A Systemic Pathway for AI-Enabled Teaching Reform in Economics, Management, and the Humanities
Year: 2025
Type: article
Abstract: This paper examines the deep application of artificial intelligence (AI) in higher education, focusing on teaching reform across economics, management, and the humanities. To address persistent challenges—namely, the scarcity of replicable cases, the disconnect between theory and practice, slow curriculum renewal, and weak value guidance—we propose a systemic reform pathway. Grounded in human‑centered educational theory, the approach integrates competency-oriented curriculum redesign, innovation in project-based teaching, an intelligent closed-loop assessment system, multi‑dimensional empirical validation, and phased, system‑level governance. Together, these elements support the organic integration of AI and humanistic education. The core objective is to cultivate three key competencies: data literacy, model literacy, and humanistic‑legal literacy, while building a modular curriculum system and promoting a shift from teacher‑centered instruction to project‑based learning that is problem‑driven, data‑informed, and collaboration‑oriented. Ultimately, the framework aims to provide a teaching‑reform paradigm that combines theoretical depth with practical value and serves as a model for the intelligent transformation of humanities and social‑science education.
Author: Zixin Tang
Institution: Southwestern University of Finance and Economics
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4415214559
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