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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]

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]

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 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]

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 notes What 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. What 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]

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]

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]

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]

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]

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]

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]

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]

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]

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.

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]

Concepts in science education such as "science identity" and "science capital" are informed by dominant epistemological and ontological positions, which translate into assumptions about what counts as science and whose science counts. In this theoretical paper we draw on decolonial and antiracist perspectives to examine these assumptions in light of the heterogeneous onto‐epistemological and axiological values, cultural perspectives, and contributions of nondominant groups, and specifically of those who have been historically marginalized based on their gender, race, ethnic, age, and/or social class identity. Building on these arguments, we critique deficit‐based approaches to science teaching, learning, and research, including those that focus on systemic injustice, yet leave intact dominant framings of the scientific enterprise, which are exclusionary and meritocratic. As an alternative, we offer a design of science teaching and learning for the pluriverse—"a world where many worlds fit". This alternative allows us to reconstruct science and science‐related "outcomes," such as identity, in the service of cultural, epistemic, and linguistic pluralism. We close the paper with the idea that because mainstream theories reproduce deficit framings and educational injustices, we must engage with decolonial1 theories of pluriversality and discuss different onto‐epistemologies to be able to grapple with existing social, racial, environmental injustices, and land‐based devastations. [ABSTRACT FROM AUTHOR]

This paper is one of three sequential papers interrogating equity in partnerships (or partnering relationships [PRs]) in science, technology, engineering, and mathematics education. In this piece, we prioritize abundance framing and dignity‐conferring work when engaging in partnerships with and for communities who have been historically marginalized. We propose a framework of seven drivers that define the directions and/or success of PRs: (1) mission, vision, or values; (2) goals or outcomes; (3) practices or processes; (4) power, privilege, or oppression; (5) communities and geography; (6) time and urgency; and (7) partners. This framework can be used to examine PRs at any phase of their existence to ensure equity‐centered and dignity‐conferring processes and outcomes. We discuss case studies that are common or specific challenges or frustrations that occur in nonequity‐centered PRs. We frame these as six vexations: (1) sustainable PRs; (2) dignity‐conferring PRs; (3) repetitive PRs; (4) political PRs; (5) "mission trip" PRs; (6) and deceptive PRs. We address these by using a data feminist lens (a perspective inspired by the book Data Feminism that centers on justice in defining and presenting outcomes), and future dreamings (a perspective that centers on potential ahead) to define our suggestions for designing intentional endings of partnerships. [ABSTRACT FROM AUTHOR]

Current science instruction does not educate K‐12 students equitably and creates short‐ and long‐term impacts on individual students and society. While students may be present in class, they may not have access to quality science learning experiences. The goals of this paper are to show how science instruction may not be reaching its aim of equitable access and to offer recommendations for creating a new baseline standard for equitable science instruction. Though not exhaustive, this paper identifies groups of students who are marginalized in current‐day science instruction—the racially minoritized, those with physical and cognitive differences, and those in urban or rural communities. First, this paper challenges the neutrality of science by highlighting systemic yet negative outcomes that disproportionately impact minoritized populations in everyday life because of the narrow network of people who define and solve problems. Second, this paper identifies examples where science instruction is not of its highest quality for the highlighted groups. Third, we present a synthesis of research‐informed solutions proposed to improve both the quality of science instruction and its equitable access for the highlighted groups, creating a new baseline standard for equitable science instruction. An elevated baseline would address the existing disparities in who has access to quality science instruction and consequently reduce the gatekeeper effect of who defines and solves societal problems that perpetuate intergenerational inequities. [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 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]

