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Artificial intelligence and the Journal of Research in Science Teaching 人工智能与《科学教学研究》杂志
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-23 DOI: 10.1002/tea.21933
Troy D. Sadler, Felicia Moore Mensah, Jonathan Tam
<p>Artificial Intelligence (AI) is a transformative technology that promises to impact many aspects of society including research, education, and publishing. We, the editors of the <i>Journal of Research in Science Teaching</i> (JRST), think that the journal has a responsibility to contribute to the ongoing dialogues about the use of AI in research and publishing with particular attention to the field of science education. We use this editorial to share our current ideas about the opportunities and challenges associated with AI in science education research and to sketch out new journal guidelines related to the use of AI for the production of JRST articles. We also extend an invitation to scholars to submit research articles and commentaries that advance the field's understanding of the intersections of AI and science education.</p><p>Establishing foundations for an AI revolution has been in progress since the mid-twentieth century (Adamopoulou & Moussiades, <span>2020</span>), and a giant step in public engagement with AI was taken in November 2022 when OpenAI released ChatGPT. This tool along with other large language models (LLM) such as Google Bard, and Microsoft's Copilot, provide platforms that are easy to use and can generate content such as text, images, computer code, audio, and video. It has quickly become apparent that these <i>generative</i> AI tools have the potential to change education in substantial ways. There is already evidence that students and teachers are actively using AI in ways that will push the field of education to reconsider what it means to construct learning artifacts, how to assess the work of learners, and the nature of learner-technology interactions (e.g., Prather et al., <span>2023</span>). Of course, generative AI will not just impact the work of students, teachers, and other educational practitioners, it will affect how research is conducted and reported. As journal editors, we are particularly interested in the use of AI in the sharing of research and publication processes.