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Engaging with socio-scientific issues often involves making sense of how – and for whom – actions, choices, and policies might affect aspects of daily life. Understanding the complexity of socio-scientific issues also requires recognizing the interconnectedness of – and working across – multiple communities and professions. We suggest that art, whether musical composition, illustrations, or sculpture / collage across materials would promote the synthesis of different types of knowledge across different scales and systems. The present investigation seeks to understand how arts integration into STEM curriculum could support systems thinking around socio-scientific issues, specifically around the issue of pathogen transmission in rural-agricultural communities. Our after-school program, which works with 3rd – 5th grade students in rural-agricultural communities, leverages the arts to promote systems-level understanding of zoonotic diseases and ecosystem dynamics. A total of 23 students across two sites located in rural communities in the Western United States participated in our afterschool program. We found that after completing the program students expanded their understanding of both the connections between concepts and an understanding of careers related to ecosystem dynamics. We suggest that educators can integrate both arts and sciences together to enhance systems thinking and expand student perception of the interconnectedness of STEM disciplines and their everyday lives.
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Exploring system dynamics of complex societal issues through socio-scientific models
Research on socio-scientific issues (SSI) has revealed that it is critical for learners to develop a systematic understanding of the underlying issue. In this paper, we explore how modeling can facilitate students’ systems thinking in the context of SSI. Building on evidence from prior research in promoting systems thinking skills through modeling in scientific contexts, we hypothesize that a similar modeling approach could effectively foster students’ systematic understanding of complex societal issues. In particular, we investigate the affordances of socio-scientific models in promoting students’ systems thinking in the context of COVID-19. We examine learners’ experiences and reflections concerning three unique epistemic features of socio-scientific models, (1) knowledge representation, (2) knowledge justification, and (3) systems thinking. The findings of this study demonstrate that, due to the epistemic differences from traditional scientific modeling approach, engaging learners in developing socio-scientific models presents unique opportunities and challenges for SSI teaching and learning. It provides evidence that, socio-scientific models can serve as not only an effective but also an equitable tool for addressing this issue.
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- Award ID(s):
- 2101083
- PAR ID:
- 10532015
- Publisher / Repository:
- Frontiers in Education
- Date Published:
- Journal Name:
- Frontiers in Education
- Volume:
- 8
- ISSN:
- 2504-284X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Socioscientific issues (SSI) are problems involving the deliberate use of scientific topics that require students to engage in dialogue, discussion, and debate. The purpose of this project is to utilize issues that are personally meaningful and engaging to students, require the use of evidence-based reasoning, and provide a context for scientific information. Social justice is the pursuit of equity and fairness in society by ensuring that all individuals have opportunities to challenge and address inequalities and injustices to create a more just and equitable society for all (Killen et al. Human Development 65:257–269, 2021). By connecting science, technology, engineering, and mathematics (STEM) concepts to personally meaningful contexts, SSI can empower students to consider how STEM-based issues reflect moral principles and elements of virtue in their own lives and the world around them (Zeidler et al. Science Education 89:357–377, 2005). We employed a qualitative research design to answer the following questions: (1) In what ways, if any, did teachers help students grow their knowledge and practices on social justice through socioscientific issues? (2) In teachers’ perceptions, what components of SSI did students learn and what are their challenges? (3) In teachers’ perceptions, what are students’ stances on social justice? After completing the first year and second-year professional development programs, grades 6–12 STEM teachers were asked to complete a reflection on classroom artifacts. Teachers were asked to select student artifacts (e.g. assignments, projects, essays, videos, etc.) that they thought exemplified the students’ learning of SSI and stance on social justice. Based on 21 teacher-submitted examples of exemplar student work, we saw the following example pedagogies to engage their students on social justice: (a) making connections to real-world experiences, (b) developing a community project, (c) examining social injustice, and (d) developing an agency to influence/make changes. According to teachers, the most challenging SSI for students was elucidating their own position/solution, closely followed by employing reflective scientific skepticism. Moreover, the students exemplified reflexivity, metacognition, authentic activity, and dialogic conversation. Using SSI in classrooms allows students to tackle real-world problems, blending science and societal concerns. This approach boosts understanding of scientific concepts and their relevance to society. Identifying methods like real-world connections and examining social injustice helps integrate social justice themes into science education through SSI. Overall, SSI promotes interdisciplinary learning, critical thinking, and informed decision-making, enriching science education socially. This study highlights the value of integrating SSI in science education to engage students with social justice.more » « less
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Long, Tammy M (Ed.)Historic challenges in the biological sciences, such as the spread of disease and climate change, have created an unprecedented need for humans to engage with scientific information to address societal problems. However, understanding these socioscientific issues (SSI) can be hard due to the difficulty of comprehending their complex structures and behaviors, the intentional propagation of misinformation, and an insufficient understanding of the epistemic practices that scientists use to develop relevant knowledge. Education researchers have highlighted additional problems in the way science is taught with a focus mainly on concepts rather than practices, competing curricular mandates, and professional development activities that do not provide usable knowledge. The research reported here follows more than a decade of work using agent-based computational models to support the comprehension and analysis of complex biological systems. Our recent work has aimed to build tools and strategies to support students in decision making about complex SSIs. In this paper, we discuss 7 design challenges and principles that underpin this recent focus. Specifically, we combine agent-based modeling with strategies to develop students’ epistemic performance in high school biology curricula. We then provide a detailed case study of how the 7 design principles were used to create a disease epidemic model and unit anchored in the biology topic of the nature of science. Our goal is to offer a comprehensive set of research-derived design principles that can bridge classroom experiences in biology to applications of SSIs.more » « less
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The global pandemic and climate change have led to unprecedented environmental, social, and economic challenges with interdisciplinary STEM foundations. Even as STEM learning has never been more important, very few pre-college programs prepare students to address these challenges by emphasizing socio-scientific issue (SSI) problem solving and the engineering design of solutions to address local phenomena. The paper discusses the design and evaluation of a pre-college, SSI curricular unit where students expand their learning by creating solutions to increase biodiversity within local urban neighborhoods. The learning approach, which we call eco-solutioning, builds from current vision and policy documents in STEM education emphasizing phenomenon-centric instructional materials, science investigations, and engineering design. The paper outlines design principles for creating an eco-solutioning instructional unit that guides young students to: collect and analyze data on local organisms, use an engineering design approach to craft solutions to increase local biodiversity, and present their solutions to local city planners and community members. Two cycles of research studies evaluated student learning using paired t-tests. Results demonstrated significant pre-post learning outcomes in both research cycles. A third research cycle in the form of a summer extension program supported students as they implemented their local solutions. Conclusions highlight design principles for the successful creation of SSI curricular units centered on local environmental issues of interest to students, teachers, and stakeholders.more » « less
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IntroductionDisagreements between people on different sides of popular issues in STEM are often rooted in differences in “mental models,” which include both rational and emotional cognitive associations about the issue; especially given these issues are systemic in nature. MethodsIn the research described here, we employ the fuzzy cognitive mapping software MentalModeler (developed by one of the authors)1as a tool for articulating implicit and explicit assumptions about one’s knowledge of both the environmental and social science and values underpinning complex system related issues. More specifically, we test the assumption that this pedagogical approach will foster certain aspects of perspective taking that can be traced with cognitive development and systems thinking as students not only articulate their own understanding of an issue, but also articulate the view of others. Results and discussionResults are discussed with respect to systems thinking that is developed through this type of modeling.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3389/feduc.2023.1219224
