Getting a grip on how we talk about computational practices in science in settings of teacher learning

被引:0
|
作者
Farris, Amy Voss [1 ,2 ]
Mclaughlin, Gozde [1 ]
机构
[1] Penn State Univ, University Pk, PA USA
[2] Penn State Univ, Dept Curriculum & Instruct, Dept Curriculum & Instruct, 173B Chambers Bldg, University Pk, PA 16802 USA
关键词
computational practices in science; computational thinking; epistemic practices; science education; sensemaking; PEDAGOGICAL CONTENT KNOWLEDGE; PRESERVICE TEACHERS; EPISTEMIC AGENCY; THINKING; STUDENTS; MODELS; MATHEMATICS; CLASSROOM;
D O I
10.1111/jcal.12976
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
BackgroundScience teachers' understanding of the roles of computing practices in science frame how they enact scientific computational practices in their teaching and how their students perceive the relationship between computational practices and scientific endeavours.ObjectivesThis critical, integrative review synthesizes teacher learning literature about the role of computational literacy and computing practices in K-12 science teaching.MethodsWe examined 54 peer-reviewed articles and analysed the ways the researchers and teacher participants describe the affordances of integrating computational thinking (CT) and other computational practices in science. We characterize how CT and computational practices are framed in relation to scientific learning goals. We identify six primary affordances for integrating computational practices with science that are conveyed to teachers and by teachers, as represented in these studies of teacher learning.Results and ConclusionsThese six perspectives include (1) learning computer science principles, (2) developing CT dispositions, (3) engagement and inclusion in science, (4) taking ownership of science, (5) supporting learning science content, and (6) participating in computational practice as a form of scientific epistemic practice. Our analysis indicates that computational thinking and computational practices are often integrated in science in order to teach something about computing (e.g., Perspective 1), rather than to support learners' scientific work. Only the 29 articles coded for the sixth perspective-that is, in service of epistemic aims in science-demonstrate commitment to students' uses of computational ideas and practices as epistemic tools to participate in the sensemaking work of science.TakeawaysComparison of Perspectives 5 and 6 illustrates the nuance between computational practices in science that reify something students have already "figured out," rather than those that serve epistemic goals. Perspective 6 encapsulates the deep synergy among (1) the reflexive nature of computing with scientific ideas and (2) computing as a central practice in science and engineering. We contend that a more focused message of computational practices in service of scientific sensemaking goals is necessary if we expect teachers to enact CT and related computational practices in their classrooms. What is already known about this topic? Science teachers' understanding of the roles of computing practices in science frame how they enact scientific computational practices in their teaching.What this paper adds? We analysed 54 peer-reviewed articles regarding teacher learning about the role of computational literacy and computing practices in K-12 science teaching. We characterized the ways the researchers and teacher participants describe the affordances of integrating computational thinking (CT) and other computational practices in science. We present six primary affordances for integrating computational practices with science that are conveyed to teachers and by teachers, as represented in these studies of teacher learning. These six perspectives include (1) learning computer science principles, (2) developing CT dispositions, (3) engagement and inclusion in science, (4) taking ownership of science, (5) supporting learning science content, and (6) computational practices in service of epistemic aims in science.Implications for practice and/or policy We find that computational thinking and computational practices are often integrated in science in order to teach introductory computer science principles, but not to support the original science learning aims. Only the 29 of 54 articles demonstrate commitment to students' uses of computational ideas and practices as epistemic tools to participate in the sensemaking work of science. We contend that a more focused message of computational practices in service of scientific sensemaking goals is necessary if we expect teachers to enact CT and related computational practices in their classrooms.
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页码:1922 / 1940
页数:19
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