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Research on the Construction and Cultivation Path of Prompt Literacy for Intelligence Tasks
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Mengying Feng1, 2, 3, Jianlin Yang1, 2, 3, *
Journal of Modern Information | 2026, 46(3) : 172 - 183
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Journal of Modern Information | 2026, 46(3): 172-183
DISCIPLINARY DEVELOPMENT and TALENT CULTIVATION
Research on the Construction and Cultivation Path of Prompt Literacy for Intelligence Tasks
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Mengying Feng1, 2, 3, Jianlin Yang1, 2, 3, *
Affiliations
  • 1School of Information Management,Nanjing University,Nanjing210023,China
  • 2Key Laboratory of Data Engineering and Knowledge Services in Provincial Universities,Nanjing210023,China
  • 3National Security Development Research Institute,Nanjing University,Nanjing210023,China
Published: 2026-03-01 doi: 10.3969/j.issn.1008-0821.2026.03.014
Outline
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Purpose/Significance

The study on prompt literacy and its cultivation methods for intelligence tasks could help boost efficiency in human-AI collaboration when using GenAI.

Method/Process

The paper defined the concept of prompt literacy, which is based on a five-dimensional framework consisting of task decomposition, prompt adaptation, prompt design, prompt standardization, verification and evaluation on AIGC, interaction feedback, and prompt iteration. Following this framework, the study proposed the cultivation methods for prompt literacy, including comprehension, application ability, strengthening skills, and optimization of feedback.

Result/Conclusion

The five-dimensional framework relying on intelligence thinking built a closed-loop system, and its four-step cultivation method achieved the development from cognition to internalization, which supported cultivating versatile intelligence talents in the era of artificial intelligence.

prompt literacy  /  prompt engineering  /  intelligence thinking  /  talent cultivation  /  intelligence tasks
Mengying Feng, Jianlin Yang. Research on the Construction and Cultivation Path of Prompt Literacy for Intelligence Tasks[J]. Journal of Modern Information, 2026 , 46 (3) : 172 -183 . DOI: 10.3969/j.issn.1008-0821.2026.03.014
Year 2026 volume 46 Issue 3
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Article Info
doi: 10.3969/j.issn.1008-0821.2026.03.014
  • Receive Date:2025-07-29
  • Online Date:2026-06-05
  • Published:2026-03-01
Article Data
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History
  • Received:2025-07-29
Affiliations
    1School of Information Management,Nanjing University,Nanjing210023,China
    2Key Laboratory of Data Engineering and Knowledge Services in Provincial Universities,Nanjing210023,China
    3National Security Development Research Institute,Nanjing University,Nanjing210023,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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