Ideological and Political Education through the Demonstration Course of“Data Structures and Algorithms” for the Internet-of-Things Engineering Programme

Huihong Xie; Yinxing Chen; Yingshan Lin

doi:10.6918/IJOSSER.202510_8(10).0054

Authors

Huihong Xie
Yinxing Chen
Yingshan Lin

DOI:

https://doi.org/10.6918/IJOSSER.202510_8(10).0054

Keywords:

Data structures and algorithms, Curriculum-based ideological and political education, Internet-of-Things engineering

Abstract

Data structure and algorithm are new engineering of Internet of Things As the cornerstone of engineering education, core courses serve as crucial platforms for implementing ideological and political education. Grounded in the principle of moral cultivation, this study systematically examines the educational value of exemplary ideological courses in three dimensions: strengthening professional foundations, enhancing social responsibility, and fostering lifelong learning with ethical awareness. It identifies current challenges including misaligned ideological elements, rigid integration, and monolithic evaluation systems. The paper proposes four strategic approaches: a "technology-scenario-value" tripartite design framework, digital technology empowerment, collaborative teaching-research integration, and diversified assessment mechanisms to achieve synchronized knowledge transmission and value guidance. This research establishes replicable models for ideological education in core engineering courses, offering practical implications for cultivating IoT professionals with both technical expertise and ethical competence.

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