We investigate how the integration of visual agent-based programming and computationally augmented
physical structures can support curricular integration across STEM domains for elementary grade students.
We introduce ViMAP-Tangible, a socio-technically distributed computational learning environment, which
integrates ultrasonic sensors with the ViMAP visual programming language using a distributed computation
infrastructure. In this paper, we report a study in which 3rd and 4th grade students used ViMAP-Tangible to
engage in collaborative design-based activities in order to invent “drawing machines” for generating
geometric shapes. The curricular activities integrate engineering practices such as user-centered design,
mathematical reasoning about multiplication, rates and fractions, and physical science concepts central to
learning Newtonian mechanics. We identify the key affordances of the learning environment and our
pedagogical approach in terms of the relationship between the structural elements of students’ physical
constructions and computational models, and their learning outcomes, both in terms of computational
thinking, and the domain-specific, mathematical and scientific knowledge that they began developing.
We investigate how the integration of visual agent-based programming and computationally augmentedphysical structures can support curricular integration across STEM domains for elementary grade students.We introduce ViMAP-Tangible, a socio-technically distributed computational learning environment, whichintegrates ultrasonic sensors with the ViMAP visual programming language using a distributed computationinfrastructure. In this paper, we report a study in which 3rd and 4th grade students used ViMAP-Tangible toengage in collaborative design-based activities in order to invent “drawing machines” for generatinggeometric shapes. The curricular activities integrate engineering practices such as user-centered design,mathematical reasoning about multiplication, rates and fractions, and physical science concepts central tolearning Newtonian mechanics. We identify the key affordances of the learning environment and ourpedagogical approach in terms of the relationship between the structural elements of students’ physicalconstructions and computational models, and their learning outcomes, both in terms of computationalthinking, and the domain-specific, mathematical and scientific knowledge that they began developing.
การแปล กรุณารอสักครู่..
