工程教育学课程制图

IF 1.1 Q3 METALLURGY & METALLURGICAL ENGINEERING
Alexander V. Perig, E. Gribkov, P. A. Gavrish, A. Zavdoveev, D. Mikhieienko, O. Subotin, Oleksii V. Razzhyvin, Artem F. Zaliatov, Tetiana K. Kasian, Mykyta O. Zhuravlov, Mykyta S. Davydenko, Yevgeny Lodatko, S. Podlesny, Liudmyla V. Vasylieva
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引用次数: 2

摘要

工科研究生在学习和成功实施工程教学基础方面存在实际困难。本文的重点是为研究生和博士生的“技术大学工程教育的教育学和方法论基础”(TUPMFEE)课程制定一个发人深省的课程,其中包含计算作业。本文使用社会教育系统中行为过程的计算模型。tupmfee课程教授未来的工程师将计算技术应用于社会技术现象的建模。作者提出并以计算机模型为支持的高社会压力对学生学习动力的心理教育效应隐喻,运用机械滚动应力分布对教师强化教育中学生知识获取的非线性社会过程进行了隐喻化可视化,并描述了学生在完成课程后对先前获得的教学材料的一些连续遗忘。作者提出的tupmfee课程成功地激发了研究生对社会、机械和计算机科学的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ENGINEERING PEDAGOGY COURSE MAPPING
Graduate students of technical universities have practical difficulties with learning and successful instructional implementation of the fundamentals of engineering didactics. The paper is focused on the formulation of a thought-provoking curriculum with computational assignments for the course of “Technical University Pedagogic and Methodological Foundations of Engineering Education” (TUPMFEE) for graduate and Ph.D. students. The paper uses computational modelling of behavioral processes in socio-educational systems. The TUPMFEE-curriculum teaches future engineers to apply computational techniques to modeling of socio-technical phenomena. The author-formulated and a computer modeling-supported metaphor for the psycho-educational effects of high social pressure impact on student learning dynamics was allegorically visualized using mechanical rolling stress distribution for the nonlinear social process of student knowledge acquisition during instructor-enhanced education with description of some successive forgetting of the previously acquired instructional material upon the studied course completion. The author-proposed TUPMFEE-course successfully triggers graduate students’ interest in both social, mechanical and computer sciences.
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来源期刊
Acta Metallurgica Slovaca
Acta Metallurgica Slovaca METALLURGY & METALLURGICAL ENGINEERING-
CiteScore
2.00
自引率
30.00%
发文量
22
审稿时长
12 weeks
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