</p><p>Across the field of education research, and science education research more specifically, scholars use a host of technologies to support their work. For example, researchers regularly use statistical packages to derive quantitative patterns in data, qualitative software to organize and represent coded themes in data, grammar, and spelling check software embedded in word processors and online (i.e., Grammarly), and reference managers to find and cite literature. Technologies such as these examples are ubiquitous across our field, and new generative AI presents another set of tools that researchers might leverage for the sharing of their scholarship. However, the now widely available LLMs seem, to us, to represent a fundamental shift in technological capacity for producing research publications. The users of software for data analysis, reference management, and grammar checks exert levels of control and supervision over these tec
为什么人工智能工具会产生虚假或误导性的内容,这一点尚未完全明了,它反映了潜在的不确定性(Athaluri et al.正如 JRST 最近一篇评论的作者所言,"[人工智能]列车......确实已经驶离车站"(Zhai &amp; Nehm, 2023, 第 1395 页)。虽然这篇评论是专门针对人工智能在形成性评估中的作用而写的,但其中关于人工智能不可避免的观点也延伸到了我们领域的其他方面,包括出版业。我们可以想象,人工智能有可能(而且已经在)以负责任的方式用于开展研究和准备稿件。例如,人工智能可以帮助研究人员查阅现有文献、生成用于分析数据的代码、创建用于组织稿件的大纲,以及协助头脑风暴过程。(为了充分披露信息,在我们思考人工智能能为研究人员做些什么时,我们向 ChatGPT 提出了以下问题:"生成式人工智能如何能负责任地用于开展研究和发表论文?"以及 "人工智能能为试图发表作品的研究人员做些什么?")。其中一些回答有助于启动我们的思考,但我们还是创建了上面分享的最终清单。)我们还认为,对于人工智能的用户来说,意识到人工智能的局限性和问题至关重要。其中一些局限性和问题包括偏差、不准确,以及我们在上文强调的透明度有限。生成式人工智能因其审查的数据集而产生偏差。在有偏见的数据集上训练的模型会产生有偏见的结果,包括传播性别刻板印象和种族歧视(Heaven,2023 年)。这些平台也可能产生不准确的结果--输出结果可能过时、与事实不符,有时甚至是无稽之谈。此外,生成式人工智能往往不会为其创建的产品提供引文,当被特别要求提供引文时,可能会创建虚构的参考文献(Stokel-Walker &amp; Van Noorden, 2023)。随着时间的推移,模型会不断改进,这项技术的用户也会更好地使用它。然而,这些问题不会轻易消失,使用生成式人工智能的学者和消费人工智能生成内容的人都必须意识到这些问题。鉴于人工智能的挑战和潜力,我们不赞成使用生成式人工智能来生成撰写手稿的文本。但是,作为 JRST 的管理者,我们认识到人工智能技术正在迅速发展,科学教育学者使用这些技术的方式也是如此,如果对 JRST 出版物使用人工智能制定过于严格的指导方针,可能会对期刊和 JRST 社区造成损害。我们认为,研究团队使用人工智能生成 JRST 手稿的全文是不合适的。目前,我们认为甚至不可能做到生成符合 JRST 出版标准的产品。不过,我们也可以想象,在什么情况下,一个团队会以与我们上面介绍的用途一致的方式使用人工智能,而人工智能生成的内容的某些方面最终会出现在手稿中。尽管我们公认对人工智能在出版学术研究中的作用持怀疑态度,但我们认为这种假设情况可能是人工智能生成的内容被纳入 JRST 文章的众多情况之一。在作者使用人工智能的所有情况下,他们都应彻底审查和编辑人工智能生成的内容,以检查其准确性,并确保符合研究道德标准,包括正确注明来源和避免抄袭。当作者选择在其研究和创作中使用人工智能来撰写稿件供《JRST》参阅时,他们应公开披露使用了哪些人工智能工具以及如何使用这些工具。作者应在投稿时明确说明稿件中包含的文本或其他内容(如图像或数据显示)是人工智能工具的产物。当人工智能的使用与研究的设计、实施或分析有关时,应在稿件的 "方法 "部分或 "致谢 "部分进行披露。最终,作者对稿件中提供的信息负责。这包括信息的准确性、正确引用资料来源以及保证学术诚信。JRST的编辑、副主编和审稿人会将人工智能声明作为发表决定过程的一部分加以考虑。虽然在撰写稿件时使用了人工智能工具,但应明确注明,这些工具不能作为JRST的共同作者。
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引用次数: 0
What affects the continued learning about energy? Evidence from a 4-year longitudinal study 是什么影响了对能源的持续学习?一项为期 4 年的纵向研究提供的证据
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-23 DOI: 10.1002/tea.21931
Marcus Kubsch