New reforms in science education call for three‐dimensional learning by integrating disciplinary core ideas, science and engineering practices, and crosscutting concepts (CCCs). These reforms defined the new term, crosscutting concept (CCC), as a lens that has explanatory power across disciplines. To describe how researchers are examining and using the CCCs related to science teaching and learning, a literature review was conducted to identify articles that included the term "crosscutting concept" since its introduction in 2012. The articles were narrowed to those that use the term CCC as a component of the framing, analysis, findings, or discussion of their empirical or nonempirical article. A subset of the identified papers elaborated on the CCCs beyond existing policy documents and references. These papers were open‐coded to identify themes in how the CCCs were used. The identified themes suggest that the CCCs are useful for science teaching, learning, and research in terms of creating opportunities to learn, connecting to the big idea, linking to practice, drawing on funds of knowledge, and connecting across topics and disciplines. These themes were analyzed to identify areas of existing focus and those in need of additional research. This synthesis of the literature has implications for using and studying the CCCs within three‐dimensional teaching and learning. [ABSTRACT FROM AUTHOR]

Families commonly document their outings by capturing their experiences through digital photographs and videos. However, little is known about the ways in which families engage their personal mobile devices to document educational family outings and how they subsequently talk about the digital artifacts that captured their informal learning experiences. This paper presents new evidence on family digital artifact creation during an informal science institution (ISI) visit, the expected and actual uses of their digital artifacts after the visit, and family conversations reminiscing about the ISI visit with the digital artifacts. Using a concurrent triangulation mixed‐methods design, data on family digital artifact creation during an aquarium visit (N = 204) and digital artifact use after the visit (n = 67) were collected using parent surveys. Audio‐recorded parent‐child conversations with a subset of families (n = 25) document whether and how families use their digital artifacts to reminisce about the aquarium visit. Quantitative findings detail family digital technology practices during informal learning experiences, and qualitative findings suggest evidence of informal science learning in the everyday interactions of the families who elected to continue the study. The study indicates that family storytelling and digital technology practices may help to bridge informal science learning from ISI to home and frames family non‐participation within an anti‐deficit perspective. [ABSTRACT FROM AUTHOR]

Science educators are integrating more and more computational thinking (CT) activities into their curricula. Proponents of CT offer two motivations: familiarizing students with a realistic depiction of the computational nature of modern scientific practices and encouraging more students from underrepresented backgrounds to pursue careers in science, technology, engineering, and mathematics. However, some studies show that increasing exposure to computing may not necessarily translate to the hypothesized gains in participation by female students and students of color. Therefore, paying close attention to students' engagement in computationally intense science activities is important to finding more impactful ways to promote equitable science education. In this paper, we present an in‐depth analysis of the interactions among a small, racially diverse group of high school students during a chemistry unit with tightly integrated CT activities. We find a salient interaction between the students' engagement with the CT activities and their social identification with publicly recognizable categories such as "enjoys coding" or "finds computing boring." We show that CT activities in science education can lead to numerous rich interactions that could, if leveraged correctly, allow educators to facilitate more inclusive science classrooms. However, we also show that such opportunities would be missed unless teachers are attentive to them. We discuss the implications of our findings on future work to integrate CT across science curricula and teacher education. [ABSTRACT FROM AUTHOR]

Background and purpose: Neurology residency programmes, which were first established at the beginning of the 20th century, have become mandatory all over Europe in the last 40–50 years. The first European Training Requirements in Neurology (ETRN) were published in 2005 and first updated in 2016. This paper reports the most recent revisions of the ETRN. Methods: Members of the EAN board performed an in depth revision of the ETNR 2016‐version, which was reviewed by members of the European Board and Section of Neurology of the UEMS, the Education and Scientific Panels, the Resident and Research Fellow Section and the Board of the EAN, as well as the presidents of the 47 European National Societies. Results: The new (2022) ETRN suggest a 5‐year training subdivided in three phases: a first phase (2 years) of general neurology training, a second phase (2 years) of training in neurophysiology/neurological subspecialties and a third phase (1 year) to expand clinical training (e.g., in other neurodisciplines) or for research (path for clinical neuroscientist). The necessary theoretical and clinical competences as well as learning objectives in diagnostic tests have been updated, are newly organized in four levels and include 19 neurological subspecialties. Finally, the new ETRN require, in addition to a programme director, a team of clinician‐educators who regularly review the resident's progress. The 2022 update of the ETRN reflects emerging requirements for the practice of neurology and contributes to the international standardization of training necessary for the increasing needs of residents and specialists across Europe. [ABSTRACT FROM AUTHOR]

