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Variance in Teachers’ Implementation of Culturally Responsive Digital Curriculum Tools in Aotearoa New Zealand 新西兰奥特罗阿地区教师使用文化响应型数字课程工具的差异
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2026-01-08 DOI: 10.1007/s11165-025-10315-4
Sriparna Saha, Sara Tolbert, Ben Kennedy
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引用次数: 0
Digital Research Skills: Application in Secondary Science Reports. 数字研究技能:在二级科学报告中的应用。
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2026-01-01 Epub Date: 2025-05-31 DOI: 10.1007/s11165-025-10259-9
K N Blankendaal-Tran, R F G Meulenbroeks, W R van Joolingen

Digital Research Skills (DRS) are a subset of digital skills that are essential for performing and communicating research in science. This study focuses on the current level of DRS as evidenced by 12th grade pre-university science students in their science project reports (SPRs). 88 SPRs in the fields of the physical sciences were collected. A rubric was constructed using a bottom-up method and served as a coding scheme to systematically assess the levels of DRS demonstrated in students' SPRs. To ensure validity, the rubric was reviewed by two experts, and inter-rater reliability was assessed. The results demonstrate students' difficulties in digitally analysing, transforming and visualizing content/data, as well as in writing a research paper using digital tools. Examples are problems with the proper construction of graphs and formulas to an extent that they might confuse the content of the report. The level of DRS as evidenced in students' reports is generally found wanting. Key deficiencies include inadequate referencing, inadequate figures, and a lack of proficiency in data handling and analysis. The observed deficiencies in DRS in science project reports can lead to significant confusion. We therefore advocate increased attention to DRS in secondary education.

数字研究技能(DRS)是数字技能的一个子集,对于执行和交流科学研究至关重要。本研究以12年级理科生在科学项目报告(SPRs)中所表现出的DRS水平为研究对象。共收集了88份物理科学领域的战略文件。采用自底向上的方法构建了一个量表,并作为编码方案,系统地评估学生在SPRs中表现出的DRS水平。为确保效度,由两位专家对标题进行了评审,并评估了评分者间的信度。结果显示学生在数字化分析、转换和可视化内容/数据以及使用数字化工具撰写研究论文方面存在困难。例如,图表和公式的正确构造问题可能会混淆报告的内容。从学生报告中可以看出,DRS的水平普遍存在不足。主要缺陷包括不充分的参考,不充分的数字,以及在数据处理和分析方面缺乏熟练程度。在科学项目报告中观察到的DRS缺陷可能导致严重的混乱。因此,我们提倡在中学教育中增加对DRS的关注。
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引用次数: 0
Validation of a French Version of the Situational Interest Survey for Physics 法语版物理情境兴趣调查的验证
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-12-15 DOI: 10.1007/s11165-025-10313-6
Mouhamadou Thiam, Nicole T. Lirette-Pitre
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引用次数: 0
Informal Reasoning and Nature of Science in Proximal and Distal Socio-scientific Issues 近端和远端社会科学问题中的非正式推理和科学性质
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-12-15 DOI: 10.1007/s11165-025-10310-9
Özlem Özdemir, Devrim Güven
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引用次数: 0
Transactivity Despite Complexity: Promoting Group Discussions in the Context of Socioscientific Issues 复杂性下的交易:促进社会科学问题背景下的小组讨论
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-12-09 DOI: 10.1007/s11165-025-10304-7
Maria Jafari, Maren Koberstein-Schwarz, Christina Priert, Florian Böttcher, René Leubecher, Jürgen Menthe, Anke Meisert
There is a need for support in addressing complex socio-scientific issues (SSIs) in science lessons. Therefore, this study analyzes the quality of students’ group discussions against the background of functionally varying degrees of instruction to enhance both complexity management and broad participation. The instructional approach comprises a process-structuring tool, target-mat, as the core of the teaching strategy. The corresponding intervention was conducted in 29 group discussions regarding a local biodiversity conflict among 8th-grade students. On the basis of qualitative content analysis and subsequent code quantification, the results indicate that directly instructed discussion activities, such as compliance with discussion phases, were successfully realized. In addition, discussion activities that were not explicitly instructed, such as active participation and referring to peers’ statements in terms of transactivity, were, nevertheless, frequently observed. Furthermore, the frequency of these noninstructed activities correlates significantly with the controversial character of the discussion topic. These results are attributed to the balanced combination of guided and student-directed activities and are interpreted as core features of discussion quality. The implications for teaching and educational research are discussed.