Energy is a central concept across the sciences and an important goal of science education is to support all students so that they develop a full understanding of the energy concept. However, given the abstract and complex nature of the energy concept, only a few students develop an understanding so that they can use energy ideas to make sense of phenomena. Research into energy learning progressions aims at developing models of learning about energy to guide instruction so that students can be best supported in developing competence and has provided a rich model of how students' understanding of energy develops over time. Being largely based on cross-section data, however, the extent to which this model can guide instruction is limited, especially concerning the continued learning of students about energy. To address this gap—the limited evidence regarding what supports students' continued learning about energy—it was investigated how holding non-normative ideas and the integratedness of students' energy knowledge affect students' continued learning about energy. Drawing on data from a 4-year longitudinal study covering Grades 6–9 on students' learning about energy, diagnostic classification models were used to characterize students' non-normative idea profiles and the integratedness of their knowledge and then related both to their continued learning. The results suggest no detrimental effects of holding non-normative ideas and strong positive effects of holding integrated knowledge for students' continued learning about energy. Implications for teaching and future research are discussed.

能量是各门科学的核心概念,科学教育的一个重要目标是帮助所有学生充分理解能 量概念。然而,由于能量概念的抽象性和复杂性,只有少数学生能够理解能量概念,从而能够利用能量概念来理解各种现象。对能源学习进展的研究旨在建立能源学习模式,以指导教学,从而为学生能力的发展提供最佳支持,并为学生对能源的理解如何随着时间的推移而发展提供了丰富的模型。然而,由于该模型主要基于横截面数据,因此对教学的指导作用有限,尤其是在学生对能源的持续学习方面。为了弥补这一缺陷--关于支持学生继续学习能源知识的证据有限--我们研究了持有非规范性观点和学生能源知识的整合性如何影响学生继续学习能源知识。根据一项为期四年的纵向研究(涵盖六至九年级学生的能源学习)的数据,我们使用诊断分类模型来描述学生的非规范性想法和知识的整合性,然后将两者与学生的持续学习联系起来。结果表明,持有非规范性想法不会对学生继续学习能源知识产生不利影响,而持有综合性知识则会对学生继续学习能源知识产生积极影响。本文讨论了对教学和未来研究的启示。
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引用次数: 0
Elementary preservice teachers' pedagogical decisions about socioscientific issues instruction 小学职前教师关于社会科学问题教学的教学决策
IF 3.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-16 DOI: 10.1002/tea.21932
Melanie Kinskey, Dana Zeidler

Socioscientific issues (SSI) have been found to improve scientific literacy skills among K—12 students. Existing literature shows, however, that elementary preservice teachers are reluctant to implement SSI due to a lack of confidence with subject matter knowledge and knowledge of instruction concerning SSI. Previous research has focused on helping elementary preservice teachers overcome these concerns through microteaching, adapting existing curricula, and experiencing SSI through methods courses. While it has been noted that formal preparation is required for preservice teachers to feel confident in their abilities to facilitate SSI, little has been done to prepare elementary preservice teachers to facilitate SSI during field experiences. In this study, we explored the factors that influenced elementary preservice teachers' instructional decision-making while planning and enacting SSI-based instruction in the classroom. Community of practice (CoP) meetings provided formal training to prepare these elementary preservice teachers to facilitate SSI. Recordings of the CoP meetings, reflective journals, observations, and interviews served as data sources. Our findings revealed knowledge of students, instructional knowledge, and context as most influential in these elementary preservice teachers' pedagogical reasoning concerning SSI-based instruction, while subject matter knowledge was the least considered. We discuss these findings and offer recommendations for how to use these considerations when planning future research to study elementary preservice teachers' SSI-based instructional practice.

研究发现,社会科学问题(SSI)可以提高 K-12 学生的科学素养技能。然而,现有文献表明,小学职前教师由于对学科知识和有关社会科学问题的教学知识缺乏信心,不愿意实施社会科学问题教学。以往的研究侧重于通过微格教学、调整现有课程和通过方法课程体验 SSI 来帮助小学职前教师克服这些顾虑。虽然有研究指出,要让职前教师对自己促进 SSI 的能力充满信心,需要进行正式的准备,但对于小学职前教师在实地体验中促进 SSI 的准备却鲜有涉及。在本研究中,我们探讨了影响小学职前教师在课堂上计划和实施基于 SSI 的教学决策的因素。实践社区(CoP)会议为这些小学职前教师提供了正式培训,使他们为促进学生自主学习做好准备。实践社区会议的记录、反思日记、观察和访谈都是数据来源。我们的研究结果表明,学生知识、教学知识和情境对小学职前教师有关基于 SSI 的教学的教学推理影响最大,而学科知识则最少被考虑。我们对这些发现进行了讨论,并就如何在规划未来研究时利用这些考虑因素来研究小学职前教师基于 SSI 的教学实践提出了建议。
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引用次数: 0
From graphs as task to graphs as tool 从作为任务的图表到作为工具的图表
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-08 DOI: 10.1002/tea.21930
A. Lynn Stephens