For the last 28 years, one of the leading international science education organisations has regularly provided a week‐long summer school experience for doctoral students. In summer 2020, the COVID‐19 pandemic prevented international travel and close‐contact interactions between scholars. This required the transformation and relocation of learning interactions between mentors and doctoral students online through a virtual week‐long summer school. All doctoral participants, from across the five continents, were invited to reflectively comment on their educative experience after the online event. This paper consequently presents the perspectives of these science education PhD students who engaged with the transformed virtual summer school to consider how the range of varied online interactions maintained the learning opportunities for them and enabled their introduction to an established research community. The study indicates how the digital activities facilitated and maintained high‐quality learning exchanges through a varied array of intellectual activities involving both experienced and novice scholars. The findings demonstrate how successful academic outcomes can be achieved remotely while minimising international travel and significantly reducing financial outlay. This was achieved through creatively structuring a week‐long virtual experience and combining a series of synchronous and asynchronous learning opportunities for different groupings of participants within the international summer school community. Practitioner notesWhat is already known about this topic Doctoral students often feel that studying for their research degree is a very solitary experience.Supporting doctoral students to discuss their research with peers and more experienced others can address the feelings of isolation.The pandemic restricting face‐to‐face interaction constrains how learning can unfold in online contexts.It is possible to provide doctoral support through online means, however, the exact nature of such is not clearly defined.What this paper adds Clear evidence that doctoral learning communities [involving university students and tutors] can be successfully developed through online virtual environments.That online working can afford and extend doctoral learning, develop beginning researcher identities and provide students the opportunity to become part of an international research community whatever their geographical setting and prior socio‐cultural experiences.Clarity about the nature of online activities that ensure an appropriate blend of the kind of synchronous and asynchronous interactions that effectively support virtual online doctoral learning.The Community of Practice COP theoretical framework can offer a useful way of looking at different dimensions of higher degree learning.Implications for practice and/or policy This paper provides advice for those who would like to develop their own virtual learning networks that bring together learners from universities and wider organisations to develop a community of learning.That an appropriate blend of synchronous and asynchronous interactions can mediate and support doctoral students, aiding them to effectively become more knowledgeable members of an international research community within a short space of time.That international virtual events can successfully achieve learning outcomes while also minimising overseas travel, significantly reducing financial expenditure and individual carbon footprints. [ABSTRACT FROM AUTHOR]

Teaching science can provide opportunities for young children to explore and learn about the world around them and, equally important, to support children's language development. Yet, recent research suggests that children's access to science education is limited, especially in early and elementary education. Since language is critical to children's success in learning to read, teachers need access to a variety of venues to develop these foundational literacy skills. This paper provides evidence of the importance of teaching science in an effort to teach science ideas and develop children's language. In addition, this paper describes a range of approaches teachers can use to facilitate inquiry‐based science education and oral language development simultaneously. When educators engage children in high‐quality science experiences, they present children with the opportunity to develop both science ideas and language. [ABSTRACT FROM AUTHOR]

