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The aim of this Special Issue of I JRST i is to provide a platform for thoughtful and critical examinations of translanguaging theory and pedagogy (García & Wei, 2014; Otheguy et al., 2015; Wei, 2018) in the context of science and engineering education. Call for papers: Journal of Research in Science Teaching - Special issue on "Examining translanguaging in science and engineering education research" This Special Issue serves as an opportunity to bring together science and engineering education scholars who are critically engaging with the questions of "what counts as productive means of communication?". [Extracted from the article]

Profound equity challenges persist in efforts to promote community engagement with science, with the intersecting effects of multiple pandemics - racial and economic injustice, COVID-19, and climate change, among others. Call for papers Journal of Research in Science Teaching Special Issue Community-driven science: Evidence of and implications for equity, justice, science learning, and participation While this is often termed "citizen science" or "community science", we see community-driven science specifically as work in which stakeholders are involved in the scientific process from early on as co-owners of a research agenda that is for the I wellbeing i of the community and its members. [Extracted from the article]

Microevolutionary mechanisms are taught almost exclusively in our schools, to the detriment of those mechanisms that allow us to understand the larger picture—macroevolution. The results are demonstrable; as a result of the strong emphasis on micro processes in evolution education, students and teachers still have poor understanding of the processes which operate at the macro level, and virtually no understanding at all of the history of life on our planet. Natural selection has become synonymous with the suite of processes we call evolution. This paper makes the case for a paradigm shift in evolution education, so that both perspectives—micro and macro—are given equal weight. Increasingly, issues of bioethics, human origins, cloning, etc., are being cast in a light that requires an understanding of macroevolution. To deny our students access to this debate is to deny the call for universal science literacy. A methodology from professional practice is proposed that could achieve this goal, and discussed in light of its utility, theoretical underpinnings, and historical legacy. A mandate for research is proposed that focuses on learners' understanding of several challenging macroevolutionary concepts, including species, the formation of higher groups, deep time, and hierarchical thinking. © 2006 Wiley Periodicals, Inc. Sci Ed90:767–783, 2006 [ABSTRACT FROM AUTHOR]

An important aim of undergraduate science education is to develop student skills in reading and evaluating research papers. We have designed, developed, and implemented an on-line interactive resource entitled 'Evaluating Scientific Research literature' (ESRL) aimed at students from the first 2 years of the undergraduate program. In this article, we describe the resource, then use student data collected from questionnaire surveys to evaluate the resource within 2 years of its launch. Our results add to those reported previously and indicate that ESRL can enable students to start evaluating research articles when used during their undergraduate program. We conclude maximal learning is likely to occur when the resource can be embedded in the curriculum such that students have a clearly articulated context for the resource's activities, can see their relevance in relation to assessed assignments and can be encouraged to think deeply about the activities in conversation with one another and/or with staff. © 2017 by The International Union of Biochemistry and Molecular Biology, 45(6):483-490, 2017. [ABSTRACT FROM AUTHOR]

This article describes the development and field test of an instrument, the Views on Science and Education Questionnaire, designed to measure participants' concepts of the nature of science (NOS) and relevant teaching attitudes. The questionnaire includes 15 questions, each followed by several items representing different philosophical positions. Participants rank each item on a five-point scale. The items were empirically based and described from the learners' perspectives, but the issues and subcategories covered were validated by a panel of experts. The latest version was administered to 302 college students. Combined conceptions and conflicting thoughts about NOS were detected. Furthermore, the instrument achieved a test–retest correlation coefficient of 0.82. The questionnaire is a valid and practical tool that can be used to determine participants' conceptions and attitudes toward teaching NOS. With this instrument, science educators and teachers can conduct comparison studies and relate views of NOS to other measurable educational outcomes. © 2006 Wiley Periodicals, Inc. Sci Ed90:803–819, 2006 [ABSTRACT FROM AUTHOR]

This study explores seventh graders' use of inscriptions in a teacher-designed project-based science unit. To investigate students' learning practices during the 8-month water quality unit, we collected multiple sources of data (e.g., classroom video recordings, student artifacts, and teacher interviews) and employed analytical methods that drew from a naturalistic approach. The findings showed that throughout the unit, provided with the teachers' scaffold and social, conceptual, and material resources, the seventh graders were able to use various inscriptions (e.g., digital pictures, Web pages, and models) to demonstrate meaningful inscriptional practices such as creating and using inscriptions to make arguments, to represent conceptual understandings, and to engage in thoughtful discussions. Inscriptions and associated practices provided students with experiences and understandings about certain ways to organize, transform, and link data or scientific ideas. However, when constructing inscriptions, students did not consider how the inscriptions could serve certain reasoning purposes. In addition, more scaffolds were needed to help students use multiple inscriptions to make a coherent argument. © 2006 Wiley Periodicals, Inc. Sci Ed90:852–873, 2006 [ABSTRACT FROM AUTHOR]

The purpose of this 2-year study was to investigate Malawian teacher educators' perspectives and dispositions toward teaching about ecological sustainability issues in Malawi, a developing country in sub-Sahara Africa. This study was embedded in a larger theoretical framework of investigating earth systems science through the understanding of nature–knowledge–culture systems from local, place-based perspectives. Specifically, we were interested in learning more about eco-justice issues that are related to environmental degradation in Malawi and the potential role of inquiry-oriented pedagogies in addressing these issues. In a science methods course, the African educators' views on deforestation and teaching about ecological sustainability were explored within the context of the local environment and culture. Teachers participated in inquiry pedagogies designed to promote the sharing of perspectives related to the connections between culture and ecological degradation. Strategies encouraging dialogue and reflection included role-playing, class discussions, curriculum development activities, teaching experiences with children, and field trips to a nature preserve. Data were analyzed from postcolonial and critical pedagogy of place theoretical perspectives to better understand the hybridization of viewpoints influenced by both Western and indigenous science and the political hegemonies that impact sustainable living in Malawi. Findings suggested that the colonial legacy of Malawi continues to impact the ecological sustainability issue of deforestation. Inquiry-oriented pedagogies and connections to indigenous science were embraced by the Malawian educators as a means to involve children in investigation, decision making, and ownership of critical environmental issues. © 2006 Wiley Periodicals, Inc. Sci Ed90:660–680, 2006 [ABSTRACT FROM AUTHOR]

Comments on the series of articles pertaining to science teacher education and the content and impact of science method courses. Assumptions on the basis of teacher preparation programs; Adoption of conceptual change model; Differences in elementary and secondary science method courses; Reform of science teacher preparation.