It is widely recognized that we need to prepare students to think with data. This study investigates student interactions with digital data graphs and seeks to identify what might prompt them to shift toward using their graphs as thinking tools in the authentic activity of doing science. Drawing from video screencast data of three small groups engaged in sensor-based and computer simulation-based experiments in high school physics classes, exploratory qualitative methods are used to identify the student interactions with their graphs and what appeared to prompt shifts in those interactions. Analysis of the groups, one from a 9th grade class and two from 11th/12th grade combined classes, revealed that unexpected data patterns and graphical anomalies sometimes, but not always, preceded deeper engagement with the graphs. When shifts toward deeper engagement did occur, transcripts revealed that the students perceived the graphical patterns to be misaligned with the actions they had taken to produce those data. Misalignments between the physical, digital, and conceptual worlds of the investigations played an important role in these episodes, appearing to motivate students to revise either their experimental procedures or their conceptions of the phenomena being explored. If real-time graphs can help foster a sense in students that there should be alignments between their data production and data representations, it is suggested that pedagogy leverage this as a way to support deeper student engagement with graphs.

人们普遍认为,我们需要培养学生用数据进行思考。本研究调查了学生与数字数据图表之间的互动情况,并试图找出可能促使他们在科学实践的真实活动中将图表作为思考工具的因素。本研究利用三个小组在高中物理课堂上进行基于传感器和计算机模拟实验的视频截屏数据,采用探索性的定性方法来确定学生与他们的图表之间的互动,以及促使这些互动发生转变的因素。对一个九年级班级和两个十一年级/十二年级联合班级的小组进行的分析表明,意外的数据模式和图形异常有时会(但并非总是)先于对图形的深入参与。当学生开始深入参与时,成绩单显示,学生认为图形模式与他们产生这些数据所采取的行动不一致。在这些事件中,探究的物理世界、数字世界和概念世界之间的错位发挥了重要作用,似乎促使学生修改他们的实验程序或他们对所探究现象的概念。如果实时图表有助于培养学生的一种意识,即他们的数据生产和数据表示之间应该是一致的,那么建议教学法利用这一点来支持学生更深入地参与到图表中来。
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引用次数: 0
A (TRANS)formative approach to gender-inclusive science education 性别包容科学教育的(TRANS)形成方法
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-01 DOI: 10.1002/tea.21928
K. Rende Mendoza, Carla C. Johnson

The teaching of science in K-12 schools has long been criticized as a process that propagates oppression for students who do not conform to entrenched norms of gender, sex, and sexuality. Academic standards, curriculum, and textbooks are rife with rhetoric that reinforces any deviation from cisheterosexuality as aberrant, unusual, or abnormal. However, these often-over-simplified conceptions discount the historic social and scientific intricacies of gender and sexual diversity as well as students' own lived experiences. While there have been advancements in LGBTQ+ and gender-inclusive science education reform, these movements have been stymied by a lack of cohesive guidelines for pedagogy and practice, particularly for trans, nonbinary, and gender-creative youth. Situated within trans-created conceptual frameworks for critical education, this study explored the pedagogical practices of 10 transgender science teachers with the purpose of learning from their experiences creating gender inclusive curriculum. From the data (in-depth interviews, instructional materials samples, and reflective teaching statements) emerged the TRANS (Trans and Research-informed Approaches for Nonbinary and gender-inclusive Science education) Framework for gender inclusive science education pedagogy. This framework is anchored in three domains for teaching science through a trans-informed lens:interrogating and accessing power, resisting essentialism, and embracing experiential knowledge and personal epistemologies. The findings of this study contribute to our growing understanding of gender-inclusive science learning environments. Importantly, this study amplified the experiential knowledge of teachers whose voices are critically absent from research surrounding gender and LGBTQ+-inclusive science education practice. Moreover, the framework derived from teachers' experiences can be used to guide educators in making their science classrooms safer and more gender inclusive.