In this paper, we argue that the current science curricula are failing to educate students to be competent outsiders to science. Historically, science education has rested on two premises. The first is that it is possible for students to acquire sufficient scientific knowledge from K‐12 education to become intellectually independent. That is that science education can produce individuals capable of evaluating scientific evidence and arguments critically for themselves. This belief is what underlies many of the conceptions of scientific literacy and is the basis of the rationale that is used to sustain and justify what is offered in nearly all countries across the globe. The second is the belief that the science that students will encounter will have been filtered such that it can be trusted. Nothing today could be further from the truth. Today, misinformation abounds and much of it purports to be scientific. Very few conceptions of scientific literacy have considered how students can be prepared to evaluate the claims that abound on social media. Current conceptions of "scientific literacy," we argue, are failing to articulate the competencies and knowledge required in today's changed context. In what follows, we lay out our arguments for why it is time to rethink the conception of scientific literacy by considering what it requires to be a competent outsider to science. Then drawing on our recent report, we lay out what might be done within science education to address the specific phenomenon of misinformation. [ABSTRACT FROM AUTHOR]

In this position paper, we introduce the concept of socioscientific capital (SSC) to denote students' resources that unequivocally play a part when students learn about and make decisions regarding socioscientific issues (SSIs). Students use a variety of resources when they engage with SSI. Our conceptualization of SSC expands on current conceptualizations to refer to resources related to both the scientific and the non‐scientific aspects of SSI, including internal resources (personal experiences, values, attitudes, beliefs, knowledge, and skills), external resources (family, friends, communities, and media), and meta‐level resources (dominant frames and cultures). Aiming to strengthen SSI education, we argue for taking into account how students' resources impact their SSI‐related learning and decision‐making. To this end, insight into students' SSC is needed and is imperative for teachers. By bringing together literature about SSI education and literature about students' resources, we provide a conceptual view on students' SSC and describe implications for SSI education. [ABSTRACT FROM AUTHOR]

Research in the field of technology‐enhanced learning has argued for a broader scope of technology‐supported learning environments to include the design of activity systems which position students as active thinkers by reorganizing learning with technology around the practices of scholarly communities. In the context of elementary ecosystems science, this entails structuring classroom activity around the construction and evaluation of epistemic artifacts, such as scientific models and representations, that profitably direct learners' conceptual efforts toward productive forms of inquiry and the construction of new scientific knowledge. In this demonstration‐of‐concept paper, we present EcoMOD, an elementary ecosystems science curriculum that blends an immersive virtual environment with an agent‐based computational modeling tool to support growth in ecological knowledge and scientific practice in learners aged 8 to 11 years old. Specifically, we explore how the design of the EcoMOD activity system supported students' active thinking in scientific inquiry through transformative modeling practices. Analysis of student activity and discourse indicates that engagement in transformative activities supported students in developing more nuanced causal explanations of the ecosystem by the end of the curriculum. Practitioner NotesWhat is already known about this topic Authentic virtual simulations can transform classroom learning experiences, particularly when organized around the production of epistemic artifacts.Computational modeling and programming tools are successful in supporting ecosystems knowledge construction and complex causal reasoning in learners.Engagement in transformative modeling practices are integral to the construction of new scientific knowledge.What this paper adds Suggests a design framework for meaningfully blending immersive virtual environments with computational modeling and programming tools to support active thinking in scientific inquiry.Demonstrates multi‐modal techniques for formative and summative assessment.Indicates that children in this age range are able, with appropriate support, to acquire knowledge and skills well above what is described in curriculum standards.Implications for practice and/or policy Offers practitioners an effective approach for productively integrating computational modeling, science content and inquiry‐based practices within elementary science instruction.Demonstrates to policymakers the practicality, affordability and value of immersive learning technologies and agent‐based modeling in classroom settings. [ABSTRACT FROM AUTHOR]

This study proposes a strategic framework to guide teachers' curriculum adaptation, planning, and enactment as a lever for redistributing epistemic agency. This framework intends to position teachers as strategic decision‐makers around when and how to open up aspects of their curriculum. We argue that seeing the aspects of Next Generation Science Standards‐aligned curricula—the methods of investigation, the anchoring phenomena, and the explanatory models students construct—as entry points for redistributing epistemic agency may help teachers make inroads to shifting their classroom practice towards more responsive instruction. Importantly, our tool acknowledges that there are different "levels" at which teachers might strategically decide to open up space for student decision‐making. These decisions may have a differential impact on students' subsequent participation in science practices. In this paper, we will use three cases to highlight the specific and incremental ways that teachers can open up aspects of the curriculum and how those openings redistributed epistemic agency in their classroom. We argue that this framework may be used as a tool for engaging teachers in conversation about how they can begin to position students as partners in the epistemic decisions that drive classroom activity. [ABSTRACT FROM AUTHOR]

