Pub Date : 2025-06-09DOI: 10.1007/s11191-025-00655-y
Arunee Eambaipreuk, Pongprapan Pongsophon
This study examines the impact of a 90-h apprenticeship on Thai preservice science teachers’ confidence and understanding of nature of science (NOS). Twenty-eight participants, specializing in physics, chemistry, biology, or general science, engaged in a hands-on apprenticeship under practicing scientists. To evaluate NOS, pre- and post-apprenticeship assessments were conducted using a 5-point Likert scale to measure participants’ confidence in NOS tenets, while the VNOS Form C, which focuses on understanding of NOS tenets, was administered only post-apprenticeship. Pre-apprenticeship, participants exhibited moderate confidence in NOS, particularly in areas related to creativity and the socio-cultural aspects of science. After the apprenticeship including reflective discussion, significant improvements were observed. Post-apprenticeship survey results showed strong agreement across all NOS tenets, with mode values of 5 and significantly reduced quartile ranges (IQRs), indicating greater consensus among participants. A Wilcoxon signed-rank test revealed that participants’ median total score was significantly higher than the threshold score of 12 (V = 133.5, p = 0.0067), indicating enhanced NOS comprehension. These findings suggest that experiential learning, such as apprenticeships, plays a critical role in shaping preservice teachers’ confidence and understanding of NOS by bridging theoretical concepts with real-world scientific practices. This study emphasizes the need for integrating both authentic scientific experiences and explicit NOS discussion in teacher education programs to foster a well-rounded understanding of nature of science.
本研究考察了90小时学徒制对泰国职前科学教师信心和理解科学本质(NOS)的影响。二十八名参与者,专攻物理、化学、生物或普通科学,在实践科学家的指导下从事动手实习。为了评估NOS,使用5分李克特量表进行学徒前和学徒后评估,以衡量参与者对NOS原则的信心,而VNOS表格C则侧重于对NOS原则的理解,仅在学徒后进行。在学徒之前,参与者对NOS表现出适度的信心,特别是在与创造力和科学的社会文化方面有关的领域。经过包括反思性讨论的学徒期,观察到显著的改善。学徒期后的调查结果显示,所有NOS原则都非常一致,模式值为5,四分位数范围(IQRs)显着减少,表明参与者之间的共识更大。Wilcoxon sign -rank检验显示,参与者的中位总分显著高于12分的阈值(V = 133.5, p = 0.0067),表明NOS理解能力增强。这些研究结果表明,通过将理论概念与现实世界的科学实践联系起来,体验式学习(如学徒制)在塑造职前教师对NOS的信心和理解方面发挥了关键作用。本研究强调了在教师教育计划中整合真实的科学体验和明确的NOS讨论的必要性,以培养对科学本质的全面理解。
{"title":"The Power of Apprenticeships in Shaping Preservice Teachers’ Confidence and Understanding of the Nature of Science in Thailand","authors":"Arunee Eambaipreuk, Pongprapan Pongsophon","doi":"10.1007/s11191-025-00655-y","DOIUrl":"10.1007/s11191-025-00655-y","url":null,"abstract":"<div><p>This study examines the impact of a 90-h apprenticeship on Thai preservice science teachers’ confidence and understanding of nature of science (NOS). Twenty-eight participants, specializing in physics, chemistry, biology, or general science, engaged in a hands-on apprenticeship under practicing scientists. To evaluate NOS, pre- and post-apprenticeship assessments were conducted using a 5-point Likert scale to measure participants’ confidence in NOS tenets, while the VNOS Form C, which focuses on understanding of NOS tenets, was administered only post-apprenticeship<i>.</i> Pre-apprenticeship, participants exhibited moderate confidence in NOS, particularly in areas related to creativity and the socio-cultural aspects of science. After the apprenticeship including reflective discussion, significant improvements were observed. Post-apprenticeship survey results showed strong agreement across all NOS tenets, with mode values of 5 and significantly reduced quartile ranges (IQRs), indicating greater consensus among participants. A Wilcoxon signed-rank test revealed that participants’ median total score was significantly higher than the threshold score of 12 (<i>V</i> = 133.5, <i>p</i> = 0.0067), indicating enhanced NOS comprehension. These findings suggest that experiential learning, such as apprenticeships, plays a critical role in shaping preservice teachers’ confidence and understanding of NOS by bridging theoretical concepts with real-world scientific practices. This study emphasizes the need for integrating both authentic scientific experiences and explicit NOS discussion in teacher education programs to foster a well-rounded understanding of nature of science.</p></div>","PeriodicalId":771,"journal":{"name":"Science & Education","volume":"35 1","pages":"61 - 82"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147337902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increasing availability of digital tools in science classrooms can provide students with more frequent and easier access to large amounts of data. Large data sets have considerable epistemological potential, as they enable, for instance, the observation of otherwise unobservable phenomena, but it must be assumed that handling them places greater demands on learners. However, it remains unclear how learners use large amounts of data when arguing from data, the challenges they encounter, and how they can be supported effectively. To address these gaps, we derived assumptions from a constructivist epistemological, sociocultural, and cognitive science perspective on how evaluating large amounts of data affects the quality of arguments in educational lab work. To investigate these assumptions, 664 high school students were randomly assigned a diagram containing a small, medium, or large amount of data from one experiment. The students were then asked to work on an argumentation task, which consisted of selecting a scientific claim and providing a written argument to support the selection. In addition to the impact of the different amounts of data, we investigated how the quality of the argument was related to the correctness of the claim the students selected as well as the impact of cognitive load (CL) and data competence on that quality. The results showed that the amount of data, CL, and data competence had no meaningful effects on the quality of arguments, and there was no relation between such quality and the claim the students supported. The study provides insights into how students deal with data in the learning of science. Implications for effectively supporting students when learning from large data sets are discussed.
