{"title":"基于 ChatGPT 的统计学习对大学生统计推理和统计态度的影响","authors":"F. Wahba, A. Ajlouni, M. Abumosa","doi":"10.29333/ejmste/14726","DOIUrl":null,"url":null,"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.","PeriodicalId":35438,"journal":{"name":"Eurasia Journal of Mathematics, Science and Technology Education","volume":"10 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of ChatGPT-based learning statistics on undergraduates’ statistical reasoning and attitudes toward statistics\",\"authors\":\"F. Wahba, A. Ajlouni, M. Abumosa\",\"doi\":\"10.29333/ejmste/14726\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":35438,\"journal\":{\"name\":\"Eurasia Journal of Mathematics, Science and Technology Education\",\"volume\":\"10 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurasia Journal of Mathematics, Science and Technology Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29333/ejmste/14726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasia Journal of Mathematics, Science and Technology Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29333/ejmste/14726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
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.
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