Research from cognitive science and geoscience education has shown that sketching can improve spatial thinking skills and facilitate solving spatially complex problems. Yet sketching is rarely implemented in introductory geosciences courses, due to time needed to grade sketches and lack of materials that incorporate cognitive science research. Here, we report a design-centered, collaborative effort, between geoscientists, cognitive scientists, and artificial intelligence ( AI) researchers, to characterize spatial learning challenges in geoscience and to design sketch activities that use a sketch-understanding program, CogSketch. We developed 26 CogSketch worksheets that use cognitive science-based principles to scaffold problem solving of spatially complex geoscience problems and report observations of an implementation in an introductory geoscience course where students used CogSketch or human-graded paper worksheets. Overall, this research highlights the principles of interdisciplinary design between cognitive scientists, geoscientists, and AI researchers that can inform the collaborative design process for others aiming to develop effective educational materials. [ABSTRACT FROM AUTHOR]

Teaching to support students' sense‐making is challenging. It requires continuous, context‐dependent decision‐making about which student ideas to pursue, when, how, and why. This paper presents a single case study of an experienced teacher, Nadine, as an illustrative case in order to provide a rich description of this teacher's decisional episodes. Specifically, we characterize Nadine's pedagogical reasoning for decisions to make space for or close down student sense‐making while facilitating whole‐class discussions. We analyzed video recordings of (1) Nadine's classroom teaching over the course of two instructional units, (2) classroom moments tagged by Nadine or researchers in the midst of her teaching capturing her rationales for instructional decisions, and (3) interviews about those tagged moments. Using constant‐comparative analytic methods, we identified three dimensions of criteria that Nadine considered in her decisions about whether to pursue student ideas: (1) disciplinary potential, (2) potential for fostering the classroom community, and (3) curricular considerations. We present four episodes that feature Nadine's reasoning, two in which she intentionally made space for student sense‐making and two in which she intentionally closed down lines of student reasoning. Regardless of the decision, the criteria Nadine considered were sometimes aligned, supporting a straightforward decision, and other times created tensions. Across four episodes, we show how Nadine navigated multidimensional criteria; considered students' long‐term trajectories; and considered for whom pursuing sense‐making would be beneficial. We argue that these navigational considerations might serve as focal points as teachers, researchers, and professional learning facilitators make sense of teachers' instructional decisions as they occur during instruction and that leveraging them to open opportunities for discourse with teachers can support complex teaching practices. [ABSTRACT FROM AUTHOR]

This article responds to commentaries on a paper about applying machine learning to assess scientific models. The authors argue that the commentaries are talking past each other due to different perspectives on artificial intelligence (AI) in science education assessment. They focus on the conflation of multiple definitions of bias in AI and emphasize the importance of productive conversations between sociopolitical and technical perspectives. The article also discusses the different forms of bias that can occur at each stage of the AI lifecycle and the need for interdisciplinary research teams to address these issues. The authors provide an example of how technical and critical conversations can come together in the development of a teacher dashboard for assessing students' progress in learning about energy. They conclude by emphasizing the importance of ongoing discussions and considerations of the human side of AI in science education. [Extracted from the article]

