Obstacles in Mathematical Modeling. Case Differential Equations in the training of engineers

被引:0
作者
Plaza Galvez, Luis Fernando [1 ]
机构
[1] Unidad Cent Valle Cauca, Tulua, Colombia
来源
REVISTA CIENTIFICA | 2016年 / 2卷 / 25期
关键词
Differential Equation; Engineering; Mathematical modeling; Obstacle; Grounded Theory;
D O I
10.14483/udistrital.jour.RC.2016.25.a1
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
By professional experience, it has been observed that the activities of Mathematical Modeling of phenomena and/or engineering processes in one Differential Equations course, have detected some obstacles by the students in the teaching - learning process, which has motivated its identification, being the purpose of this paper. Initially, researches on obstacles in mathematical context, engineering process and mathematical modeling have been mentioned. To carry out the solution of this problem, a survey was conducted with all students who took the Differential Equation course in Engineering programs at the Unidad Central del Valle del Cauca, in the period 2015-2, after performing modeling practices. This Study was carried out using open type questionnaire and its consequent analysis was with a qualitative approach using the grounded theory. Subsequently, the results of carried survey are mentioned, which led to detect different types of obstacles according their origin. Finally, this research will let improve modelling process within triad: student, education and teacher.
引用
收藏
页码:176 / 187
页数:12
相关论文
共 50 条
[21]   Research on Permeation of Mathematical Modeling Thought in Teaching of Ordinary Differential Equation [J].
Wang, Bin ;
Xu, Na .
2016 4TH INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES RESEARCH (SSR 2016), 2016, 16 :98-100
[22]   Rotary steerable systems: mathematical modeling and their case study [J].
Andrade, Caetano P. S. ;
Saavedra, J. Luis ;
Tunkiel, Andrzej ;
Sui, Dan .
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2021, 11 (06) :2743-2761
[23]   The modeling in the production of mathematical knowledge: the case of the sine function [J].
Molina Toro, Juan Fernando ;
Alexander Villa-Ochoa, Jhony .
REVISTA CIENTIFICA, 2013, :80-84
[24]   Rotary steerable systems: mathematical modeling and their case study [J].
Caetano P. S. Andrade ;
J. Luis Saavedra ;
Andrzej Tunkiel ;
Dan Sui .
Journal of Petroleum Exploration and Production Technology, 2021, 11 :2743-2761
[25]   A new approach for modeling procaryotic biochemical networks with differential equations [J].
Gebert, Jutta ;
Radde, Nicole .
COMPUTING ANTICIPATORY SYSTEMS, 2006, 839 :526-+
[26]   Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations [J].
Chen, Chuqi ;
Yang, Yahong ;
Xiang, Yang ;
Hao, Wenrui .
JOURNAL OF SCIENTIFIC COMPUTING, 2025, 104 (02)
[27]   Asymptotics of solutions of ordinary differential equations in the degenerate case [J].
Nazirova, EA .
DIFFERENTIAL EQUATIONS, 2002, 38 (03) :349-355
[28]   Asymptotics of Solutions of Ordinary Differential Equations in the Degenerate Case [J].
E. A. Nazirova .
Differential Equations, 2002, 38 :349-355
[29]   A Study on Important Role of Mathematical modeling training and contest for Education of Innovative Talents [J].
Zhang, Yuan-Biao .
IITAW: 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATIONS WORKSHOPS, 2009, :67-69
[30]   Mathematical modeling framework of a PV model using novel differential evolution algorithm [J].
Patro, Sanat Kumar ;
Saini, R. P. .
SOLAR ENERGY, 2020, 211 :210-226