Computational thinking is identified as one of the “essential skills for 21st-Century students.” [1] Studies of CT in school programs are being funded by many organizations, including the United States National Science Foundation. In this paper, we describe “lessons learned” over the first two years of a research program (PREDICTS: Principles and Resources for Educators to Infuse Computational Thinking in the Sciences) with the goal of developing knowledge of how to integrate CT into introductory high school biology and chemistry classes for all students. Using curricular modules developed by program staff, two in biology and two in chemistry, teachers piloting the program engaged students in CT with computational evidence from authentic tools in order to develop understanding of science concepts. Each module, representing about a week of instruction, addresses science ideas in the prescribed course of study for high school programs. Project researchers have collected survey data on teachers’: (1) beliefs about effective science teaching; (2) beliefs about their effectiveness as a science teacher and their students’ ability to learn science, and; (3) content preparedness. In addition, we observed module implementation, collected and analyzed student artifacts, and interviewed teachers at the conclusion of module implementation. Preliminary results indicated some challengesmore »
Infusing computational thinking instruction into elementary mathematics and science: Patterns of teacher implementation
In this brief paper, we will share preliminary results of a study of how elementary-school teachers take up computational thinking (CT) ideas and incorporate them into their mathematics and science teaching. We describe the teachers’ school contexts, the professional development experiences in which they engaged, and our preliminary analyses of how they used computational thinking within their enacted lessons. In brief, the seven teachers in this study exhibited three patterns of implementation: (1) using computational thinking to guide their own planning and thinking; (2) using computational thinking to structure their lessons; and (3) presenting computational thinking concepts to students as general problem solving strategies.
- Award ID(s):
- 1738677
- Publication Date:
- NSF-PAR ID:
- 10095784
- Journal Name:
- Society for Information Technology & Teacher Education International Conference
- Sponsoring Org:
- National Science Foundation
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Despite increasing attention to the potential benefits of infusing computational thinking into content area classrooms, more research is needed to examine how teachers integrate disciplinary content and CT as part of their pedagogical practices. This study traces how middle and high school teachers (n = 24) drew on their existing knowledge and their experiences in a STEM professional development program to infuse CT into their teaching. Our work is grounded in theories of TPACK and TPACK-CT, which leverage teachers’ knowledge of technology for computational thinking (CT), CT as a disciplinary pedagogical practice, and STEM content knowledge. Findings identify three key pedagogical supports that teachers utilized and transformed as they taught CT-infused lessons (articulating a key purpose for CT infusion, scaffolding, and collaborative contexts), as well as barriers that caused teachers to adapt or abandon their lessons. Implications include suggestions for future research on CT infusion into secondary classrooms, as well as broader recommendations to support teachers in applying STEM professional development content to classroom practice.
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Abstract 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 givenmore »
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A key strategy for bringing computer science (CS) education to all students is the integration of computational thinking (CT) into core curriculum in elementary school. But teachers want to know how they can do this on top of their existing priorities. In this paper, we describe how our research-practice partnership is working to motivate, prepare, and support an elementary school to integrate equitable and inclusive computer science into core curriculum. Data were collected from teachers at a K-5 school where 65% of students are Hispanic or Latinx, 46% are English Learners, and 65% are eligible for free or reduced lunch. Data included semi-structured interviews, educators’ written reflections, and observations of classroom implementation and professional development. The findings show how the school is building buy-in and capacity among teachers by using a coaching cycle led by a Teacher on Special Assignment. The cycle of preparation, implementation, and reflection demystifies CS by helping teachers design, test, and revise coherent lesson sequences that integrate CT into their lessons. Contrasting case studies are used to illustrate what teachers learned from the cycle, including the teachers’ reasons for the integration, adaptations they made to promote equity, what the teachers noticed about their students engaging inmore »
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Incorporating computational thinking (CT) ideas into core subjects, such as mathematics and science, is one way of bringing early computer science (CS) education into elementary school. Minimal research has explored how teachers can translate their knowledge of CT into practice to create opportunities for their students to engage in CT during their math and science lessons. Such information can support the creation of quality professional development experiences for teachers. We analyzed how eight elementary teachers created opportunities for their students to engage in four CT practices (abstraction, decomposition, debugging, and patterns) during unplugged mathematics and science activities. We identified three strategies used by these teachers to create CT opportunities for their students: framing, prompting, and inviting reflection. Further, we grouped teachers into four profiles of implementation according to how they used these three strategies. We call the four profiles (1) presenting CT as general problem-solving strategies, (2) using CT to structure lessons, (3) highlighting CT through prompting, and (4) using CT to guide teacher planning. We discuss the implications of these results for professional development and student experiences.
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