Comments on how the issues of teacher knowledge and reflection affect the method of science teaching. Views on teacher education; Findings on the influence of knowledge in thinking and practice; Attitudes important to the reflection; Development of pedagogical content knowledge.

The article announces the first Outstanding Paper of the Year competition of the journal "Science Education." The Outstanding Paper of 1984 Award has been awarded to Glen S. Aikenhead for his paper on "Collective Decision Making in the Social Context of Science." Four Awards of Merit have also been presented to Mary W. Arnaudin and Joel J. Mintzes for their paper "Students' Alternative Conceptions of the Human Circulatory System: A Cross-Age Study."

The article focuses on the study that uses two group paper-pencil batteries, including the Longeot and three puzzles, which were administered to ninth and tenth grade mathematics and science student classes in the U.S. The study found that each of the five paper-pencil subtests discriminates at or between the late concrete and early formal levels while the sixth subtest, which is the mealworm puzzle, discriminate the early formal level. It was indicated that both group batteries were easy to administer and score with a minimum of guidance.

The article examines the relation between traditional and paper-and-pencil formal operations tasks in the U.S. The aim of the study was to provide information based on high school students' performance on both the Tomlinson-Keasey and Campbell measure and a set of traditional, individually administered tasks. The subjects used were 27 children from 9th- and 10th grade. The results of the study indicates that Pearson correlations between the traditional formal operations tasks and their paper-and-pencil analogs were generally low and nonsignificant.

The article discusses the advantages of the term project type of assignment over term papers in learning science. The purpose and meaning of an individual's educational experience is transmitted through a term project. While educators are becoming increasingly skeptical as to whether or not term papers have value in proportion to the time and energies required of both the undergraduates and the instructors, the level of interaction is compulsion. The sample of knowledge covered by a term project is not great, but apparently that sample will be remembered for a long, long time. The opportunity to think through a problem and find a solution proved to be an intriguing and pleasant experience.

This study aims to provide a comprehensive examination of the evolution of regional science, a scholarly domain in the social sciences that applies analytical and quantitative approaches and methods to understand and address urban, rural, or regional problems. We conducted a bibliometric analysis of 8509 articles published in six regional science flagship journals (including the Journal of Regional Science, Annals of Regional Science, Regional Science and Urban Economics, Papers in Regional Science, Regional Science Policy and Practice, and International Regional Science Review) from 1958 to 2021. The analysis presents an objective data‐driven and unprecedented visualization of the field's intellectual, social, and conceptual structure and trends from the beginning to the present. It also provides a rich portrayal of the epistemology of regional science and illuminates matters related to regional science education and training. We find that regional science has moved well beyond its origins, shifting away from a heavy focus on theory and abstraction to modeling/simulation, empirical analysis, and policy research. We also find that there has been increasing attention to "people" in regions and the spatial characteristics of social problems, and some important shifts in the regional science community itself, particularly in terms of patterns of collaboration and the geography of scholarship. The findings of this paper provide implications for future directions of research and education for regional science. [ABSTRACT FROM AUTHOR]

Gender stereotypes in the natural sciences may discourage girls from pursuing STEM fields, thus contributing to the differential STEM pathways of males and females. This paper exploits quasi‐experimental data from a vignette study to investigate teachers' gender bias in STEM at the transition to upper secondary school in Denmark—a key stage in students' educational trajectories. I investigate if teachers have a higher probability of recommending a STEM track to a (vignette) male student compared with a (vignette) female student and if teachers' STEM recommendations interact with their demographic characteristics. Results show that, while there is a gender gap of 10 percentage points in the likelihood of being recommended a STEM track, the difference is not statistically significant. Furthermore, teachers' gender bias is influenced by the teacher's own gender and cultural capital. Consequently, the paper shows that teachers' gender bias varies with teachers' demographic characteristics and teachers with high levels of cultural capital can push back against gender stereotypes in STEM. [ABSTRACT FROM AUTHOR]

This paper is an introduction to and a synthesis of three papers in this issue written by scholars deeply committed to partnering with communities to understand and enact what it means to realize transformational ends in and through science education. Partnering for justice must be a conversation, a work in progress, and a critical examination that leads to intentional and careful forward movement. It is a beautiful effort at flattening power hierarchies so diverse voices and expertise can be interwoven in service of youth and communities who have been invisibilized and marginalized. Committed to realizing new, hope‐filled futures, the three pairs of authors use their experiences and expertise to shed light on the work of partnering using a temporal lens: considerations related to the beginnings, middles, and endings of partnering, each of which requires special intentionality and care. Together the authors share core overlapping tenets with other critical scholars that could be considered a partnering for justice epistemology. This epistemology underscores how importantly different learning through partnering for justice is from traditional notions of academic research. I close the paper by sharing lessons learned from my own 20‐plus years of partnering for justice, using the tenets of partnering for justice epistemology as a lens. [ABSTRACT FROM AUTHOR]

Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas—the core practices of responsive teaching—is a key goal for contemporary science and mathematics teacher education. This mixed‐methods study, employing a virtual reality (VR)‐supported simulation integrated with artificial intelligence (AI)‐powered virtual students, explored the frequent patterns of PSTs' talk moves as they attempted to orchestrate a responsive discussion, as well as the affordances and challenges of leveraging AI‐supported virtual simulation to enhance PSTs' responsive teaching skills. Sequential analysis of the talk moves of both PSTs (n = 24) and virtual students indicated that although PSTs did employ responsive talk moves, they encountered difficulties in transitioning from the authoritative, teacher‐centred teaching approach to a responsive way of teaching. The qualitative analysis with triangulated dialogue transcripts, observational field notes and semi‐structured interviews revealed participants' engagement in (1) orchestrating discussion by leveraging the design features of AI‐supported simulation, (2) iterative rehearsals through naturalistic and contextualized interactions and (3) exploring realism and boundaries in AI‐powered virtual students. The study findings provide insights into the potential of leveraging AI‐supported virtual simulation to improve PSTs' responsive teaching skills. The study also underscores the need for PSTs to engage in well‐designed pedagogical practices with adaptive and in situ support. Practitioner notes What is already known about this topic Developing the teaching capacity of responsive teaching is an important goal for preservice teacher (PST) education. PSTs need systematic opportunities to build fluency in this approach. Virtual simulations can provide PSTs with the opportunities to practice interactive teaching and have been shown to improve their teaching skills. Artificial intelligence (AI)‐powered virtual students can be integrated into virtual simulations to enable interactive and authentic practice of teaching. What this paper adds AI‐supported simulation has the potential to support PSTs' responsive teaching skills. While PSTs enact responsive teaching talk moves, they struggle to enact those talk moves in challenging teaching scenarios due to limited epistemic and pedagogical resources. AI‐supported simulation affords iterative and contextualized opportunities for PSTs to practice responsive teaching talk moves; it challenges teachers to analyse student discourse and respond in real time. Implications for practice and/or policy PSTs should build a teaching repertoire with both basic and advanced responsive talk moves. The learning module should adapt to PSTs' prior experience and provide PSTs with in situ learning support to navigate challenging teaching scenarios. Integrating interaction features and AI‐based virtual students into the simulation can facilitate PSTs' active participation. What is already known about this topic Developing the teaching capacity of responsive teaching is an important goal for preservice teacher (PST) education. PSTs need systematic opportunities to build fluency in this approach. Virtual simulations can provide PSTs with the opportunities to practice interactive teaching and have been shown to improve their teaching skills. Artificial intelligence (AI)‐powered virtual students can be integrated into virtual simulations to enable interactive and authentic practice of teaching. What this paper adds AI‐supported simulation has the potential to support PSTs' responsive teaching skills. While PSTs enact responsive teaching talk moves, they struggle to enact those talk moves in challenging teaching scenarios due to limited epistemic and pedagogical resources. AI‐supported simulation affords iterative and contextualized opportunities for PSTs to practice responsive teaching talk moves; it challenges teachers to analyse student discourse and respond in real time. Implications for practice and/or policy PSTs should build a teaching repertoire with both basic and advanced responsive talk moves. The learning module should adapt to PSTs' prior experience and provide PSTs with in situ learning support to navigate challenging teaching scenarios. Integrating interaction features and AI‐based virtual students into the simulation can facilitate PSTs' active participation. [ABSTRACT FROM AUTHOR]

Research in languages and literacies in science education (LLSE) has developed substantial theoretical and pedagogical insights into how students learn science through language, discourse, and multimodal representations. At the same time, language is central to the functioning of generative artificial intelligence (GenAI). On this common basis concerning the role of language, this paper explores how foundational ideas from LLSE studies can inform the use of GenAI in science education. A bibliometric analysis of 412 journal articles from Web of Science provided the initial step to identify major themes and relationships in the LLSE literature. The analysis revealed four clusters of research in LLSE: reading and writing scientific text, science discourse and interaction, multilingual science classroom, and multimodality and representations. Each cluster was further analyzed through close reading of selected articles to identify and connect key constructs to the potential use of GenAI. These constructs include the interactive‐constructive reading model, text genre, reading‐writing integration, dialogic interaction, critical questioning, argumentation, translanguaging, hybridity, thematic pattern, modal affordance, and transduction. From these ideas and connections, the paper recommends several pedagogical principles for science educators to guide the use of GenAI. It concludes that LLSE research offers valuable insights for researchers and teachers to investigate and design the use of GenAI in science education. In turn, the impending use of GenAI also calls for a rethinking of literacy that will shape future research in LLSE. [ABSTRACT FROM AUTHOR]

This paper presents a multidimensional view of AI's role in education, emphasising the intricate interplay among AI, analytics and human learning processes. Here, I challenge the prevalent narrow conceptualisation of AI as tools in Education, exemplified in generative AI tools, and argue for the importance of alternative conceptualisations of AI for achieving human–AI hybrid intelligence. I highlight the differences between human intelligence and artificial information processing, the importance of hybrid human–AI systems to extend human cognition and posit that AI can also serve as an instrument for understanding human learning. Early learning sciences and AI in Education Research (AIED), which saw AI as an analogy for human intelligence, have diverged from this perspective, prompting a need to rekindle this connection. The paper presents three unique conceptualisations of AI: the externalisation of human cognition, the internalisation of AI models to influence human mental models and the extension of human cognition via tightly coupled human–AI hybrid intelligence systems. Examples from current research and practice are examined as instances of the three conceptualisations in education, highlighting the potential value and limitations of each conceptualisation for human competence development, as well as the perils of overemphasis on approaches that replace human learning opportunities with AI tools. The paper concludes with advocacy for a broader approach to AIED that goes beyond considerations on the design and development of AI and includes educating people about AI and innovating educational systems to remain relevant in an AI ubiquitous world. [ABSTRACT FROM AUTHOR]

Science should provide students an accurate and contemporary education on genetic influence, particularly how it impacts trait variability and developmental norms. Stories involving familial, racial, and sexual differences routinely appear in the popular media and sales of over‐the‐counter genetic tests are mounting. Unfortunately, research suggests genetic curricula in secondary education and university courses have little impact on genetic literacy; instead they appear to amplify genetic essentialism. This position paper reports on genetic essentialism, the impact of three components of science education (teachers, students, curriculum), and critiques existing genetic lessons in two prevalent scientific disciplines, biology and psychology. Two entrenched 19th century genetic paradigms (e.g., Mendelian inheritance and behavioral genetics) are specifically examined. The paper closes with specific recommendations for improving students' genetic literacy including important contemporary genetic science (e.g., epigenetics) and instructional approaches (e.g., learning progression, refutational teaching). [ABSTRACT FROM AUTHOR]

This article presents a simple, cognitive theory of science and learning. The first section of the paper develops the theory's two main propositions: (i) A wide range of scientific activities rely heavily on one type of reasoning, hypothetical thinking, and (ii) This type of reasoning is also useful to students for learning science content. The second section of the paper presents a taxonomy of multiple‐choice questions that use hypothetical thinking and the third section of the paper tests the theory using data from a college biology course. As expected by the theory, student responses to 24 scientific reasoning questions were consistent with a one‐dimensional psychometric construct. Student responses to the scientific reasoning questions explained 36% of the variance in exam grades. Several directions for additional research are identified, including studying the psychometric structure of scientific thinking in more detail, performing randomized, controlled experiments to demonstrate a causal relationship between scientific thinking and learning, and identifying the relative contribution of other factors to success in college. [ABSTRACT FROM AUTHOR]