In considering goals for science education, it is conventional to make arguments for the utility of scientific knowledge for a variety of purposes. Less prominent are rationales based on the beauty or truth of science. In this paper, we examine how an approach to science education might be different if we shift the goals of communication to an appreciation of the ways in which our knowledge is limited, and how the practical boundaries of our knowledge can be closer than we think—in other words, how we are collectively ignorant. Key to this approach is a renewed understanding of the role of material investigations in providing partial knowledge. Instead of providing incontrovertible evidence, empirical investigations provide a form of "explanatory excess" whereby the appropriate choice of explanation is not necessarily one that can be simplistically determined. Although scientific practices provide techniques to minimize the possibility of error in making our conclusions, these practices are performed by fallible human communities, from which the notion of "tentative, yet durable" claims derives. We argue that public scientific literacy may be better served by more circumspect claims of validity, and crucially, an enhanced understanding of the ways in which materiality influences epistemic processes and limits our claims. We illustrate these proposals through the case of the International Young Physicists' Tournament, a contest that invites participants to play with interesting physical phenomena for over a year. We identify three factors prominent in these tournament problems that present possibilities for increasing the authenticity of practical investigations. These are (i) multiple physical interactions in phenomena leading to the openness of choice of explanatory theory; (ii) the qualitative, subjective nature of the explanatory utility of theories; and (iii) the material contingency of empirical investigations. We argue that a more open‐handed embrace of the limits of our knowledge may serve as a better epistemic orientation for science instruction. [ABSTRACT FROM AUTHOR]

This study reports on an innovative version of adaptive primary literature (APL) that we call Science Behind the Scenes used during a summer professional development (PD) program. Classroom teachers read and discussed papers from the primary literature, and created translations of these papers relevant to their own classroom needs. We randomly selected 31 teacher-created Science behind the Scenes products for evaluation with a rubric that was aligned with the K-12 Science Education Frameworks (2012). In addition, we interviewed groups of teachers at follow-up sessions and individual teachers who used the APL in their classrooms. We used frameworks for grounded theory to sort the interview text and descriptive statistical measures for quantitative data. Our analysis reveals two key findings: (i) the teachers created respectable adaptations of primary scientific literature into APL; and (ii) the teachers used the APL products in their classrooms to support the discourse of science and disciplinary literacy, and to create a bridge to the scientific enterprise. Our findings have implications for instructional design, curricular materials, professional development, and science education. © 2016 Wiley Periodicals, Inc. J Res Sci Teach 53: 847-894, 2016 [ABSTRACT FROM AUTHOR]

All authors were participants in the associated NSF-sponsored project Science Education Campaign for Research, Equity & Teaching (NSF #2029956). The first two essays of this issue belong among those published as the I Equity-Centered Science Education i Special Issue. Her framing and commentary piece complements the following papers published in the special issue: Kang, H., & González-Howard, M. (2022). [Extracted from the article]

The advancement of technologies has promoted the increasing popularity and integration of mobile technologies in science education in the past decade. These trends have led to an increased interest among scholars to understand the effects of mobile technologies in science education and whether those effects differ depending on how mobile technologies are used in learning and teaching (eg, student‐led, teacher‐led, collaborative). In this study, we performed a meta‐analysis of 34 studies that directly examined the effects of users' pedagogical role on K‐16 students' achievement in science when engaging in mobile learning (ML). The analysis of the 34 studies yielded an overall significant main effect of ML on K‐16 science learning outcomes. We applied the mixed‐effects model with moderator variables and found that users' pedagogical role significantly moderated the ML effects as a whole. Collaborative and student‐led uses had a statistically significant impact on student science learning, whereas teacher‐led use did not. Findings from this meta‐analysis are consistent with prior research, providing synthesized research‐based evidence of the effects of ML on science learning that holds implications for both mobile curriculum design and mobile technology use. Practitioner notesWhat is already known about this topicMobile technology has been increasingly adopted in science learning with great potential to support learning and teaching.Prior meta‐analysis has suggested multiple moderators in measuring the mobile learning effect.Prior empirical studies examined the effect of mobile users' pedagogical role in the specific subject domains (eg, physics) and grade levels (eg, high school).What this paper addsThis meta‐analysis is among the first to examine the moderator effect of mobile users' pedagogical roles on ML in K‐16 science education.This study found that mobile technology use is associated with significant science learning outcomes across 34 studies.This study found that the effect of mobile learning was moderated by mobile users' pedagogical roles (ie, who initiated the use). Collaborative use between teachers and students tends to be the most effective. Teacher‐led use tends to be the least effective.Implications for practiceThis study suggests that we should consider who leads the use of mobile technology when integrating mobile learning in science education.In particular, educators should encourage collaborative and student‐led mobile use for learning and instruction. [ABSTRACT FROM AUTHOR]

