Education Theory: Teaching and LearningOpen Access

Education Theory: Teaching and Learning[ETTL] is an international peer-reviewed journal that publishes original and high-quality research papers in all related areas. All papers published will be open access to all readers. To build a platform for scientific research and academic exchange for scholars, focusing on the development and research, introducing worldwide research, theory and practice, and promoting international exchanges.

ISSN: N/A (Print)
Frequency: Bimonthly
ISSN: 2771-9030 (Online)
Website: https://doi.org/10.55571/ettl
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Teaching Design and Practice of Curriculum Ideology and Politics of Data Structure and Algorithm

DOI: https://doi.org/10.55571/ettl.2022.06023
Authors: Yu-lan Zhao, Jian-tao Zhou, Hong-xi Wei, Wei Wu, Yan Wang, Chun-yan An
Affiliation: School of Computer Science, Inner Mongolia University, Hohhot 010021, China
Information: Education Theory: Teaching and Learning, June 2022 Vol.1, No.3, pp.118-122
Abstract: Analyze the teaching status of data structure and algorithm majors by mining the ideological and political education elements in this course and its ideological and political education functions. The ideological and political elements are better integrated into this course. Actively promote the reform of classroom teaching with the goal of "course ideology and politics," establish curriculum moral education goals, and scientifically and rationally design ideological and political education content. In knowledge imparting, we should pay attention to value guidance and realize the organic unity of ideological and political education and knowledge system education. Guide students to establish a correct world outlook, outlook on life, and values, and promote the overall development of students.
Keywords: Data structure and algorithm; Curriculum ideology and politics; Teaching reform; Moral education ma
Cite This Article:Zhao Y.L, Zhou J.T, etc.(2022).Teaching Design and Practice of Curriculum Ideology and Politics of Data Structure and Algorithm. Education Theory: Teaching and Learning, June 2022 Vol.1, No.3, pp.118-122