In recent years, AI technologies have been developed to promote students' self‐regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI‐based (SRLbot) and rule‐based AI chatbots (Nemobot) in a 3‐week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their SRL, while the control group utilized rule‐based AI chatbots. Results showed that SRLbot effectively enhanced students' science knowledge, behavioural engagement and motivation. Quantile regression analysis indicated that the number of interactions significantly predicted variations in SRL. Students appreciated the personalized recommendations and flexibility of SRLbot, which adjusted responses based on their specific learning and SRL scenarios. The ChatGPT‐enhanced instructional design reduced learning anxiety and promoted learning performance, motivation and sustained learning habits. Students' feedback on learning challenges, psychological support and self‐regulation behaviours provided insights into their progress and experience with this technology. SRLbot's adaptability and personalized approach distinguished it from rule‐based chatbots. The findings offer valuable evidence for AI developers and educators to consider generative AI settings and chatbot design, facilitating greater success in online science learning. Practitioner notesWhat is already known about this topic AI technologies have been used to support student self‐regulated learning (SRL) across subjects.SRL has been identified as an important aspect of student learning that can be developed through technological support.Generative AI technologies like ChatGPT have shown potential for enhancing student learning by providing personalized guidance and feedback.What this paper adds This paper reports on a case study that specifically examines the effectiveness of ChatGPT in promoting SRL among secondary students.The study provides evidence that ChatGPT can enhance students' science knowledge, motivation and SRL compared to a rule‐based AI chatbot.The study offers insights into how ChatGPT can be used as a tool to facilitate SRL and promote sustained learning habits.Implications for practice and/or policy The findings of this study suggest that educators should consider the potential of ChatGPT and other generative AI technologies to support student learning and SRL.Educators and students should be aware of the limitations of AI technologies and ensure that they are used appropriately to generate desired responses.It is also important to equip teachers and students with AI competencies to enable them to use AI for learning and teaching. [ABSTRACT FROM AUTHOR]

The article states that the periodical "Science Education" will publish a special issue and implement a new section of the journal focusing on science studies and science education, starting in 2007. The focus of the field of science studies is to understand science as a socio-historical and epistemic effort. The article is seeking to publish papers that focus on how science studies apply to the theory, methodology, policy, and practice of science education. Disciplines of science study include the history, sociology, and philosophy of science, as well as cognitive and anthropological studies of science.

Practical experiments drive important scientific discoveries in biology, but theory‐based research studies also contribute novel—sometimes paradigm‐changing—findings. Here, we appraise the roles of theory‐based approaches focusing on the experiment‐dominated wet‐biology research areas of microbial growth and survival, cell physiology, host–pathogen interactions, and competitive or symbiotic interactions. Additional examples relate to analyses of genome‐sequence data, climate change and planetary health, habitability, and astrobiology. We assess the importance of thought at each step of the research process; the roles of natural philosophy, and inconsistencies in logic and language, as drivers of scientific progress; the value of thought experiments; the use and limitations of artificial intelligence technologies, including their potential for interdisciplinary and transdisciplinary research; and other instances when theory is the most‐direct and most‐scientifically robust route to scientific novelty including the development of techniques for practical experimentation or fieldwork. We highlight the intrinsic need for human engagement in scientific innovation, an issue pertinent to the ongoing controversy over papers authored using/authored by artificial intelligence (such as the large language model/chatbot ChatGPT). Other issues discussed are the way in which aspects of language can bias thinking towards the spatial rather than the temporal (and how this biased thinking can lead to skewed scientific terminology); receptivity to research that is non‐mainstream; and the importance of theory‐based science in education and epistemology. Whereas we briefly highlight classic works (those by Oakes Ames, Francis H.C. Crick and James D. Watson, Charles R. Darwin, Albert Einstein, James E. Lovelock, Lynn Margulis, Gilbert Ryle, Erwin R.J.A. Schrödinger, Alan M. Turing, and others), the focus is on microbiology studies that are more‐recent, discussing these in the context of the scientific process and the types of scientific novelty that they represent. These include several studies carried out during the 2020 to 2022 lockdowns of the COVID‐19 pandemic when access to research laboratories was disallowed (or limited). We interviewed the authors of some of the featured microbiology‐related papers and—although we ourselves are involved in laboratory experiments and practical fieldwork—also drew from our own research experiences showing that such studies can not only produce new scientific findings but can also transcend barriers between disciplines, act counter to scientific reductionism, integrate biological data across different timescales and levels of complexity, and circumvent constraints imposed by practical techniques. In relation to urgent research needs, we believe that climate change and other global challenges may require approaches beyond the experiment. [ABSTRACT FROM AUTHOR]

This research employs the fuzzy‐set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi‐experiment was conducted with 194 seventh‐grade students divided into four groups: AR and CM (N = 52), AR and non‐CM (N = 51), non‐AR and CM (N = 40), non‐AR and non‐CM (N = 51). These students participated in a science lesson on ‘The structure of peach blossom’. This study represents students' science learning outcomes by measuring their academic performance and cognitive load. The fsQCA results reveal that: (1) factors influencing students' academic performance and cognitive load are interdependent, and a single factor cannot constitute a necessary condition for learning outcomes; (2) multiple pathways can lead to the same learning outcome, challenging the notion of a singular best path derived from traditional analysis methods; (3) the configurations of good and poor learning outcomes exhibit asymmetry. For example, high prior knowledge exists in both configurations leading to good and poor learning outcomes, depending on how other conditions are combined. Practitioner notes What is already known about this topic Augmented reality proves to be a useful technological tool for improving science learning. The concept map can guide students to describe the relationships between concepts and make a connection between new knowledge and existing knowledge structures. Individual differences have been emphasized as essential external factors in controlling the effectiveness of learning. What this paper adds This study innovatively employed the fsQCA analysis method to reveal the complex phenomenon of the scientific concept learning process at a fine‐grained level. This study discussed how individual differences interact with AR and concept map strategy to influence scientific concept learning. Implications for practice and/or policy No single factor present or absent is necessary for learning outcomes, but the combinations of AR and concept map strategy always obtain satisfactory learning outcomes. There are multiple pathways to achieving good learning outcomes rather than a single optimal solution. The implementation of educational interventions should fully consider students' individual differences, such as prior knowledge, experience and attitudes. What is already known about this topic Augmented reality proves to be a useful technological tool for improving science learning. The concept map can guide students to describe the relationships between concepts and make a connection between new knowledge and existing knowledge structures. Individual differences have been emphasized as essential external factors in controlling the effectiveness of learning. What this paper adds This study innovatively employed the fsQCA analysis method to reveal the complex phenomenon of the scientific concept learning process at a fine‐grained level. This study discussed how individual differences interact with AR and concept map strategy to influence scientific concept learning. Implications for practice and/or policy No single factor present or absent is necessary for learning outcomes, but the combinations of AR and concept map strategy always obtain satisfactory learning outcomes. There are multiple pathways to achieving good learning outcomes rather than a single optimal solution. The implementation of educational interventions should fully consider students' individual differences, such as prior knowledge, experience and attitudes. [ABSTRACT FROM AUTHOR]

