{"title":"职前教师使用生成式人工智能的高阶思维与问题解决能力发展的关系:基于有调节中介的分析","authors":"Yinjie Zhang, Hong Tian, Jijian Lu","doi":"10.1186/s40359-025-03404-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI), as a smart and connected technology, has significantly expanded the educational landscape.As more educators and learners begin to rely on GAI to assist with tasks such as instructional design and information generation, its potential to support problem-solving has gained increasing attention. However, the extent to which GAI contributes to the development of higher-order thinking skills-such as creative thinking, critical thinking, and metacognitive awareness-and how these thinking processes interact to influence problem-solving ability remains underexplored. A more comprehensive understanding of this relationship is needed to guide the effective integration of GAI in educational practice.</p><p><strong>Methods: </strong>The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.</p><p><strong>Results: </strong>The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.</p><p><strong>Conclusions: </strong>This study confirms that training pre-service teachers using generative AI to foster creative thinking can elevate their critical thinking, thereby impacting their problem-solving abilities. Moreover, metacognitive thinking amplifies the impact of creative thinking on critical thinking, resulting in a moderated mediation effect.</p>","PeriodicalId":37867,"journal":{"name":"BMC Psychology","volume":"13 1","pages":"1094"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12487179/pdf/","citationCount":"0","resultStr":"{\"title\":\"The relationship between higher-order thinking and problem-solving skills development among pre-service teachers using generative AI: an analysis based on moderated mediation.\",\"authors\":\"Yinjie Zhang, Hong Tian, Jijian Lu\",\"doi\":\"10.1186/s40359-025-03404-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Artificial intelligence (AI), as a smart and connected technology, has significantly expanded the educational landscape.As more educators and learners begin to rely on GAI to assist with tasks such as instructional design and information generation, its potential to support problem-solving has gained increasing attention. However, the extent to which GAI contributes to the development of higher-order thinking skills-such as creative thinking, critical thinking, and metacognitive awareness-and how these thinking processes interact to influence problem-solving ability remains underexplored. A more comprehensive understanding of this relationship is needed to guide the effective integration of GAI in educational practice.</p><p><strong>Methods: </strong>The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.</p><p><strong>Results: </strong>The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.</p><p><strong>Conclusions: </strong>This study confirms that training pre-service teachers using generative AI to foster creative thinking can elevate their critical thinking, thereby impacting their problem-solving abilities. Moreover, metacognitive thinking amplifies the impact of creative thinking on critical thinking, resulting in a moderated mediation effect.</p>\",\"PeriodicalId\":37867,\"journal\":{\"name\":\"BMC Psychology\",\"volume\":\"13 1\",\"pages\":\"1094\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12487179/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1186/s40359-025-03404-6\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1186/s40359-025-03404-6","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
The relationship between higher-order thinking and problem-solving skills development among pre-service teachers using generative AI: an analysis based on moderated mediation.
Background: Artificial intelligence (AI), as a smart and connected technology, has significantly expanded the educational landscape.As more educators and learners begin to rely on GAI to assist with tasks such as instructional design and information generation, its potential to support problem-solving has gained increasing attention. However, the extent to which GAI contributes to the development of higher-order thinking skills-such as creative thinking, critical thinking, and metacognitive awareness-and how these thinking processes interact to influence problem-solving ability remains underexplored. A more comprehensive understanding of this relationship is needed to guide the effective integration of GAI in educational practice.
Methods: The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.
Results: The study encompassed 473 pre-service teachers from three distinct higher education institutions, with specialties in science, computer science, and mathematics, and included a four-week generative AI-supported instructional design training program. And a semistructured interview comprising open-ended questions was administered to 50 pre-service teachers within the experimental group to present their views on generative AI-assisted teaching. Assessments were conducted before and after this program using a higher-order thinking skills survey. The relationship between thinking and problem-solving ability development of pre-service teachers using generative artificial intelligence was analyzed with a moderated model.
Conclusions: This study confirms that training pre-service teachers using generative AI to foster creative thinking can elevate their critical thinking, thereby impacting their problem-solving abilities. Moreover, metacognitive thinking amplifies the impact of creative thinking on critical thinking, resulting in a moderated mediation effect.
期刊介绍:
BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.