Harlow’s study focused on computational modeling and how
pre-service teachers understand it. A recurring theme I noticed in Harlow’s
paper was the discussion that creating and using models is a necessary science
practice that science students should learn. A Framework puts emphasis on the
learning how to create, analyze, revise, and use models to explain and argue
scientific and engineering concepts. Other authors, such as Nersessian,
Pickering, and Wilensky, say that models should not just be accurate
(consistent with scientific research), but they should also be predictive of
phenomena. Many of the Netlogo models, even the oneTurtle.jar we have looked at,
or modified, do have predictive power, though the oneTurtle is a little more limited.
We also have been able to revise our models, sometimes with others giving
suggestions to improve the program. This is an example of how students in
future classrooms should be working with all models.
Writing and adjusting lesson plans according to student
thinking and understanding was another theme in the paper. In the Science
Literacy class from last semester, we touched on interviews and informal
assessments to check for student thinking. It was interesting to see the same
done for a class of pre-service teachers. Interviewing can bring out background
knowledge, misconceptions about ideas, and changes in knowledge. This was seen
in the homework assignments and interviews in Harlow’s study. I also had some
misconceptions about computational modeling and programming when being
introduced to Netlogo. I knew that it is a good teaching tool and resource for
students to learn concepts more deeply. However, I was not sure what
computational modeling would look like (I have had limited experience with
coding), in the classroom (time-wise, difficulty, etc). Fortunately, this class
is altering my views and understanding of how computational modeling works.
Harlow et al. revealed some pedagogical resources that the
students used appropriately, and inappropriately, in different situations. The
authors argued that these resources need to built upon so pre-service science teachers
are more prepared when they are teaching their own classes. The first two
resources, which connect to the adjusting lesson plan theme, are about how to
guide students and when the answer should be given. The third resource is about
terminology. The Wolf Sheep Predation and Mimicry Netlogo models I looked at
did not include the terminology, at least not on the interface, that students
would need to know for a standardized test. Should a model include terminology?
Or, when should such science vocabulary be taught to students? Harlow seems to
agree that students need to know the terminology for discussion about what they
learned, but when should terms be introduced? I was thinking a scaffolded
worksheet for students to work on throughout a modeling activity could help
here.
Science question: Why are insects so small (I’m glad they
are though)? I think this is a body mass and shape versus skeleton size and
strength type of question?
Caitlin, I think you raised a very good question about terminology. Harlow Et Al writes, “When assessing students’ proposed scientific models, they [teachers] must learn to replace attention to included scientific terms with notions of testability and alignment with evidence” (pg. 1117). Harlow then goes on to explain that although testability and alignment with evidence might be more important for assessment, attention to scientific terminology is also important in order to make sure students master the academic language when describing a natural phenomena (and understand core ideas and practices in science). So I would say either during the revision process of creating a model or after the student’s “final” model (models are never finalized and can always be revised) to help explain the phenomena. Although I could see frontloading as an important step to thinking about the phenomena before creating a model. I can’t decide! I really liked your idea of a scaffolded worksheet for students to work on throughout the modeling activity. I think this would be a very interesting discussion to have in class, I don’t think I can come up with a clear answer and I wonder if there is one?
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