We propose an educational tool for foundation of electricity using conductive pens. Electrical leads for an experiment were drawn on the inkjet printing paper using silver ink marker. Electrical resistances were drawn by two kinds of pens; one was the same silver ink marker and the other was a carbon ink brush pen. A combined resistance was measured and compared with the calculated value. The relative error was less than ±1% in both series and parallel connection with the resistances drawn by the carbon ink brush. Therefore, this is useful to experience and learn the foundation of electricity. [ABSTRACT FROM AUTHOR]

They also observed that spending time having teachers move from data visualizations to data tables is also challenging, but may be a fruitful approach supporting better understanding of the relationships between data and visualizations. Erickson and Engel [[5]] utilize fairly traditional data; however, they explore these data through nontraditional forms of data visualization. The papers in this issue are an important starting point for considering how statistics and data science educators can begin the hard work of preparing students for a more complex society, one driven by data (real and fake) and computing technologies. Traditional statistics education has focused on data from random samples and has capitalized on knowledge about a sample to understand an unknown population. [Extracted from the article]

As the field of K‐12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data feminism to review 42 different educational research and design approaches that engage youth with data, many of which are educational technology intensive and bear on future data‐intensive educational technology research and design projects. We describe how the projects engage students with examining power, challenging power, elevating emotion and lived experience, rethinking binaries and hierarchies, embracing pluralism, considering context, and making labour visible. In doing so, we articulate ways that current data education initiatives involve youth in thinking about issues of justice and inclusion. These projects may offer examples of varying complexity for future work to contend with and, ideally, extend in order to further realize data feminism in K‐12 data science education. Practitioner notesWhat is already known about this topic Data feminism is an emergent framework for changing data practices and discourse in service of equity and justice.Data science education is rapidly growing as a topic of interest in the educational technology research and design communities.Many educational technology and design projects have been launched and shared in publications that preceded the widespread distribution of the data feminism framework.What this paper adds Data feminism is partially re‐articulated in terms familiar to educational technology research communities.Prior and recent projects are organized with respect to how they illustrate potential connections to core data feminism principles.This paper identifies specific strategies that recent projects have used that have potential for realizing data feminism principles.Implications for practice and/or policy Educational technologists can use the re‐articulated principles of data feminism for education to inform their future design work.Tractable steps to achieve data justice that are attainable within existing educational systems can be pursued.Communities can and should bring together multiple ways of knowing to support new educational practices and futures with data. [ABSTRACT FROM AUTHOR]

With improving technology and monitoring efforts, the availability of scientific data is rapidly expanding. The tools that scientists and engineers use to analyse data are changing in response. At the same time, science education standards have shifted to emphasize the importance of students making sense of data in science classrooms. However, it is not yet known whether these exciting new datasets and tools are used science classrooms, and what it would take to facilitate their use. To identify opportunities, research is needed to capture the data practices currently performed in classrooms, and the roles of technology for student learning. Here, we report findings from a survey conducted in the United States of 330 science teachers on the data sources, practices and technologies common to their classroom. We found that teachers predominantly involve their students in analysing relatively small data sets that they collect. In support of this work, teachers tend to use the technologies that are available to them—namely, calculators and spreadsheets. In addition, we found that a subset of teachers used a wide variety of data sources of varying complexity. We discuss what these findings suggest for practice, research and policy, with an emphasis on supporting teachers based on their needs. Practitioner notes: What is already known about this topic Collecting and analysing data are central to the practice of science, and these skills are taught in many science classrooms at the pre‐collegiate (grades K‐12) level.Data are increasingly important in society and STEM, and types and sources of data are rapidly expanding. These changes have implications for science teachers and students. What this paper adds We found that the predominant data source science teachers use is student‐collected, small data sets.Teachers use digital tools familiar and available to them: spreadsheets and calculators.Teachers perceive the cost and time it would take to learn to use digital tools to analyse data with their students as key barriers to adopting new tools.Despite the predominance of small, student‐collected data analysed using spreadsheets or calculators, we also found notable variability in the data sources and digital tools some teachers used with their students. Implications for practice and/or policy Many of the changes called for in science education standards and reform documents, regarding how students should collect and analyse data, have not yet been fully realized in pre‐collegiate classrooms.Science teacher educators and science education researchers should build curricula and develop digital tools based on which kinds of data sources and digital tools teachers presently use, while encouraging more complex data useage in the future. [ABSTRACT FROM AUTHOR]

To integrate research into the teaching of glycoproteins, the story of discovering hydrogen-potassium ATPase (HK-ATPase) β subunit is presented in a way covering all the important teaching points. The interaction between the HK-ATPase α subunit and a glycoprotein of 60-80 kDa was demonstrated to support the existence of the D subunit. On revealing the strategies and experimental designs of this discovery, the knowledge of glycoproteins is delivered. The purpose of this effort was to facilitate the teaching of scientific thinking in the science classroom, to make the biochemistry classroom a more interesting place, and to attract uncertain minds into the career of biochemistry research. [ABSTRACT FROM AUTHOR]

Although adults are known to play an important role in young children's development, little work has focused on the enactive features of scaffolding in informal learning settings, and the embodied dynamics of intergenerational interaction. To address this gap, this paper undertakes a microinteractional analysis to examine intergenerational collaborative interaction in a science museum setting. The paper presents a fine‐grained moment‐by‐moment analysis of video‐recorded interaction of children and their adult carers around science‐themed objects. Taking an enactive cognition perspective, the analysis enables access to subtle shifts in interactants' perception, action, gesture, and movement to examine how young children engage with exhibits, and the role adult action plays in supporting young children's engagement with exhibits and developing ideas about science. Our findings demonstrate that intergenerational "embodied scaffolding" is instrumental in making "enactive potentialities" in the environment more accessible for children, thus deepening and enriching children's engagement with science. Adult action is central to revealing scientific dimensions of objects' interaction and relationships in ways that expose novel types of perception and action opportunities in shaping science experiences and meaning making. This has implications for science education practices since it foregrounds not only "doing" science, through active hands‐on activities, but also speaks to the interconnectedness between senses and the role of the body in thinking. Drawing on the findings, this paper also offers design implications for informal science learning environments. [ABSTRACT FROM AUTHOR]