{"title":"Does Size Matter? Impact of Handling Diagrams Presenting Different Amounts of Data on Students' Arguments in Educational Lab Settings","authors":"Gregor Benz, Tobias Ludwig, Andreas Vorholzer","doi":"10.1002/sce.21985","DOIUrl":"https://doi.org/10.1002/sce.21985","url":null,"abstract":"<p>The increasing availability of digital tools in science classrooms can provide students with more frequent and easier access to large amounts of data. Large data sets have considerable epistemological potential, as they enable, for instance, the observation of otherwise unobservable phenomena, but it must be assumed that handling them places greater demands on learners. However, it remains unclear how learners use large amounts of data when arguing from data, the challenges they encounter, and how they can be supported effectively. To address these gaps, we derived assumptions from a constructivist epistemological, sociocultural, and cognitive science perspective on how evaluating large amounts of data affects the quality of arguments in educational lab work. To investigate these assumptions, 664 high school students were randomly assigned a diagram containing a small, medium, or large amount of data from one experiment. The students were then asked to work on an argumentation task, which consisted of selecting a scientific claim and providing a written argument to support the selection. In addition to the impact of the different amounts of data, we investigated how the quality of the argument was related to the correctness of the claim the students selected as well as the impact of cognitive load (CL) and data competence on that quality. The results showed that the amount of data, CL, and data competence had no meaningful effects on the quality of arguments, and there was no relation between such quality and the claim the students supported. The study provides insights into how students deal with data in the learning of science. Implications for effectively supporting students when learning from large data sets are discussed.</p>","PeriodicalId":771,"journal":{"name":"Science & Education","volume":"109 6","pages":"1669-1700"},"PeriodicalIF":3.4,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sce.21985","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this response to Lanouette as part of the special issue Centering Affect and Emotion Toward Justice and Dignity in Science Education, this commentary highlights key themes in relation to welcoming affect and emotion into elementary science classrooms to support learners’ data modeling practices. These themes include: (1) the idea that social interactions in classrooms are emotional encounters that can be framed along a continuum, and that no emotions are off-limits or out-of-bounds in these settings (i.e., competition can be just as important to learning science as collaboration); (2) the pedagogical implications of relational work from an arts-based perspective and thoughtfulness required as the designer/teacher/researcher working toward supporting learners’ dignity in science classrooms; and (3) embedding reflection as a process that is part of the emotional work in making sense of learning experiences. I put the manuscript into conversation with examples from research that positions the arts as a mediating process for supporting sense making around emotion and affect across disciplines. I end with a discussion of emotion as a design imperative for supporting learners’ identities within data modeling practices in elementary science classrooms.
{"title":"Emotion as Identity Work in Children's Data Modeling Practices: A Response to Lanouette","authors":"Maggie Dahn","doi":"10.1002/sce.21988","DOIUrl":"https://doi.org/10.1002/sce.21988","url":null,"abstract":"<p>In this response to Lanouette as part of the special issue <i>Centering Affect and Emotion Toward Justice and Dignity in Science Education</i>, this commentary highlights key themes in relation to welcoming affect and emotion into elementary science classrooms to support learners’ data modeling practices. These themes include: (1) the idea that social interactions in classrooms are emotional encounters that can be framed along a continuum, and that no emotions are off-limits or out-of-bounds in these settings (i.e., competition can be just as important to learning science as collaboration); (2) the pedagogical implications of relational work from an arts-based perspective and thoughtfulness required as the designer/teacher/researcher working toward supporting learners’ dignity in science classrooms; and (3) embedding reflection as a process that is part of the emotional work in making sense of learning experiences. I put the manuscript into conversation with examples from research that positions the arts as a mediating process for supporting sense making around emotion and affect across disciplines. I end with a discussion of emotion as a design imperative for supporting learners’ identities within data modeling practices in elementary science classrooms.</p>","PeriodicalId":771,"journal":{"name":"Science & Education","volume":"110 1","pages":"166-170"},"PeriodicalIF":3.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sce.21988","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145772399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}