A Study on the Construction of a Diversified Assessment System for Mechanics Courses in the Context of Digital and Intelligent Transformation

DOI

10.2991/978-94-6239-733-0_18How to use a DOI?

Keywords

Artificial Intelligence; Mechanics Courses; Multi-dimensional Evaluation

Abstract

Against the backdrop of digital transformation in education, there is an urgent need to establish a scientific and effective assessment system for mechanics courses. Traditional assessment methods for mechanics courses suffer from issues such as “limited assessment content, a single evaluator, and monotonous assessment methods.” Based on “multidimensional assessment theory,” this study constructs a diversified assessment system for mechanics courses in the era of artificial intelligence, characterized by “multidimensional competencies, diverse evaluators, and varied methods.” Utilizing this system, the study creates individual student profiles to provide precise feedback on learning progress, thereby driving the shift of mechanics course assessment toward process-oriented, intelligent, personalized, and developmental approaches, and providing scientific support for cultivating high-quality engineering talent.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Cuiping Hu
AU  - Meiying Su
PY  - 2026
DA  - 2026/07/17
TI  - A Study on the Construction of a Diversified Assessment System for Mechanics Courses in the Context of Digital and Intelligent Transformation
BT  - Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026)
PB  - Atlantis Press
SP  - 157
EP  - 164
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-733-0_18
DO  - 10.2991/978-94-6239-733-0_18
ID  - Hu2026
ER  -