This paper argues that the plan and study phases of lesson study are productive in helping educators with varied expertise and experience to explore scientific practices like modeling with ties to disciplinary literacy. Points are illustrated with data from a lesson‐study cycle in science that two university‐based teacher educators, one in literacy education and one in science education, conducted with colleagues from a nearby school district. The paper describes lesson study; outlines the role of scientific practices, including modeling, in the Next Generation Science Standards; and describes the context for the work, including the unit explored by the team. Recommendations about how to leverage the plan and study phases of lesson study for disciplinary literacy are offered, along with suggestions for getting started with such work. [ABSTRACT FROM AUTHOR]

Presently, a variety of policies and measures has implemented to enhance the scientific research and innovation ability of medical students, but in the process of practice, there are many problems, such as they lack of independent topic selection ability, weak scientific research skills, lack of autonomous learning ability, the research results are simple and ineffective, limited teacher guidance time and so on. This paper attempted to build an effective model for the promotion of medical students' scientific research and innovation ability, in order to establish an efficacy evaluation model of the "Medical students' Innovative Scientific Research Program." Undergraduates, graduate assistants, and tutors were interviewed with the Behavioral Event Interview technique, and a questionnaire of efficacy evaluation characteristics concluded from the interviews was formed. The questionnaire was conducted on medical students in the Medical students' Innovative Scientific Research Program, and the constructed model was analyzed using reliability analysis, validity analysis, and variation analysis. At the same time, the experimental teaching models are summarized and combed, and compared with other methods such as independent sample test. The results show the model could effectively evaluate the efficacy of the Medical students' Innovative Scientific Research Program and its teaching model is effective in cultivating medical students' learning and scientific research ability. It can provide theoretical support and practical reference for the evaluation and reform of the teaching modes related to the cultivation of scientific and innovative ability of medical students. [ABSTRACT FROM AUTHOR]

The ability to design and interpret controlled experiments is an important scientific process skill and a common objective of science standards. Numerous intervention studies have investigated how the control-of-variables-strategy (CVS) can be introduced to students. However, a meta-analysis of 72 intervention studies found that the opportunity to train CVS skills with hands-on tasks ( g = 0.59) did not lead to better acquisition of CVS relative to interventions without a hands-on component ( g = 0.74). We conducted an intervention study in which we investigated the differential effects of hands-on and paper-and-pencil training tasks on 161 eighth-grade students' achievement. CVS was demonstrated to all students before they were grouped into a hands-on or a paper-and-pencil training condition. In both training conditions, students designed and interpreted experiments about which variables influence the force of electromagnets. Students in the hands-on group interacted with physical equipment while students in the paper-and-pencil group planned experiments using sketches and interpreted the outcome of experiments presented in photographs. We found no general advantage or disadvantage of hands-on tasks, as both groups did equally well on CVS and content knowledge tests. However, hands-on students outperformed paper-and-pencil students on a hands-on test identical to the training tasks, whereas the paper-and-pencil students outperformed hands-on students on a science fair poster evaluation task similar to the paper-and-pencil training. In summary, students learned task-specific procedural knowledge, but they did not acquire a deeper conceptual understanding of CVS or the content domain as a function of type of training. Implications for instruction and assessment are discussed. © 2016 Wiley Periodicals, Inc. J Res Sci Teach 53:980-1002, 2016 [ABSTRACT FROM AUTHOR]

The article discusses the role of research in improving science education in the U.S. The understanding of the process of teaching, learning, and schooling has improved. Thus, rapid societal changes has an impact on the image of the process of schooling in general, and the process of teaching and learning science in particular. With this regard, teachers must engage in constructing a curriculum to enhance the development of all students. Lastly, research should guide and inform policy formation and decision making regarding science teaching, preschool through college.

An introduction to the journal is presented which discusses topics within the issue including curriculum orientations of immigrant parents; key concerns in the teaching of science in schools; and effect of the lens of the teacher on summative assessment decision making.

Workflows, which are at the interface between end-users and computing infrastructures, provide a systematic way of describing complex processes for data analyses and rely on workflow management systems to execute such processes on a variety of distributed resources. In the paper titled "Workflow Provenance in the Lifecycle of Scientific Machine Learning", Souza et al. leveraged workflow provenance techniques to build a holistic view to support the lifecycle of scientific machine learning. Data-intensive workflows (a.k.a. scientific workflows) are routinely used in many scientific disciplines today, especially in the context of parallel and distributed computing. [Extracted from the article]

Undergraduate students enrolled in ecology courses read peer-reviewed, scientific literature to learn how hypotheses are tested and to understand conclusions from research. This technical material can be difficult to understand for many students, thus inhibiting learning processes and reducing interest in courses or associated content. Using creative methods to teach science-based material can improve student-learning outcomes, though students’ perceptions on learning have not been fully evaluated. We qualitatively compared changes in students’ perceived understanding of peerreviewed literature before and after poetry writing assignments. Students were asked to read a randomly assigned peer-reviewed paper focused on waterfowl and/or wetland management and rate their understanding of the (1) results and conclusions and (2) management implications from research described in the paper. We then asked students to read another randomly assigned paper, complete two poems (one haiku and one villanelle) about the paper, and then again rate their understanding of both metrics. With our small sample, we found students rated their perceived understanding of peer-reviewed literature higher after creating student-generated poetry, and they generally appreciated the assignment. Our qualitative results underscore potential merits of incorporating poetry into science learning, and we provide testable hypotheses to further our understanding of how integrating poetry into science-based courses may enhance student learning. [ABSTRACT FROM AUTHOR]

There is a contemporary trend in many major research institutions to de‐emphasize the importance of natural history education in favor of theoretical, laboratory, or simulation‐based research programs. This may take the form of removing biodiversity and field courses from the curriculum and the sometimes subtle maligning of natural history research as a "lesser" branch of science. Additional threats include massive funding cuts to natural history museums and the maintenance of their collections, the extirpation of taxonomists across disciplines, and a critical under‐appreciation of the role that natural history data (and other forms of observational data, including Indigenous knowledge) play in the scientific process. In this paper, we demonstrate that natural history knowledge is integral to any competitive science program through a comprehensive review of the ways in which they continue to shape modern theory and the public perception of science. We do so by reviewing how natural history research has guided the disciplines of ecology, evolution, and conservation and how natural history data are crucial for effective education programs and public policy. We underscore these insights with contemporary case studies, including: how understanding the dynamics of evolutionary radiation relies on natural history data; methods for extracting novel data from museum specimens; insights provided by multi‐decade natural history programs; and how natural history is the most logical venue for creating an informed and scientifically literate society. We conclude with recommendations aimed at students, university faculty, and administrators for integrating and supporting natural history in their mandates. Fundamentally, we are all interested in understanding the natural world, but we can often fall into the habit of abstracting our research away from its natural contexts and complexities. Doing so risks losing sight of entire vistas of new questions and insights in favor of an over‐emphasis on simulated or overly controlled studies. [ABSTRACT FROM AUTHOR]

