Analysis of the Status Quo of AI Literacy Among Business Students and Optimization Strategies for Teaching
DOI:
https://doi.org/10.62051/jedss.v1n1.05Keywords:
Business Students, Critical AI Literacy, Empirical Research, Teaching Optimization StrategiesAbstract
This study analyzes the status and structural characteristics of college students' AI literacy to inform educational optimization. Based on a four-dimensional framework ("Technological Cognition - Tool Application - Innovative Practice - Ethical Responsibility"), a survey (N=112) revealed an inverted pattern: "high application breadth, low cognitive depth." While students frequently use AI tools like DeepSeek and Doubao for academic tasks, they lack deep understanding of principles like machine learning. Data indicates that while critical AI literacy significantly drives innovation, current education fails to shift students from "tool dependence" to "cognitive restructuring."
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[1] Tang Qianwen, Yin Zihan, Zhang Hao. Cultivation Goals and Implementation Strategies of College Students' Digital Literacy in the Context of Generative AI[J]. Library Work and Study, 2025(4): 95-102.
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Copyright (c) 2026 Journal of Educational Development and Social Sciences
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