The impact of ChatGPT-based learning statistics on undergraduates’ statistical reasoning and attitudes toward statistics
Fatima Wahba 1 * , Aseel Omar Ajlouni 2 , Mofeed Ahmed Abumosa 3
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1 Middle East University, Amman, JORDAN2 The University of Jordan, Amman, JORDAN3 Arab Open University, Amman, JORDAN* Corresponding Author

Abstract

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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 20, Issue 7, July 2024, Article No: em2468

https://doi.org/10.29333/ejmste/14726

Publication date: 01 Jul 2024

Online publication date: 14 Jun 2024

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Article Downloads: 973

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