Using Mary Shelley's Frankenstein as inspiration, this paper presents a Frankenstein‐themed transmedia storytelling experience, which encompasses simple hands‐on activities and an online narrative experience that allows students to model scientific work and engage in various science activities. The study aimed to test whether students can develop higher science and creative self‐efficacy beliefs, and a stronger science curiosity, by engaging in the transmedia experience that combined hands‐on and online narrative activities compared with participating in only hands‐on or online narrative experiences. Our paper presents findings from two classroom studies using survey findings. Results show that all three conditions (hands‐on, online game experience and transmedia) had a significant positive impact on learners' self‐efficacy beliefs and curiosity, but there was no additional benefit for the transmedia condition. Nevertheless, our work has various implications for learning sciences about the potential benefits and drawbacks of transmedia storytelling experiences. Our findings can help educators and researchers design and run transmedia storytelling projects. Practitioner notesWhat is already known about this topic Transmedia storytelling is a popular and adaptable learning application.Transmedia storytelling can be beneficial due to transfer of learning.Transmedia storytelling may foster learners' engagement and knowledge acquisition.What this paper adds The paper presents a Frankenstein‐themed transmedia experience that combines digital and hands‐on activities and borrows several themes from Mary Shelley's Frankenstein; or, the Modern Prometheus.Findings from this study show that transmedia storytelling can boost learners' science and creative self‐efficacy beliefs and science curiosity.However, transmedia storytelling combining digital and hands‐on experiences is not more effective in bolstering self‐efficacy beliefs and curiosity than digital or hands‐on experiences alone.Implications for practice and/or policy Transmedia storytelling might have unintended consequences for learning because it may exhaust learners' cognitive resources.Learners' transliteracy skills and competencies may influence what benefits they gain from partaking in transmedia storytelling experiences.Educators need to take learners' transliteracy skills into consideration when they wish to design and/or use transmedia storytelling experiences for learning purposes. [ABSTRACT FROM AUTHOR]

Background Objectives Methods Results and Conclusions The adoption of virtual laboratories (VLs) has experienced a significant surge, catalysed by the global changes in the educational landscape, notably influenced by the COVID‐19 pandemic. Originally supplementary to traditional in‐person laboratory experiments, VLs swiftly transitioned into a primary source of hands‐on laboratory activities for educational institutions worldwide during the pandemic. As restrictions have eased, virtual, computer‐assisted learning platforms continue to be used, though now as a complement to, rather than a substitute for, hands‐on experimentation opportunities. However, their adoption presents both opportunities and challenges that require thorough investigation to maximize their effectiveness and equity.This paper aims to provide a comprehensive overview of VL resources utilized across various scientific disciplines. It evaluates their potential to enhance traditional hands‐on laboratory activities and examines the efficacy of computer‐assisted learning platforms from a constructivist learning perspective. By doing so, the study seeks to identify best practices, challenges, and strategies for the effective integration of VLs in science education.A content analysis was conducted on literature published from 2013 to 2023, focusing on VLs in educational settings. Thematic analysis was employed to categorize the findings into three primary pillars: Merits, Challenges, and Implementation Strategies. Multiple researchers participated in the analysis to ensure reliability and consistency. To further enhance reliability, regular cross‐checks and consensus meetings were held to resolve any discrepancies and maintain the integrity of the thematic categorization. A constructivist learning perspective was used to analyse the instructional implications, focusing on active learning to evaluate alignment with educational goals, adapted teaching methods, and assessments.The analysis revealed that VLs offer significant benefits, including enhanced accessibility, flexibility, and opportunities for active learning. Virtual labs provide scalable, safe opportunities for inquiry‐based science learning by replicating experiments in an accessible digital environment, enhancing understanding of scientific concepts based on research demonstrations of improved learning outcomes. However, challenges such as high initial setup costs, technological barriers, and the need for effective integration with traditional curricula were also identified. Despite these challenges, VLs have the potential to complement and enhance hands‐on laboratory experiences, provided they are implemented thoughtfully and equitably. Future research should focus on improving the efficacy, accessibility, collaboration among stakeholders, and economic feasibility of VLs to maximize their educational impact. [ABSTRACT FROM AUTHOR]

The predominant conceptualization of scientific literacy occurs on the micro scale of an individual person. However, scientific literacy can also be exhibited at the meso scale by groups of people in communities of place, practice, or interest. What comprises this community level scientific literacy (CSL) is both understudied and undertheorized. In this paper, we utilized a systematic literature review to describe how CSL is characterized in the extant literature and a Delphi survey of experts to elicit more current thought. Guided by cultural‐historical activity theory, inductive and deductive analyses produced seven elements of CSL and their constituent characteristics: (1) resources, (2) attributes of those resources, (3) actors, (4) interactions between actors, (5) contexts, (6) topics, and (7) purposes. The typology created through this process is meant to be generative, serving as a starting point for continuing refinement within science education and other fields related to science learning and knowing. [ABSTRACT FROM AUTHOR]

When learning about scientific phenomena, students are expected to mechanistically explain how underlying interactions produce the observable phenomenon and conceptually connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing and refining computational models using real‐world data can support students in developing mechanistic and canonically accurate explanations of diffusion. Specifically, we examine two types of shifts in how students explain diffusion as they create and refine computational models using real‐world data: a shift towards mechanistic reasoning and a shift from noncanonical to canonical explanations. We present descriptive statistics for the whole class as well as three student work examples to illustrate these two shifts as 6th grade students engage in an 8‐day unit on the diffusion of ink in hot and cold water. Our findings show that (1) students develop mechanistic explanations as they build agent‐based models, (2) students' mechanistic reasoning can co‐exist with noncanonical explanations, and (3) students shift their thinking toward canonical explanations after comparing their models against data. These findings could inform the design of modeling tools that support learners in both expressing a diverse range of mechanistic explanations of scientific phenomena and aligning those explanations with canonical science. [ABSTRACT FROM AUTHOR]

