Student learning about social responsibility in the global textile and apparel industry: the use of video as an instructional tool-Reference-Cited by-同舟云学术

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Student learning about social responsibility in the global textile and apparel industry: the use of video as an instructional tool

Published:2021-11-17 Issue: Volume: Page:1-10
ISSN:1754-3266
Container-title:International Journal of Fashion Design, Technology and Education
language:en
Short-container-title:International Journal of Fashion Design, Technology and Education

Author:

Hwang Chanmi¹,Lee Youngji²,Ghalachyan Armine³,Karpova Elena²

Affiliation:

1. Department of Textile and Apparel, Technology and Management, North Carolina State University, Raleigh, NC, USA

2. Department of Consumer, Apparel, and Retail Studies, University of North Carolina at Greensboro, Greensboro, NC, USA

3. Department of Apparel, Merchandising, Design, and Textiles, Washington State University, Pullman, WA, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Visual Arts and Performing Arts,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/17543266.2021.2004242

Reference44 articles.

1. Education for sustainable development beyond attitude change

2. Barriers and Mechanisms for the Integration of Sustainability in Textile and Apparel Education: Stories from the Front Line

3. Using video as a storytelling medium to influence textile and clothing students’ environmental knowledge and attitudes

4. Effective Educational Videos: Principles and Guidelines for Maximizing Student Learning from Video Content

5. Test-Enhanced Learning: The Potential for Testing to Promote Greater Learning in Undergraduate Science Courses

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Increasing objective and subjective knowledge of the environmental impact of cotton and polyester apparel: implications for educating future industry professionals;International Journal of Fashion Design, Technology and Education;2023-11-03

2. A user-portraits-based recommendation algorithm for traditional short video industry and security management of user privacy in social networks;Technological Forecasting and Social Change;2022-12

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