In the United States, the Next Generation Science Standards advocate for the integration of computational thinking (CT) as a science and engineering practice. Additionally, there is agreement among some educational researchers that increasing opportunities for engaging in computational thinking can lend authenticity to classroom activities. This can be done through introducing CT principles, such as algorithms, abstractions, and automations, or through examining the tools used to conduct modern science, emphasizing CT in problem solving. This cross‐case analysis of nine high school biology teachers in the mid‐Atlantic region of the United States documents how they integrated CT into their curricula following a year‐long professional development (PD). The focus of the PD emphasized data practices in the science teachers' lessons, using Weintrop et al.'s definition of data practices. These are: (a) creation (generating data), (b) collection (gathering data), (c) manipulation (cleaning and organizing data), (d) visualization (graphically representing data), and (e) analysis (interpreting data). Additionally, within each data practice, teachers were asked to integrate at least one of five CT practices: (a) decomposition (breaking a complex problem into smaller parts), (b) pattern‐recognition (identifying recurring similarities in data practices), (c) algorithms (the creation and use of formulas to predict an output given a specific input), (d) abstraction (eliminating detail in order to generalize or see the “big picture”), and (e) automation (using computational tools to carry out specific procedures). Although the biology teachers integrated all CT practices across their lessons, they found it easier to integrate decomposition and pattern recognition while finding it more difficult to integrate abstraction, algorithmic thinking, and automation. Implications for designing professional development experiences are discussed.
Back to Computational Transparency: Co-designing with Teachers to Integrate Computational Thinking in Science Classrooms
Integrating computational thinking (CT) in the science classroom presents the opportunity to simultaneously broaden participation in computing, enhance science content learning, and engage students in authentic scientific practice. However, there is a lot more to learn on how teachers might integrate CT activities within their existing curricula. In this work, we describe a process of co-design with researchers and teachers to develop CT-infused science curricula. Specifically, we present a case study of one veteran physics teacher whose conception of CT during a professional development institute changed over time. We use this case study to explore how CT is perceived in physics instruction, a field that has a long history of computational learning opportunities. We also discuss how a co-design process led to the development of a lens through which to identify fruitful opportunities to integrate CT activities in physics curricula which we term computational transparency–purposefully revealing the inner workings of computational tools that students already use in the classroom.
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- NSF-PAR ID:
- 10199196
- Date Published:
- Journal Name:
- International Conference of the Learning Sciences
- Issue:
- Jun-2020
- Page Range / eLocation ID:
- 2069-2076
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract -
null (Ed.)While the Next Generation Science Standards set an expectation for developing computer science and computational thinking (CT) practices in the context of science subjects, it is an open question as to how to create curriculum and assessments that develop and measure these practices. In this poster, we show one possible solution to this problem: to introduce students to computer science through infusing computational thinking practices ("CT-ifying") science classrooms. To address this gap, our group has worked to explicitly characterize core CT-STEM practices as specific learning objectives and we use these to guide our development of science curriculum and assessments. However, having these learning objectives in mind is not enough to actually create activities that engage students in CT practices. We have developed along with science teachers, a strategy of examining a teacher’s existing curricula and identifying potential activities and concepts to “CT-ify”, rather than creating entirely new curricula from scratch by using the concept of scale as an “attack vector” to design science units that integrate computational thinking practices into traditional science curricula. We demonstrate how we conceptualize four different versions of scale in science, 1. Time, 2. Size, 3. Number, and 4. Repeatability. We also present examples of these concepts in traditional high school science curricula that hundreds of students in a large urban US school district have used.more » « less
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Kong, S.C. (Ed.)This work aims to help high school STEM teachers integrate computational thinking (CT) into their classrooms by engaging teachers as curriculum co-designers. K-12 teachers who are not trained in computer science may not see the value of CT in STEM classrooms and how to engage their students in computational practices that reflect the practices of STEM professionals. To this end, we developed a 4-week professional development workshop for eight science and mathematics high school teachers to co-design computationally enhanced curriculum with our team of researchers. The workshop first provided an introduction to computational practices and tools for STEM education. Then, teachers engaged in co-design to enhance their science and mathematics curricula with computational practices in STEM. Data from surveys and interviews showed that teachers learned about computational thinking, computational tools, coding, and the value of collaboration after the professional development. Further, they were able to integrate multiple computational tools that engage their students in CT-STEM practices. These findings suggest that teachers can learn to use computational practices and tools through workshops, and that teachers collaborating with researchers in co-design to develop computational enhanced STEM curriculum may be a powerful way to engage students and teachers with CT in K-12 classrooms.more » « less