Background: Science history is a discipline that teaches the development of scientific thought and the discoveries of scientists. However, these topics can sometimes be abstract and difficult to understand. The use of technology can make the teaching of the history of science more effective, engaging, and accessible. By providing students with visual and interactive experiences, it allows them to better understand abstract concepts and closely follow the discoveries of scientists. In this way, history of science lessons can become more appealing and conducive to learning for students. Objectives: This research aims to design and develop a Mobile Augmented Reality (MAR) environment that can be used for teaching science history. Methods: The research was conducted using a design‐based research method consisting of four stages: Analysis, design, development‐implementation‐evaluation, and reporting. The research involved 10 science teachers and five secondary school students. Data were collected through focus group interviews, individual interviews, notes, audio recordings, and images, and then analysed using content analysis. Results and Conclusions: As a result of the research, a MAR application named TISAR‐3D was developed, which allows students to interactively and visually explore scientists and enrich their learning experience. Implications: The widespread use of the TISAR‐3D application in science history education is recommended, as well as the development of similar MAR applications for other topics. Lay Description: What is known about this topic: AR technology is an increasingly used technology in education.AR technology is effective in teaching the history of science.AR makes abstract concepts concrete and provides interactive experiences for students. What this paper adds: The research focuses on the development of a MAR application called TISAR‐3D.The application supports Turkish and English languages and offers voice narration.The role of scientists in the history of science is not sufficiently known.Scientists are not adequately represented in textbooks. Implications of the study findings for practitioners: Include more scientists in the app for a broader learning experience.Include more interactive activities in the app for a fun learning experience.Teachers should extend more time to accommodate the app's use in class. [ABSTRACT FROM AUTHOR]

Background: Science teachers' understanding of the roles of computing practices in science frame how they enact scientific computational practices in their teaching and how their students perceive the relationship between computational practices and scientific endeavours. Objectives: This critical, integrative review synthesizes teacher learning literature about the role of computational literacy and computing practices in K‐12 science teaching. Methods: We examined 54 peer‐reviewed articles and analysed the ways the researchers and teacher participants describe the affordances of integrating computational thinking (CT) and other computational practices in science. We characterize how CT and computational practices are framed in relation to scientific learning goals. We identify six primary affordances for integrating computational practices with science that are conveyed to teachers and by teachers, as represented in these studies of teacher learning. Results and Conclusions: These six perspectives include (1) learning computer science principles, (2) developing CT dispositions, (3) engagement and inclusion in science, (4) taking ownership of science, (5) supporting learning science content, and (6) participating in computational practice as a form of scientific epistemic practice. Our analysis indicates that computational thinking and computational practices are often integrated in science in order to teach something about computing (e.g., Perspective 1), rather than to support learners' scientific work. Only the 29 articles coded for the sixth perspective—that is, in service of epistemic aims in science—demonstrate commitment to students' uses of computational ideas and practices as epistemic tools to participate in the sensemaking work of science. Takeaways: Comparison of Perspectives 5 and 6 illustrates the nuance between computational practices in science that reify something students have already "figured out," rather than those that serve epistemic goals. Perspective 6 encapsulates the deep synergy among (1) the reflexive nature of computing with scientific ideas and (2) computing as a central practice in science and engineering. We contend that a more focused message of computational practices in service of scientific sensemaking goals is necessary if we expect teachers to enact CT and related computational practices in their classrooms. Lay Description: What is already known about this topic?: Science teachers' understanding of the roles of computing practices in science frame how they enact scientific computational practices in their teaching. What this paper adds?: We analysed 54 peer‐reviewed articles regarding teacher learning about the role of computational literacy and computing practices in K‐12 science teaching.We characterized the ways the researchers and teacher participants describe the affordances of integrating computational thinking (CT) and other computational practices in science.We present six primary affordances for integrating computational practices with science that are conveyed to teachers and by teachers, as represented in these studies of teacher learning. These six perspectives include (1) learning computer science principles, (2) developing CT dispositions, (3) engagement and inclusion in science, (4) taking ownership of science, (5) supporting learning science content, and (6) computational practices in service of epistemic aims in science. Implications for practice and/or policy: We find that computational thinking and computational practices are often integrated in science in order to teach introductory computer science principles, but not to support the original science learning aims.Only the 29 of 54 articles demonstrate commitment to students' uses of computational ideas and practices as epistemic tools to participate in the sensemaking work of science.We contend that a more focused message of computational practices in service of scientific sensemaking goals is necessary if we expect teachers to enact CT and related computational practices in their classrooms. [ABSTRACT FROM AUTHOR]

Studies of both professional science practice and children's science learning show that care is not merely ancillary to disciplinary work but a core and generative constituent of science practice. In science education research, however, students' care is often overlooked. In this paper, we describe the expression of care across two STEM classrooms (6th and 9th grade) studying biology and ecology and participating in a pen pal exchange. We analyze artifacts from the pen pal exchange as well as students' retrospective interviews and written reflections. Two ways of expressing care surfaced in students' letters: caring for guppies and caring for pen pals. We describe each form of care using examples from our data. We find that students' care for guppies and pen pals was both instrumental (in service of their investigations) and intrinsic (positioning guppies and pen pals as inherently valuable). We then connect these findings to studies of care in children's science learning and in professional science. We discuss methodological and practical implications for recognizing and analyzing how students' care manifests in classrooms and for designing learning activities that cultivate care. [ABSTRACT FROM AUTHOR]

This paper presents a literature review of science teaching approaches that seek to support equity in science classrooms, focusing on marginalization based on (i) race/ethnicity, (ii) social class/socioeconomic background, and (iii) religion. Considered were approaches that science teachers can use in science classes in secondary schools. They were analyzed and discussed against the backdrop of critical pedagogy by Paulo Freire and the educational theory by Hannah Arendt, which constitutes a novelty in science education research. The review used meta interpretation combined with systematic searches in the ERIC database. It is, thus, limited to works published in English. A total of 930 articles (2013–2021) were identified out of which 64 were fully analyzed. The analysis shows that most approaches strive to provide more equal access to the existing science knowledge and structures of the community. This corresponds to the introduction to the "old world" in a conservative interpretation of Arendt's term. I argue that in addition, it is necessary to employ a more radical interpretation of the "old world" as fundamentally plural which is done in translanguaging and grappling with racism. Further, the transformative nature of science education needs to be strengthened in terms of Freire's critical pedagogy and Arendt's concept of natality. This means allowing students to become aware of oppressive structures to induce change. Only youth participatory science, youth participatory action research, and grappling with racism explicitly aim for this. This shows that nuanced perspectives on equity in science education are needed. [ABSTRACT FROM AUTHOR]