基于FAHP的AI工具应用对大学生学习影响综合评价研究——以北部湾大学为例
A FAHP-Based Comprehensive Evaluation of the Impact of AI Tools on College Students’ Learning—A Case Study of Beibu Gulf University
摘要: 随着人工智能技术(AI)的快速发展,其应用已得到广泛普及。在大学生学习场景中,AI工具既有助于学生加深对疑难知识的理解,也带来一些负面影响,例如过度依赖可能导致学习能力弱化等问题。为此,本文以北部湾大学为例,系统探讨AI工具应用对学生学习的综合影响。研究首先从学习效率、创新思辨、学习质量、知识视野和学习模式五个维度设计调查问卷,共发放300份,回收有效问卷297份;其次,采用模糊层次分析法(FAHP)构建量化评价指标体系;最后,对问卷数据进行处理,构建相应评价矩阵,并计算出AI工具应用对大学生学习综合影响的得分为80.2895分,等级为“中等”。其中,学习效率提升维度的得分最高,而综合学习质量维度的得分相对最低。基于上述研究结论,提出分层培训、规范使用及建设校园AI学习平台等优化策略,为正确引导学生科学使用AI工具提供参考依据。
Abstract: With the rapid advancement of artificial intelligence (AI) technology, its applications have become widely pervasive. In the learning contexts of college students, AI tools not only help students deepen their understanding of difficult concepts but also give rise to certain negative effects, such as excessive reliance that may weaken learning ability. To this end, this paper takes Beibu Gulf University as a case study to systematically examine the comprehensive impact of AI tool applications on students’ learning. The study first designed a questionnaire covering five dimensions—learning efficiency, innovative thinking, learning quality, knowledge perspective, and learning mode—and distributed 300 copies, of which 297 valid responses were recovered. The fuzzy analytic hierarchy process (FAHP) was then employed to construct a quantitative evaluation index system. Finally, the questionnaire data were processed, a corresponding evaluation matrix was constructed, and the comprehensive impact score of AI tool applications on college students’ learning was calculated as 80.2895, corresponding to a “medium” grade. Among the dimensions, learning efficiency improvement scored the highest, whereas comprehensive learning quality scored the lowest. Based on these findings, optimization strategies—including tiered training, standardized use, and the development of campus AI learning platforms—are proposed to provide a reference for appropriately guiding students in the scientific use of AI tools.
文章引用:邓丽恩, 覃欣异, 潘绘竹, 杨郁, 刘祖林, 宋翌. 基于FAHP的AI工具应用对大学生学习影响综合评价研究——以北部湾大学为例[J]. 应用数学进展, 2026, 15(10): 345-357. https://doi.org/10.12677/aam.2026.1510419

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