长期以来,K-12 学校的科学教学一直受到批评,被认为是对不符合根深蒂固的性 别、性别和性行为规范的学生进行压迫的过程。学术标准、课程和教科书中充斥着各种言论,将任何偏离顺式异性恋的行为都视为反常、不寻常或异常。然而,这些过于简单化的概念往往忽略了性别和性多样性在社会和科学方面的历史复杂性,也忽略了学生自身的生活经历。虽然在 LGBTQ+ 和性别包容的科学教育改革方面已经取得了一些进展,但由于缺乏统一的教学和实践指导方针,这些运动一直受到阻碍,尤其是对于变性、非二元和具有性别创造力的青年而言。本研究在变性人创建的批判性教育概念框架内,探索了 10 位变性科学教师的教学实践,目的是学习他们创建性别全纳课程的经验。从这些数据(深入访谈、教学材料样本和反思性教学陈述)中,形成了性别全纳科学教育的 TRANS(跨性别和研究型非二元和性别全纳科学教育方法)框架。该框架立足于通过跨知情视角进行科学教学的三个领域:质疑和获取权力、抵制本质主义以及接受经验知识和个人认识论。这项研究的结果有助于我们加深对性别包容性科学学习环境的理解。重要的是,本研究扩大了教师的经验知识,而在围绕性别和 LGBTQ+ 全纳科学教育实践的研究中,这些教师的声音严重缺失。此外,从教师的经验中得出的框架可用于指导教育工作者使他们的科学课堂更加安全,更具性别包容性。
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引用次数: 0
Preservice elementary teachers' perceptions of their science laboratory instructors in a phenomena-based laboratory and how it impacts their conceptual development 上岗小学教师对基于现象的实验室中科学实验指导教师的看法及其如何影响他们的概念发展
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-02-01 DOI: 10.1002/tea.21926
Alvir S. Sangha, Dermot F. Donnelly-Hermosillo, Frederick P. Nelson

Phenomena-based approaches have become popular for elementary school teachers to engage children's innate curiosity in the natural world. However, integrating such phenomena-based approaches in existing science courses within teacher education programs present potential challenges for both preservice elementary teachers (PSETs) and for laboratory instructors, both of whom may have had limited opportunities to learn or teach science within the student and instructor roles inherent within these approaches. This study uses a convergent parallel mixed-methods approach to investigate PSETs' perceptions of their laboratory instructor's role within a Physical Science phenomena-based laboratory curriculum and how it impacts their conceptual development (2 instructors/121 students). We also examine how the two laboratory instructors' discursive moves within the laboratory align with their's and PSETs' perceptions of the instructor role. Qualitative data includes triangulation between a student questionnaire, an instructor questionnaire, and video classroom observations, while quantitative data includes a nine-item open response pre-/post-semester conceptual test. Guided by Mortimer's and Scott's analytic framework, our findings show that students primarily perceive their instructors as a guide/facilitator or an authoritarian/evaluator. Using Linn's knowledge integration framework, analysis of pre-/post-tests indicates that student outcomes align with students' perceptions of their instructors, with students who perceive their instructor as a guide/facilitator having significantly better pre-/post-outcomes. Additional analysis of scientific discourse from the classroom observations illustrates how one instructor primarily supports PSETs' perspectives on authentic science learning through dialogic–interactive talk moves whereas the other instructor epistemologically stifles personally relevant investigations with authoritative–interactive or authoritative–noninteractive discourse moves. Overall, this study concludes by discussing challenges facing laboratory instructors that need careful consideration for phenomena-based approaches.

