Научная статья на тему '人工智能时代纺织机械专业课程体系建设与教学方法研究'

人工智能时代纺织机械专业课程体系建设与教学方法研究 Текст научной статьи по специальности «Строительство и архитектура»

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Ключевые слова
人工智能时代 / 纺织机械 / 课程体系建设 / 学习主动性

Аннотация научной статьи по строительству и архитектуре, автор научной работы — 徐巧 徐巧, 梅顺齐 梅顺齐, 张智明 张智明, 雷格德洛夫 布里杨

随着智能制造的发展, 纺织行业急需一批高素质智能技术人才, 当前纺织机械专业课程体系已难以适应新时代的需求. 课程建设与教学方法在新的历史时期是深化教育改革的关键所在, 对人才培养起着决定性的作用. 针对人工智能时代的特征, 分析传统纺织机械专业课程体系的局限性, 以纺织行 (产) 业企业人才需求为依据, 制定武汉纺织大学纺织机械专业人才培养目标, 以人才培养目标为中心建立模块化课程体系. 通过整合更新教学内容, 丰富教学资源, 强化实践教学体系, 保障模块化课程体系的建立; 革新教学方法, 激发学生的学习主动性; 改革考核方式, 建立工程能力为导向的评价机制, 完善课程体系中的评价机制.

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RESEARCH ON COURSE SYSTEM CONSTRUCTION AND TEACHING METHODS FOR TEXTILE MACHINERY SPECIALTY IN ARTIFICIAL INTELLIGENCE AGE

Course system construction and teaching methods are the key in the new historical period of the deepening education reform and play a decisive role in personnel training. In view of the characteristics of the era of artificial intelligence, this paper analyzes the limitations of traditional textile machinery specialty course system, based on textile industry chain enterprise talent demand, develops personnel training objectives for Wuhan Textile University pilot school, and establishes modular course system in the center of personnel training objectives. The modular course system is established through the integration of updated teaching content, teaching resources and strengthening practice teaching system. Innovative teaching methods to stimulate students' motivation to learn; the reform of assessment methods, build the project ability-oriented evaluation mechanism, improve the course system of evaluation mechanisms.

Текст научной работы на тему «人工智能时代纺织机械专业课程体系建设与教学方法研究»

For citation: Xu Qiao, Mei Shunqi, Zhang Zhiming, Lygdenov Burial. Research on course system construction and teaching methods for textile machinery specialty in artificial intelligence age //

URL: http://rectors.altstu.ru/ru/periodical/archiv/2021/1/articles/3_11.pdf DOI: 10.25712/ASTU.2410-485X.2021.01.026

UDK 621

G642.3

Research on course system construction

and teaching methods for textile machinery specialty in artificial intelligence age

Xu Qiao1, Mei Shunqi1, Zhang Zhiming1, Lygdenov Burial1 1 School of Mechanical Engineering & Automation, Wuhan Textile University, Wuhan, Hubei, 430070, China

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Needs and challenges

Regional economic and socia

1 innovation and developmen

Upgrading. transformation and development of the textile industry

Industry Background

University Characteristic Develoomem

Talent Demand

Applied innovative talents

Talent positioning

Teaching Service University

Disciplinary and professional structure embedded in the industry chain

Faculty team integrated into industry-university cooperation

Innovative practice implanted in industrial chain links

knowledge

Disciplinary foundation

Industrial commonality

Professional technology

Ability

Ability to do things

Ability to work together

Ability to do business

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Character

Honesty and sunshine

Tolerance and openness

Pursuit of excellence

Figure 1. The connotation of Applied Innovative Talents

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^^^^ (References)

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