MATEC Web Conf.
Volume 355, 20222021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|Number of page(s)||7|
|Section||Computing Methods and Computer Application|
|Published online||12 January 2022|
Application of blended teaching in public elective courses of design class
University of Electronic Science and Technology of China, Zhongshan Institution, Zhongshan, Guangdong, China
* Corresponding author: firstname.lastname@example.org
The development of education informatization has brought opportunities for teaching reform in colleges and universities, but there are still some shortcomings when applied to public elective courses (PEC). The Blended Teaching mode that combines the advantages of MOOC and SPOC teaching provides a new exploration for improving the teaching effect of public elective courses. This article relies on the “Everybody Loves Design” MOOC national boutique online open course of Chinese universities, and applies the Blended Teaching model to the teaching of “Industrial Design History” course, a PEC in Z colleges and universities. A teaching model including the selection of course teaching platform and teaching resources, teaching implementation, teaching effect evaluation, teaching reflection, etc was constructed. The results show that this model has a positive effect on improving students’ learning interest, learning autonomy and learning effect.
Key words: Industrial design history / Blended teaching / MOOC
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.