以现象为基础的教学方法已成为小学教师吸引儿童对自然世界与生俱来的好奇心的热门方法。然而,将这种以现象为基础的教学方法整合到师范教育项目中的现有科学课程中,对职前小学教师(PSETs)和实验指导教师来说都是潜在的挑战,因为他们在这些教学方法中所固有的学生和指导教师角色中学习或教授科学的机会可能都很有限。本研究采用收敛平行混合方法,调查了小学预任教师(PSET)对实验指导教师在基于物理科学现象的实验课程中所扮演角色的看法,以及这种角色如何影响他们的概念发展(2 名指导教师/121 名学生)。我们还研究了两位实验指导教师在实验室中的话语行动如何与他们和 PSET 对指导教师角色的看法相一致。定性数据包括学生问卷、教师问卷和课堂观察录像之间的三角测量,而定量数据则包括学期前/后九个项目的开放式反应概念测试。在莫蒂默和斯科特的分析框架指导下,我们的研究结果表明,学生主要将教师视为引导者/促进者或独裁者/评价者。利用林恩的知识整合框架,对前后测试的分析表明,学生的成果与学生对教师的看法一致,认为教师是指导者/促进者的学生的前后成果明显更好。课堂观察中对科学话语的其他分析表明,一位教师主要通过对话-互动的谈话方式支持 PSET 对真实科学学习的看法,而另一位教师则通过权威-互动或权威-非互动的话语方式从认识论上扼杀与个人相关的探究。总之,本研究最后讨论了实验指导教师所面临的挑战,这些挑战需要基于现象的方法仔细考虑。
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引用次数: 0
Science for our children: Othermothering leadership within an elementary science network 孩子们的科学小学科学网络中的 "其他母亲 "领导力
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-01-29 DOI: 10.1002/tea.21927
Stefanie L. Marshall, Jessica Forrester, Jenny Tilsen

Transformational equity-centered science education requires the fields of science education and school leadership to critically consider the limited preparation elementary principals are offered to lead for science education. Thus far, little effort has been made to foster a transdisciplinary curricula beyond traditional organizational theories related to school culture and climate; learning sciences; and supervision. School leadership programs are currently inadequately preparing elementary leaders in rigorous pedagogies involving science education. Although the role of principals is often not discussed concerning science implementation in elementary education, principals play a critical role in science decision-making. In this study, the authors present a case study of one elementary principal who also served as an othermother. Othermothers have been described as those who share mothering responsibilities in Black communities. Through interview transcripts, field notes, and social network data, the authors examine how this othermother cared for her students and community by advocating for science instruction. By strategically navigating the socio-political and policy climate and drawing on her authentic relationships, this othermother was critical in implementing a science agenda for elementary science. Three themes that emerged from the data analysis are, (1) othermothers view science as a potential means to transform lives and fulfill the needs of the local community, (2) science policies (i.e., federal, state, and local) can limit the potential of the vision of science an othermother has for the community, (3) othermothers draw on their community to guide equitable science instruction. Overall, othermothers have visions for what science can do. However, they cannot counter the status quo individually. Collective action among educators in various roles is one means of moving an equity agenda concerning science education forward.

以公平为中心的变革性科学教育要求科学教育和学校领导力领域批判性地考虑为小学校长提供的领导科学教育的有限准备。迄今为止,除了与学校文化和氛围、学习科学和监督相关的传统组织理论之外,几乎没有人在培养跨学科课程方面做出努力。目前,学校领导力课程对小学领导者在科学教育的严格教学法方面的培养不足。虽然在小学科学教育的实施过程中,校长的作用往往不被讨论,但校长在科学决策中发挥着至关重要的作用。在本研究中,作者介绍了一位兼任 "他人母亲 "的小学校长的案例研究。其他母亲被描述为黑人社区中分担母亲责任的人。通过访谈记录、现场笔记和社交网络数据,作者研究了这位 "另类母亲 "如何通过倡导科学教学来关爱她的学生和社区。通过战略性地驾驭社会政治和政策环境,并利用她的真实关系,这位他者母亲在实施小学科学的科学议程方面发挥了关键作用。从数据分析中得出的三个主题是:(1)"其他母亲 "将科学视为改变生活和满足当地社区需求的潜在手段;(2)科学政策(即联邦、州和地方政策)可能会限制 "其他母亲 "对社区的科学愿景的潜力;(3)"其他母亲 "利用社区来指导公平的科学教学。总之,其他母亲对科学的作用有自己的看法。然而,她们无法单独应对现状。不同角色的教育者之间的集体行动是推进科学教育公平议程的一种手段。
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引用次数: 0
Causal-mechanical explanations in biology: Applying automated assessment for personalized learning in the science classroom 生物学中的因果-机械解释:在科学课堂中应用自动化评估促进个性化学习
IF 3.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-01-24 DOI: 10.1002/tea.21929
Moriah Ariely, Tanya Nazaretsky, Giora Alexandron

