Abstract: Driven by digital intelligence technologies, reforms have been advanced in higher education evaluation. Traditional courses of Advanced Mathematics generally suffer from drawbacks including single-dimensional evaluation, difficulties in recording process-based learning data, and delayed evaluation feedback. As a mainstream intelligent teaching platform in China, ChaoXing Learning integrates curriculum development, in-class interaction, AI homework grading, learning situation statistics, learning behavior tracing and other functions, providing platform support for full-process and multi-dimensional teaching evaluation of Advanced Mathematics. Taking ChaoXing Learning as the carrier and relying on the platform’s AI modules and multi-source data collection capabilities, this paper constructs a multi-dimensional three-dimensional teaching evaluation system for Advanced Mathematics featuring "multi-stakeholder participation, full-process coverage and human-machine collaboration". It closes the teaching loop covering pre-class preview, in-class interaction, after-class consolidation and final assessment, and realizes the organic integration of process-based evaluation and summative evaluation. Practical results demonstrate that carrying out three-dimensional teaching evaluation supported by the Learning Platform can effectively mine students’ learning behavioral data, reduce teachers’ workload in process evaluation, accurately identify deficiencies in students’ learning, implement individualized teaching and personalized learning, and improve the educational effectiveness of the Advanced Mathematics course.
Keywords: Digital intelligence, artificial intelligence, Advanced Mathematics, multi-dimensional three-dimensional evaluation, teaching evaluation system.
Title: Research on the Construction of Multi‑dimensional Teaching Evaluation System for Advanced Mathematics Based on AI under the Background of Digital‑Intelligent Transformation
Author: Fuqin Zhan
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
Vol. 14, Issue 3, July 2026 - September 2026
Page No: 200-206
Research Publish Journals
Website: www.researchpublish.com
Published Date: 11-August-2026
