Research on the Integration Path of Artificial Intelligence Data-intelligence Literacy and Project-based Learning in Higher Vocational English
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v7i1.4978
Abstract
Under the background of the digital education strategy in education, the cultivation of artificial intelligence data-intelligence literacy among vocational college students is becoming increasingly urgent. At present, higher vocational English teaching is confronted with dual challenges. Project-based learning (PBL) has deficiencies in cultivating higher-order qualities, while students’ use of generative artificial intelligence shows the characteristics of high frequency and low quality, lacking criticality and ethics. To this end, this study has constructed an integrated path for systematically cultivating data-intelligence literacy in PBL of higher vocational English. This research not only refines the connotation and cultivation mechanism of artificial intelligence literacy in specific disciplinary contexts, expands the theoretical boundaries of PBL teaching, but also provides an operational integrated solution for front-line teaching.
Keywords
data-intelligence literacy, artificial intelligence, project-based learning, vocational English
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[3] Zhang Yuchen, Wang Linyi, Qiu Junping. Development and Preliminary Validation of the Chinese College Students’ Digital Intelligence Literacy Scale in the Era of Artificial Intelligence [J]. Library Magazine, 2026, 1-16.
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[5] Wang Haiguo. Exploring the Reform of Higher Vocational English Teaching Based on Goal Orientation - Review of “Project-based English Course for Higher Vocational Education” [J]. China University Science and Technology, 2022, (04): 108-109.
[6] Yang Maoxia, Chen Meihua. Analyzing the Value-Building Function of University English Project-Based Learning [J]. Foreign Language Teaching, 2021, (03): 69-74.
[7] Gao Duo. The Auxiliary Role of Project Teaching Method in Higher Vocational English Teaching [J]. Education Development Research, 2017, (S1): 100-101.
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