
Computational thinking, an approach to problem solving, is a key practice of science education rarely integrated into instruction in an authentic way. A second key practice, creating models of physical phenomenon, has been recognized as an important strategy for facilitating students' deeper understandings of both science concepts and the practices of science. We are creating an interdisciplinary computational thinking curriculum for grades 4-6 that combines the development of computational thinking with content in other disciplines such as science. Here we present an example project where students can iteratively develop a model to explain the momentum and acceleration of an object, coupled with sophisticated computational thinking concepts to simulate that model. In addition, we present two findings from related research on fourth graders' pre-instructional knowledge related to computational thinking: 1) Students recognized the need for but struggled to produce specific instructions, and 2) Students understood that small errors could change outcomes.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
