Teaching System of Embedded Mechanical Manufacturing Specialty Based on Deep Learning

Author:

Liu Honghua1,Tan WenPing1ORCID,Gong Jingzhong1,Hu Pinghui1

Affiliation:

1. College of Information and Mechatronical Engineering, Hunan International Economics University, Changsha 410205, Hunan, China

Abstract

With the increasing development of electronic computers and the popularization of computer technology, management systems have been widely used in the society. With the continuous improvement of the teaching system, the methods of education and teaching are also quietly changing, especially in the field of higher vocational education. Due to the characteristics of vocational education, it makes “training project progress control” and “teaching resource integration” the teaching requirements of “distribution,” “strictly restricting daily work habits,” “improving professional quality,” and “teachers’ effective control of the quality of students’ personal projects” that have become increasingly urgent needs in vocational colleges. There is a certain gap between the standards and quality of talent training in our country’s applied undergraduate colleges, and the society’s requirements for high-skilled talents and practical teaching in applied undergraduate colleges are a necessary condition for cultivating high-skilled talent. This subject research takes the mechanical manufacturing professional practice teaching system as the research object, conducts in-depth investigation and research in applied undergraduate colleges, explores the status quo of the mechanical manufacturing professional practice teaching system of applied undergraduate colleges, and analyzes the reasons for the problems. In this study, six classes of mechanical manufacturing majors in six applied undergraduate colleges were selected as the experimental group and the control group for comparison. The experimental group adopts an embedded mechanical manufacturing professional teaching system based on deep learning. In daily teaching, the control group used traditional teaching methods to learn. The questionnaire understands the role of the embedded machinery manufacturing professional teaching system in teaching from four aspects: practical teaching curriculum, practical teaching content, practical teaching equipment, and practical teaching teachers. Experiments have proved that more than half of the people think that the teaching effect of the current mechanical manufacturing professional practice teaching courses is average; only 17.18% think that the classroom is good, and 24.36% think that the classroom is poor. This shows that the construction of similar engineering professional practice is in line with the major itself, and the teaching system has theoretical guiding significance, which is conducive to the seamless connection of mechanical manufacturing majors and industrial positions in applied undergraduate colleges; it is conducive to continuously improving the core competitiveness of mechanical manufacturing majors in industrial and applied undergraduate colleges.

Funder

Scientific Research Project of Hunan Provincial, Department of Education

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference23 articles.

1. Using Professional Resources for Teaching Embedded SW Development

2. On S-quasinormally embedded subgroups of finite groups

3. CVXPY: a python-embedded modeling language for convex optimization;S. Diamond;Journal of Machine Learning Research: JMLR,2016

4. Self-consistent embedded-cluster model for magnetic impurities: Fe, Co, and Ni in β—NiAl;D. E. Ellis;Journal of Applied Physics,2016

5. Institutional Entrepreneurship as Embedded Agency: An Introduction to the Special Issue

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3