Open Access Article

Title: A diagnostic model of students' civic education achievement based on multi-feature cognitive diagnosis in digital perspective

Authors: Xiaoqin Chen

Addresses: Institute of Marxism, Shanghai Lida University, Shanghai 201609, China

Abstract: With the framework of digital education, conventional approaches for civic and political education must be creative to satisfy evolving learning requirements. This work presents a new diagnostic model of students' performance in civic and political education (MCRD-IEEM), comprising four main layers and generates a thorough intelligent assessment system by means of multimodal features including behavioural data, knowledge mastery degree and emotional feedback. This work planned and carried out two tests to confirm the efficacy of the model: a multi-feature fusion effect analysis experiment and a model effect validation experiment both of which revealed that the MCRD-IEEM model was better than the comparison model in many facets. This paper offers theoretical support and practical advice for the creative application of educational technology and the digital transformation of the educational assessment system as well as a fresh perspective for the quality evaluation of ideological education.

Keywords: civic education; multi-trait cognitive diagnosis; digital; behavioural analysis.

DOI: 10.1504/IJRIS.2025.147136

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.8, pp.29 - 39

Received: 06 May 2025
Accepted: 24 May 2025

Published online: 10 Jul 2025 *