This paper's focus is on the "middle" of partnerships for equity in science education. Middle is used in a temporal sense, meaning the time after the general purposes and terms of working together have been set and before outcomes have been achieved. The middle of the partnership also represents people interacting, bounded around the edges, by their institutional roles, norms, resources, and priorities. As co‐authors who had not previously collaborated (or even met in person), we approached the construction of this manuscript as a dialogue where we learn by sharing narrations of experiences and values and principles. We were inspired by the conversational book between Horton and Freire (1990) and specifically their discussion of "Is it possible to just teach biology?" (p. 102). In our conversation, we illustrate the ways in which partnerships may make justice‐oriented science education possible. Our focus is on complementary and contradictory knowledges, and ways of knowing, institutional resources and constraints, and strategies for making transformative change. We explore the middle of partnerships as a series of opportunities for learning and growing, caring for one another, and building solidarity spaces together. [ABSTRACT FROM AUTHOR]

While there is evidence to support the existence of identity‐based disparities, inequities, and biases in the academic journal peer‐review process, little research supports the presence of this bias in the peer‐review process for academic journals in science education. Through an analysis of six leading journals in science education, we aimed to investigate the extent to which diversity, equity, and inclusion (DEI), as well as the presence of bias in the peer‐review process, are addressed by these journals. We analyzed trends in the gender/sex, geographical affiliation, race/ethnicity, and the presence of equity‐centered research focus for members of these journals' editors and editorial boards. We found that although gender/sex is well‐balanced in these journals' editors and editorial boards, they are typically North American centric, and White individuals are overwhelmingly represented. Four journals had a quarter or more of individuals who pursue equity‐centered research. Only two journals provided detailed information on how manuscripts are reviewed in their author submission guidelines. All used a double‐blind approach to peer‐review. One of the journals includes an explicit position on DEI. Based on the analyses and reflections on our own experiences, we recommend science education journals consider ways to probe whether bias does exist in their peer‐review process, diversify their board to be more inclusive of scholars from communities historically marginalized, and move to a triple‐blind approach to their peer‐review process as mechanisms to mitigate bias in the journal peer review. [ABSTRACT FROM AUTHOR]

Addressing equity issues in science education requires a reorientation to how science students are advised and how science, technology, engineering, and mathematics (STEM) education, particularly science, is viewed. STEM education is often figuratively described as a pipeline containing students who leak out before reaching the nexus of their STEM education/career journey. The authors of this paper argue that STEM education must be viewed from an ecosystems perspective, where students interact with one another, their physical environment and cultural contexts, and other humans who can support them in becoming STEM professionals. Within this STEM ecosystem, many individuals have a pivotal role in supporting students as they learn and develop within the science field. These individuals, particularly advisors, must possess knowledge, beliefs, skills, and dispositions that help students cultivate a sense of belonging, engage them in critical thinking about their academic and career choices, and aid their identity development in learning as becoming in STEM professions. The authors describe who these individuals are, the roles they play, and also provide practical examples, using vignettes, of how advisors can support students of color pursuing science degrees and careers. Finally, recognizing that students' STEM advising ecosystem operates at any grade level or stage of life, the authors have organized the descriptive portion of this study according to the following levels elementary, secondary, undergraduate, graduate, and career. [ABSTRACT FROM AUTHOR]

