基于 ChatGPT 的统计学习对大学生统计推理和统计态度的影响

F. Wahba, A. Ajlouni, M. Abumosa
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引用次数: 0

摘要

如今,人工智能(AI)已成为推动可持续发展的一个重要因素。人工智能技术促进了创新和创造,可用于实现可持续发展目标(SDG),其中教育是第三个可持续发展目标。自人工智能支持的高级语言模型出现以来,ChatGPT 已被广泛应用于包括教育在内的各个领域。数学和统计学可能是其中最重要的领域。因此,本研究旨在调查基于 ChatGPT 的学习对大学生统计推理和统计态度的影响。研究采用了准实验设计。为实现研究目标,研究人员采用了两种有效可靠的评估方法:统计推理评估和统计态度测量。研究样本包括约旦阿拉伯开放大学的 56 名学生,分为两组:实验组和对照组。研究结果表明,使用 ChatGPT 可以有效培养学生的统计推理能力和对统计的积极态度。这些发现鼓励统计学教师将 ChatGPT 纳入其教学方法,并激励学生在学习统计学时使用 ChatGPT。
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The impact of ChatGPT-based learning statistics on undergraduates’ statistical reasoning and attitudes toward statistics
Today, artificial intelligence (AI) has become a major factor in driving sustainable development. AI technology facilitate the innovation and creativity that could be used to achieved the sustainable development goals SDG, where education is the third SDG. Since the emergence of an advanced language model supported by AI, ChatGPT has been widely used in various fields, including education. Perhaps the fields of mathematics in general and statistics, in particular, are among the most important. Therefore, this study was conducted to investigate the impact of ChatGPT-based learning on statistical reasoning and attitudes towards statistics among undergraduates. The study followed a quasi-experimental design. To achieve their objectives, the researchers employed two valid and reliable assessments: the statistical reasoning assessment and the attitude toward statistics measure. The study sample included 56 students from the Arab Open University in Jordan and was distributed into two groups: experimental and control. The results demonstrated the effectiveness of using ChatGPT in developing statistical reasoning and fostering positive attitudes towards statistics. These findings encourage statistics instructors to incorporate ChatGPT into their teaching methods and motivate students to utilize it in their learning of statistics.
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
128
期刊介绍: EURASIA Journal of Mathematics, Science and Technology Education is peer-reviewed and published 12 times in a year. The Journal is an Open Access Journal. The Journal strictly adheres to the principles of the peer review process. The EJMSTE Journal publishes original articles in the following areas: -Mathematics Education: Algebra Education, Geometry Education, Math Education, Statistics Education. -Science Education: Astronomy Education, Biology Education, Chemistry Education, Geographical and Environmental Education, Geoscience Education, Physics Education, Sustainability Education. -Engineering Education -STEM Education -Technology Education: Human Computer Interactions, Knowledge Management, Learning Management Systems, Distance Education, E-Learning, Blended Learning, ICT/Moodle in Education, Web 2.0 Tools for Education
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