One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time-consuming, and teachers often do not have a clear definition of the educational goals for formulating scientific explanations. Consequently, teachers struggle to support their students in this process. It is hoped that recent advances in machine learning (ML) and its application to educational technologies can assist teachers and learners in analyzing student responses and providing automated formative feedback according to well-defined pedagogical criteria. In this study, we present a method to automate the entire assessment-feedback process. First, we developed a causal-mechanical (CM)-based grading rubric and applied it to student responses to two open-ended items. Second, we used unsupervised ML tools to identify patterns in student responses. Those patterns enable the definition of “meta-categories” of explanation types and the design of personalized feedback adapted to each category. Third, we designed an in-class intervention with personalized formative feedback that matches the response patterns. We used natural language processing and ML algorithms to assess students' explanations and provide feedback. Findings from a controlled experiment demonstrated that a CM-based grading scheme can be used to identify meaningful patterns and inform the design of formative feedback that promotes student ability to construct explanations in biology. We discuss possible implications for automated assessment and personalized teaching and learning of scientific writing in K-12 science education.

科学的核心实践之一是构建科学解释。然而,大量研究表明,构建科学解释给学生带来了巨大挑战。对科学解释进行适当的评估既费钱又费时,而且教师往往对构建科学解释的教育目标没有明确的定义。因此,教师很难在这一过程中为学生提供支持。我们希望机器学习(ML)的最新进展及其在教育技术中的应用能够帮助教师和学习者分析学生的回答,并根据明确的教学标准提供自动形成性反馈。在本研究中,我们提出了一种将整个评估-反馈过程自动化的方法。首先,我们开发了基于因果机械(CM)的评分标准,并将其应用于学生对两个开放式项目的回答。其次,我们使用无监督 ML 工具来识别学生回答中的模式。通过这些模式,我们可以定义解释类型的 "元类别",并根据每个类别设计个性化反馈。第三,我们设计了一种与回答模式相匹配的个性化形成性反馈的课内干预。我们使用自然语言处理和 ML 算法来评估学生的解释并提供反馈。对照实验的结果表明,基于 CM 的评分方案可用于识别有意义的模式,并为形成性反馈的设计提供信息,从而提高学生构建生物学解释的能力。我们讨论了在 K-12 科学教育中对科学写作的自动评估和个性化教学可能产生的影响。
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引用次数: 0
#Resilience is not enough for Black women in STEM: Counterstories of two young Black women becoming a STEM person #对于从事 STEM 的黑人女性来说,光有韧性是不够的:两名年轻黑人女性成为 STEM 人员的反面故事
IF 4.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-01-16 DOI: 10.1002/tea.21925
Roxanne Hughes, Amal Ibourk, Lauren Wagner, Kelli Jones, Samantha Crawford

