| 侯西龙,韩腾,朱逸宇,段青玉.研究生生成式AI辅助学术阅读采纳行为的影响因素研究[J].数字图书馆论坛,2025,21(11):10~19 |
| 研究生生成式AI辅助学术阅读采纳行为的影响因素研究 |
| Factors Influencing Postgraduate Students’ Adoption of Generative AI-Assisted Academic Reading |
| 投稿时间：2025-09-20 |
| DOI：10.3772/j.issn.1673-2286.2025.11.002 |
| 中文关键词: 生成式AI；生成式AI辅助学术阅读；采纳行为；创新扩散理论 |
| 英文关键词: Generative AI; Generative AI-Assisted Academic Reading; Adoption Behavior; Innovation Diffusion Theory |
| 基金项目:本研究得到山东省自然科学基金项目“基于大语言模型的文化遗产领域知识建模方法与人智协同模式研究”（编号：ZR2024MG044）资助。 |
| 作者 | 单位 | | 侯西龙 | 曲阜师范大学传媒学院 | | 韩腾 | 曲阜师范大学传媒学院 | | 朱逸宇 | 曲阜师范大学传媒学院 | | 段青玉 | 武汉大学信息管理学院；武汉大学出版研究院 |
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| 中文摘要: |
| 生成式AI赋能科研范式变革背景下，探究研究生生成式AI辅助学术阅读采纳行为，有助于深入理解学术阅读的智能化变革，为研究生合理运用AI技术提升科研效率与阅读能力提供依据。本研究采用半结构化访谈与扎根理论研究方法，在创新扩散理论框架下，对研究生生成式AI辅助学术阅读采纳行为的影响因素进行系统识别与归纳分析。研究结果揭示，该采纳行为是技术、个体及社会多维因素共同作用的结果，主要受到智能增强相对优势、功能约束与需求失配、感知易用性和感知可信度等因素的影响。研究结论为新型学术阅读平台的优化、智慧学术阅读模式的构建以及科研支持服务的创新提供理论参考与实践启示。 |
| 英文摘要: |
| In the context of paradigm shifts in scientific research empowered by generative AI, exploring postgraduate students’ adoption behavior of generative AI-assisted academic reading can help deepen the understanding of the intelligent transformation of academic reading and provide a basis for postgraduates to use AI technologies effectively to enhance research efficiency and reading skills. Using semi-structured interviews and grounded theory, this study systematically identifies and analyzes the influencing factors of postgraduate students’ adoption of generative AI-assisted academic reading within the framework of innovation diffusion theory. The results reveal that this adoption behavior is the outcome of the combined influence of multidimensional factors across technical, individual, and social aspects. Specifically, it is significantly affected by key factors such as the relative advantage of intelligence enhancement, functional constraints and demand mismatches, perceived ease of use, and perceived crediblity. The findings provide theoretical references and practical implications for optimizing new academic reading platforms, constructing intelligent academic reading models, and innovating research support services. |
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