential and normal distribution of failures.


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