Both K-12 schools and STEM disciplines are embedded in White supremacy and exclusion, making it that much harder for Black women to maintain an interest and sense of belonging in STEM. Through a Critical Race Feminism methodology, we tell the counterstories of our two co-authors, two Black women, over the course of their lives. Through these counterstories (stories that run counter to normative stories of STEM as male and White), Kelli and Samantha show us how they negotiated and maintained a sense of belonging in STEM even through moments of self-doubt in their STEM trajectory. These negotiations allowed them to carve a space for themselves within STEM. A key finding from these counterstories was the resilience both women developed through their participation in counterspaces and support from family and teachers that helped them develop pride in their STEM identity trajectories. Our study adds to the research on Black women's journeys in STEM by describing resilience strategies that our authors were forced to develop in response to White supremacy and how they were able to maintain their STEM identity by creating a counterstory that allowed them to maintain their sense of belonging within STEM. And yet, we conclude by asking if resilience is enough since both women questioned their authentic and valued place in their respective STEM disciplines because of the dominant storyline of STEM as White and male. Their stories reveal the deeper truth that change is needed in STEM to empower students of color to see themselves as not just tolerated but valued members of the discipline.

K-12 学校和 STEM 学科都根植于白人至上主义和排斥,这使得黑人女性更难保持对 STEM 的兴趣和归属感。通过批判种族女权主义方法,我们讲述了两位共同作者--两位黑人女性--一生中的反面故事。凯莉和萨曼莎通过这些反面故事(这些故事与STEM中男性和白人的规范故事背道而驰),向我们展示了她们如何在STEM的发展轨迹中,即使在自我怀疑的时刻,也能协商并保持对STEM的归属感。这些协商让她们在 STEM 中为自己开辟了一片天地。这些反面故事的一个重要发现是,两位女性通过参与反面空间以及家人和老师的支持,培养了坚韧不拔的精神,帮助她们在 STEM 的身份轨迹中建立了自豪感。我们的研究为有关黑人女性在 STEM 中的历程的研究增添了新的内容,它描述了我们的作者在白人至上主义的影响下被迫发展起来的复原策略,以及她们如何通过创造反故事来保持自己的 STEM 身份,从而使她们在 STEM 中保持归属感。然而,我们最后要问的是,由于白人和男性在 STEM 中占主导地位的故事情节,两位女性都对她们在各自的 STEM 学科中的真实和有价值的地位提出了质疑,因此光靠复原力是不够的。她们的故事揭示了一个更深层次的事实:STEM 需要变革,以增强有色人种学生的能力,让他们看到自己不仅是该学科中被容忍的成员,而且是有价值的成员。
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引用次数: 0
Can either using cognitive science principles or improving teacher content knowledge boost student achievement in middle school science? 使用认知科学原理或提高教师的教学内容知识水平能否提高初中学生的科学成绩?
IF 3.6 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-01-03 DOI: 10.1002/tea.21923
Steven L. Kramer, Janie Scull, Andrew Porter, Christine M. Massey, F. Joseph Merlino, John Y. Baker

This study used a cluster randomized controlled trial to investigate the effectiveness of two approaches to increasing middle school students' science learning when using an inquiry-based science curriculum. Eighty-nine schools, with 253 teachers and 20,591 students, were randomly assigned into one of three conditions: (a) a treatment condition in which the textbook curriculum was modified based on three principles of cognitive science coupled with teacher professional development (PD), (b) a second treatment condition in which teachers received PD designed to improve their knowledge of the science content, and (c) a business-as-usual control group. The cognitive science treatment had a small but statistically significant positive effect on content learning, with a stronger impact on students of higher prior achievement. Compared to business-as-usual, the intervention to increase teacher content knowledge had no impact.

本研究采用分组随机对照试验的方法,调查在使用探究式科学课程时,两种提高初中学生科学学习能力的方法的有效性。八十九所学校的 253 名教师和 20,591 名学生被随机分配到三个条件中的一个:(a)治疗条件,即根据认知科学的三个原则修改教科书课程,并结合教师专业发展(PD);(b)第二个治疗条件,即教师接受旨在提高其科学内容知识的专业发展;以及(c)一切照旧的对照组。认知科学疗法对内容学习产生了微小但具有统计学意义的积极影响,对成绩较好的学生影响更大。与 "一切照旧 "的对照组相比,增加教师内容知识的干预措施没有影响。
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引用次数: 0
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Journal of Research in Science Teaching
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