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人工智能赋能金融学课程创新:理论、实践与展望

A rtificial Intelligence-Driven Innovation in Finance Courses:Theories,Practices,and Prospects
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摘要 本文探讨了人工智能(AI)技术在金融学课程创新中的应用,旨在为高校金融学教学改革提供指导。随着AI技术的快速发展,金融行业正经历深刻变革,对复合型金融人才的需求愈发迫切。文章首先梳理了建构主义、行为主义、混合式学习和联接主义学习理论在AI赋能金融学课程中的应用,包括情境模拟、个性化辅导、程序教学、强化机制、在线与面对面教学结合以及知识图谱技术建立知识点联系等。实践路径上,提出了基于AI的个性化教学策略、智能互动式教学模式和虚拟仿真实验教学应用,通过数据分析定制学习路径、智能工具增强课堂互动以及虚拟环境提升实操能力。此外,文章还探讨了AI优化教学评价,通过多维度数据驱动的评价指标体系、自动化与实时化评价过程以及促进学生全面发展的评价导向,实现对学生学习情况的全面、科学评估。最后,文章总结了研究结论,并对未来研究方向进行了展望。通过本文的研究,期望为高校金融学教学改革提供有益参考,助力培养适应新时代需求的高素质金融人才。 This paper explores the application of artifcial itelligence(AI)technology in innovating finance courses,aiming to provide guidance for teaching reform in fnance education at collges and universities.With the rapid development of AI technology,the fnancial industry is undergoing pro-found transformations,and the demand for multidisciplinary fnancial talents is becoming increas-ingly urgent.Firstly,the paper examines the application of constructiv ism,behaviorism,blended learning,and connectivism learning theories in AI-empowered finance courses.These include sce-nario simulation,personalized tutoring,programmed instruction,reinforcement mechanisms,the integration of online and face-to-face teaching,and the establishment of knowledge point connec-tions through knowledge graph technology.In terms of practical approaches,the paper proposes AI-based personalized teaching strategies,intelligent interactive teaching models,and virtual sim-ulation experimental teaching applications.These involve customizing learning paths through data analysis,enhancing classroom interaction with intelligent tools,and improving practical operation skills within virtual environments.Additionally,the paper explores the optimization of teaching evaluation through AI.This includes a multi-dimensional,data-driven evaluation index system,an automated and real-time evaluation process,and an evaluation framework aimed at fostering stu-dents’all-round development,enabling comprehensive and scientifc asessments of their learning outcomes.Finally,the paper summarizes the research findings and discusses future research direc-tions.It is expected that the insights provided by this study will serve as a valuable reference for teaching reform in fnance education,contributing to the cultivation of high-quality fnancial tal-ents equipped to meet the demands of the new era.
作者 马艳 Yan MA(School of Management,Yulin University,Yulin 719000,Shaanxi,China)
机构地区 榆林学院
出处 《社会科学理论与实践》 2025年第1期19-25,共7页
基金 陕西省社科联重大理论与现实问题项目:陕西省数字金融赋能产业结构转型升级的机制与路径研究(项目编号:2022ND0171) 2025年教育部产学合作协同育人项目:数智化课程师资培训,榆林学院与港美通科技(深圳)有限公司合作。
关键词 人工智能 金融学 知识图谱 课程创新 Al Finance Knowledge Graph Curriculum Innovation
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