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Abstract As professional science becomes increasingly computational, researchers and educators are advocating for the integration of computational thinking (CT) into science education. Researchers and policymakers have argued that CT learning opportunities should begin in elementary school and span across the K‐12 grades. While researchers and policymakers have specified how students should engage in CT for science learning, the success of CT integration ultimately depends on how elementary teachers implement CT in their science lessons. This new demand for teachers who can integrate CT has created a need for effective conceptual tools that teacher educators and professional development designers can use to develop elementary teachers' understanding and operationalization of CT for their classrooms. However, existing frameworks for CT integration have limitations. Existing frameworks either overlook the elementary grades, conceptualize CT in isolation and not integrated into science, and/or have not been tested in teacher education contexts. After reviewing existing CT integration frameworks and detailing an important gap in the science teacher education literature, we present our framework for the integration of CT into elementary science education, with a special focus on how to use this framework with teachers. Situated within our design‐based research study, we (a) explain the decision‐making process of designing the framework; (b) describe the pedagogical affordances and challenges it provided as we implemented it with a cohort of pre‐ and in‐service teachers; (c) provide suggestions for its use in teacher education contexts; and (d) theorize possible pathways to continue its refinement.
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null (Ed.)This study investigates how teachers verbally support students to engage in integrated engineering, science, and computer science activities across the implementation of an engineering project. This is important as recent research has focused on understanding how precollege students’ engagement in engineering practices is supported by teachers (Watkins et al., 2018) and the benefits of integrating engineering in precollege classes, including improved achievement in science, ability to engage in science and engineering practices inherent to engineering (i.e., engineering design), and increased awareness of engineering (National Academy of Engineering and the National Research Council; Katehi et al., 2009). Further, there is a national emphasis on integrating engineering, science, and computer science practices and concepts in science classrooms (NGSS Lead States, 2013). Yet little research has considered how teachers implement these disciplines together within one classroom, particularly elementary teachers who often have little prior experience in teaching engineering and may need support to integrate engineering design into elementary science classroom settings. In particular, this study explores how elementary teachers verbally support science and computer science concepts and practices to be implicitly and explicitly integrated into an engineering project by implementing support intended by curricular materials and/or adding their own verbal support. Implicit use of integration included students engaging in integrated practices without support to know that they were doing so; explicit use of integration included teachers providing support for students to know how and why they were integrating disciplines. Our research questions include: (1) To what extent did teachers provide implicit and explicit verbal support of integration in implementation versus how it was intended in curricular materials? (2) Does this look different between two differently-tracked class sections? Participants include two fifth-grade teachers who co-led two fifth-grade classes through a four-week engineering project. The project focused on redesigning school surfaces to mitigate water runoff. Teachers integrated disciplines by supporting students to create computational models of underlying scientific concepts to develop engineering solutions. One class had a larger proportion of students who were tracked into accelerated mathematics; the other class had a larger proportion of students with individualized educational plans (IEPs). Transcripts of whole class discussion were analyzed for instances that addressed the integration of disciplines or supported students to engage in integrated activities. Results show that all instances of integration were implicit for the class with students in advanced mathematics while most were explicit for the class with students with IEPs. Additionally, support was mainly added by the teachers rather than suggested by curricular materials. Most commonly, teachers added integration between computer science and engineering. Implications of this study are an important consideration for the support that teachers need to engage in the important, but challenging, work of integrating science and computer science practices through engineering lessons within elementary science classrooms. Particularly, we consider how to assist teachers with their verbal supports of integrated curricula through engineering lessons in elementary classrooms. This study then has the potential to significantly impact the state of knowledge in interdisciplinary learning through engineering for elementary students.more » « less
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