Recent years have seen a growing call for inquiry‐based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology‐supported inquiry‐based learning (mIBL) in secondary science education. More evidence‐based, nuanced insights are needed into how using mobile technologies might facilitate students' engagement with various levels of inquiry and enhance their science learning. We, therefore, conducted a robust systematic literature review (SLR) of the research articles on mIBL in secondary school science education that have been published from 2000 to 2019. We reviewed and analysed 31 empirical studies (34 articles) to explore the types of mIBL, and the benefits and constraints of mIBL in secondary school science education. The findings of this SLR suggest new research areas for further exploration and provide implications for science teachers' selection, use and design of mIBL approaches in their teaching. Lay Description: What is already known about this topic?: Inquiry‐based learning (IBL) in science education is a pedagogical approach in which students' learning is driven by an investigative question.The use of mobile technologies can create customized learning opportunities for science students.Mobile technology‐supported IBL (mIBL) can enable seamless science learning experiences. What this paper adds?: Presents a systematic review of empirical studies of mIBL in secondary school science education published from 2000 to 2019;Describes the fundamental research foci, settings and contexts of mIBL studies;Develops a synthesis of 31 empirical studies leading to a categorization of types of mIBL; andPresents the benefits and constraints of mIBL in science education. Implications for practice and/or policy: Provide opportunities for science teachers to rethink the use of different types of mIBL;Learn how to organize activities for implementing various types of mIBL;Inform developers and policymakers about ways of using mobile technologies to support IBL;Outline future research developments of mIBL in secondary science education. [ABSTRACT FROM AUTHOR]

Given the growing global environmental threats, shifts to increasingly binary thinking that isolate and polarize discourse, and the erosion of caring for each other and our places, the authors believe it is imperative that we change the way science and science, technology, engineering, and math (STEM) education connect with communities and are taught in school. As part of the larger study, this paper explores how the integration of STEMS2 Pedagogy with community based problem solving (re)shapes two case‐study teachers' learning environments and serves as a tool to facilitate decolonizing STEM education by addressing the research question. Research question: How does the integration of community‐based problem‐solving and STEMS2 Pedagogy impact how the case study teachers think about STEM education and the design of STEM curriculum? Drawing from longitudinal critical ethnographic case studies and Hawaiian hermeneutics frameworks, two public school educators (co‐authors), we collected data between Fall 2017 to Fall 2021. The inductive analysis process described above resulted in two key claims: (1) Grounding STEM instruction in place strengthens sense of place and kuleana, and (2) Strengthening one's sense of kuleana changes the measure of success. [ABSTRACT FROM AUTHOR]

This paper investigates the suitability and interpretability of a data‐driven deep learning algorithm for multi cross sectional overstrength factor prediction. For this purpose, we first compile datasets consisting of experiments from literature on the overstrength factor of circular, rectangular and square hollow sections as well as I‐ and H‐sections. We then propose a novel multi‐head encoder architecture consisting of three input heads (one head per section type represented by respective features), a shared embedding layer as well as a subsequent regression tail for predicting the overstrength factor. By construction, this multi‐head architecture simultaneously allows for (i) the exploration of the nonlinear embedding of different cross‐sectional profiles towards the overstrength factor within the shared layer, and (ii) a forward prediction of the overstrength factor given profile features. Our framework enables for the first time an exploration of cross‐section similarity w.r.t. the overstrength factor across multiple sections and hence provides new domain insights in bearing capacities of steel cross‐sections, a much wider data exploration, since the encoder‐regressor can serve as meta model predictor. We demonstrate the quality of the predictive capabilities of the model and gain new insights of the latent space of different steel sections w.r.t. the overstrength factor. Our proposed method can easily be transferred to other multi‐input problems of Scientific Machine Learning. [ABSTRACT FROM AUTHOR]