在科学课中解决复杂的社会科学问题需要支持。因此,本研究在功能不同程度的指导背景下分析学生小组讨论的质量,以提高复杂性管理和广泛参与。教学方法包括一个过程结构工具,目标垫,作为教学策略的核心。针对8年级学生的当地生物多样性冲突进行了29次小组讨论。在定性内容分析和随后的代码量化的基础上,结果表明,直接指导的讨论活动,如遵守讨论阶段,成功实现。此外,没有明确指示的讨论活动,例如积极参与和参考同伴在事务性方面的陈述,经常被观察到。此外,这些非指导活动的频率与讨论主题的争议性显著相关。这些结果归因于指导和学生指导活动的平衡结合,并被解释为讨论质量的核心特征。讨论了对教学和教育研究的启示。
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引用次数: 0
Correction: The Changing Landscape of Science Education Research in Australia and New Zealand 更正:澳大利亚和新西兰科学教育研究的变化景观
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-11-22 DOI: 10.1007/s11165-025-10311-8
Xiangyu Wang, Jan Van Driel, David F. Treagust
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引用次数: 0
Epistemic Design Features of Virtual Reality-Based Scientific Inquiry Across Different Types of Reasoning: A Multimodal Perspective 跨不同类型推理的基于虚拟现实的科学探究的认知设计特征:多模态视角
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-11-17 DOI: 10.1007/s11165-025-10309-2
Jina Chang, Kok-Sing Tang, Joonhyeong Park
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引用次数: 0
The Conceptual Connection between Science and Engineering: Analysis of Middle School Science Teachers’ Integration of Engineering Design Process into Science Units 科学与工程的概念联系:中学科学教师将工程设计过程融入科学单元的分析
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-11-15 DOI: 10.1007/s11165-025-10306-5
Sevgi Aydin‑Gunbatar, Elif Selcan Oztay, Esra Kizilay
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引用次数: 0
How Scientists’ Narratives on AI Signal a New Era for Science Education 科学家关于人工智能的叙述如何标志着科学教育的新时代
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-11-12 DOI: 10.1007/s11165-025-10307-4
Ho-Yin Chan, Sibel Erduran
Artificial intelligence (AI) has become a central topic in scientific and public discourse, raising important questions about its impact on science, society, and education. The paper reports an empirical study on 151 scientist commentaries published from 2021 to 2024 in the top scientific outlets of Nature and Science to examine evolving trends in AI-related communication in science. Using epistemic network analysis, we explored how scientists’ narratives frame the nature of science (NOS), a central area of science education research since at least the 1960s. The current impact of AI on science needs to be understood in order to ensure that contemporary depictions of NOS in science education are consistent with the fast-changing landscape of scientific research. Findings show that expert commentaries address multiple dimensions of NOS, with scientific practices as the central concept. Surrounding these practices, scientific and social values emerge as key considerations for utilising AI as a tool for scientific research and social contributions. While epistemic aspects of NOS remain a focus, the findings suggest that the launch of ChatGPT in late 2022 shifted attention toward social-institutional dimensions, emphasising more the social and political structures that underpin NOS. These trends highlight the evolving relationship between epistemic and societal aspects of AI, reflecting broader debates on ethics, governance, and applications. Expert commentaries serve as valuable resources for aligning science education with contemporary accounts of scientific research, and as such they signal a new era for science education in the age of AI where the social and institutional aspects of science play a major role. The implications for science education are discussed highlighting how socially embedded NOS can potentially prepare future scientists and citizens to critically engage with AI and other emerging technologies.
人工智能(AI)已经成为科学和公共话语的中心话题,引发了关于其对科学、社会和教育影响的重要问题。该论文对2021年至2024年在《自然》和《科学》等顶级科学媒体上发表的151篇科学家评论进行了实证研究,以考察科学领域人工智能相关传播的演变趋势。使用认知网络分析,我们探索了科学家的叙述如何构建科学的本质(NOS),这是至少自20世纪60年代以来科学教育研究的中心领域。必须了解人工智能对科学的当前影响,以确保科学教育中对人工智能的当代描述与快速变化的科学研究景观保持一致。研究结果表明,专家评论涉及NOS的多个维度,以科学实践为中心概念。围绕这些实践,科学和社会价值观成为利用人工智能作为科学研究和社会贡献工具的关键考虑因素。虽然人工智能的认知方面仍然是一个焦点,但研究结果表明,2022年底推出的ChatGPT将注意力转移到社会制度层面,更多地强调支撑人工智能的社会和政治结构。这些趋势突出了人工智能的认知和社会方面之间不断发展的关系,反映了关于伦理、治理和应用的更广泛的辩论。专家评论是将科学教育与当代科学研究结合起来的宝贵资源,因此它们标志着人工智能时代的科学教育进入了一个新时代,科学的社会和制度方面将发挥重要作用。讨论了对科学教育的影响,强调了社会嵌入式NOS如何潜在地培养未来的科学家和公民批判性地参与人工智能和其他新兴技术。
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引用次数: 0
The Changing Landscape of Science Education Research in Australia and New Zealand 澳大利亚和新西兰科学教育研究的变化景观
IF 2.3 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2025-11-10 DOI: 10.1007/s11165-025-10308-3
Xiangyu Wang, Jan Van Driel, David F. Treagust
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引用次数: 0
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Research in Science Education
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