在课堂环境中运用生成式人工智能改进中学生的财商教育

Q2 Arts and Humanities
Luigi Italo Villena Zapata, Benicio Gonzalo Acosta Enriquez, Jose Carlos Montes Ninaquispe, Jonathan Alexander Ruiz Carrillo, Lorena Stefany Villarreal Gonzales, Jenny Alva Morales, Manuel Amadeo Sevilla Angelaths
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引用次数: 0

摘要

理财教育被认为是使学生能够有效管理其经济资源的一项基本技能。然而,在一些国家,财商教育仍处于萌芽阶段,青少年在生活中应用财商教育的能力也没有得到实质性的提高。为了应对这些挑战,本研究提出并评估了一种利用生成式人工智能工具改善高中生财商教育的新方法。按照准实验设计,我们将 110 名高中生随机分配到两个条件下:实验组参与使用 ChatGPT 等人工智能工具的财商教育方法下的学习体验,对照组则按照传统教学方法参与相同的学习活动。Mann-Whitney U 检验的结果表明,实验组与对照组的得分存在显著差异(p=1.64E-19 组对照组=28.08),这表明与传统方法相比,生成式人工智能方法在加强金融教育方面效果显著。此外,Kruskal-Wallis 检验显示显著性 p 值小于 0.05(p=0.000935<0.05),表明根据实验组的测试后评价阶段,人工智能的使用显著改善了财商教育的五项指标。另一方面,邓恩多重比较检验显示,使用人工智能的创新方法在以下维度的影响明显更大:财务规划行动、财务分析行动、财务行为和战略支出管理;但投资主动性维度的影响明显较小(=103.46)。在课堂上实施人工智能以促进学生学习的做法受到了创新教学行动方法的青睐。这样,我们就能从课堂上解决学生缺乏技能和财商教育的问题。 收稿日期2023 年 12 月 11 日 / 已接受:2024 年 3 月 19 日 / 发表:2024 年 5 月 5 日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employment of Generative Artificial Intelligence in Classroom Environments to Improve Financial Education in Secondary School Students
Financial education is considered an essential skill that enables students to effectively manage their economic resources. However, it is still at an embryonic stage in several countries, and the ability of young people to apply financial education in life contexts has not substantially improved. To address these challenges, this study proposes and evaluates a novel approach to improve financial education among high school students by using generative artificial intelligence tools. Following a quasi-experimental design, we randomly assigned a total of 110 high school students to two conditions: an experimental group that participated in learning experiences under the financial education approach using artificial intelligence tools such as ChatGPT and a control group that engaged in the same learning activities following the traditional teaching approach. The results of the Mann-Whitney U test indicate that there are significant differences between the scores of the experimental group and the control group (p=1.64E-19<0.05,  group experimental=82.92>  group control=28.08), demonstrating the effectiveness of the generative artificial intelligence approach in enhancing financial education compared to the traditional approach. Furthermore, the Kruskal-Wallis test revealed a significance p-value of less than 0.05 (p=0.000935<0.05), indicating that the use of AI significantly improves the five indicators of financial education according to the post-test evaluation phase of the experimental group. On the other hand, Dunn's test for multiple comparisons reveals a significantly greater influence of the innovative approach using artificial intelligence in the following dimensions: Financial Planning Actions, Financial Analysis Actions, Financial Behavior, and Strategic Expense Management; however, the Investment Initiative dimension shows a significantly lesser influence ( =103.46). The implementation of artificial intelligence in the classroom to promote student learning is favored by innovative approaches to pedagogical action. In this way, from the classroom, we can address the lack of skills and financial education in our students.     Received: 11 December 2023 / Accepted: 19 March 2024 / Published: 5 May 2024
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来源期刊
Academic Journal of Interdisciplinary Studies
Academic Journal of Interdisciplinary Studies Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
171
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