This study explores how the interplay between data analysis and model design shifts 6th-grade students' understanding of diffusion from simple to sophisticated mechanistic reasoning and from non-canonical to canonical ideas about diffusion. Using mixed-methods qualitative analysis, we determine students' mechanistic reasoning and ideas about diffusion at five different points in a curricular sequence using a new tool for computational modeling called MoDa. With this data, we present a framework for the relationship between students' developing mechanistic reasoning and their canonical understanding, suggesting that they develop independently. Further, we illustrate how the computational modeling environment, MoDa, used in this study pushed students' mechanistic reasoning toward sophistication. Moreover, in allowing them to explore non-canonical mechanisms, MoDa supported their convergence on canonical scientific ideas about diffusion.
more »
« less
How Can Computational Modeling Help Students Shift Their Ideas Towards Scientifically Accurate Explanations?
This paper explores how MoDa, an integrated computational modeling and data environment, enabled students to express their ideas about diffusion and shift them toward canonical ideas. Drawing on data from an 8-day unit with two 6th-grade science classes, we analyze students' utterances in presentations, drawings, and written responses to document their diverse ideas about diffusion We present three case studies to illustrate how engaging with computational modeling in MoDa and the unit around it enabled students to shift from non-canonical ideas towards more canonical explanations of diffusion. In particular, we identify three factors that helped in shifting students’ ideas: the availability of code blocks to represent a diverse range of ideas including non-canonical ones, consistent access to video data of the phenomenon, and model presentations to the whole class. The paper illustrates how a computational modeling tool and curriculum can make students' diverse ideas visible and shift them toward canonical explanations.
more »
« less
- Award ID(s):
- 2010413
- PAR ID:
- 10424607
- Date Published:
- Journal Name:
- Proceedings of the 2023 Annual Meeting of the International Society for the Learning Sciences
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
This paper draws on a larger project in which we design for students to iteratively engage in scientific practices of computational modeling and data analysis. Here, we report on two sixth-grade science classes’ work in a unit about how ink diffuses through hot and cold water. Using interaction analysis, we analyzed what dimensions students attended to as they analyzed data, constructed computational models, and compared the two to validate their models. Our analysis led to three findings: 1. Visual cues from video data were salient to students who heavily drew on them to iterate on their models.; 2. Programming computational models raised questions about the behavior of the individual particles in the phenomenon.; and 3. The visual data made salient the contrasting conditions being modeled. However, instead of developing a single model that explained diffusion in both hot and cold water, students programmed distinct behaviors for each condition. The findings illustrate how visual data and modeling together can help students generate explanations to account for scientific phenomena and show evidence that students need explicit supports for thinking about models as providing an explanation for a range of related conditions in the system.more » « less
-
more » « less
Abstract Inquiry instruction often neglects graphing. It gives students few opportunities to develop the knowledge and skills necessary to take advantage of graphs, and which are called for by current science education standards. Yet, it is not well known how to support graphing skills, particularly within middle school science inquiry contexts. Using qualitative graphs is a promising, but underexplored approach. In contrast to quantitative graphs, which can lead students to focus too narrowly on the mechanics of plotting points, qualitative graphs can encourage students to relate graphical representations to their conceptual meaning. Guided by the Knowledge Integration framework, which recognizes and guides students in integrating their diverse ideas about science, we incorporated qualitative graphing activities into a seventh grade web‐based inquiry unit about cell division and cancer treatment. In Study 1, we characterized the kinds of graphs students generated in terms of their integration of graphical and scientific knowledge. We also found that students (
n = 30) using the unit made significant learning gains based on their pretest to post‐test scores. In Study 2, we compared students' performance in two versions of the same unit: One that had students construct, and second that had them critique qualitative graphs. Results showed that both activities had distinct benefits, and improved students' (n = 117) integrated understanding of graphs and science. Specifically, critiquing graphs helped students improve their scientific explanations within the unit, while constructing graphs led students to link key science ideas within both their in‐unit and post‐unit explanations. We discuss the relative affordances and constraints of critique and construction activities, and observe students' common misunderstandings of graphs. In all, this study offers a critical exploration of how to design instruction that simultaneously supports students' science and graph understanding within complex inquiry contexts. -
Sharing ideas can strengthen students’ science explanations. Yet, how to guide uses of peers’ ideas, and what the impacts of those ideas are on students’ learning, are open questions. We implemented a web-based cell biology unit with 116 grade 7 students, and explored how peers’ ideas are used during explanation building, and how prompts to draw on peers to either diversify or reinforce existing ideas impacted the quality of students’ written explanations. Among other findings, exchanging ideas with peers led to all students improving their explanation quality upon revision; and students prompted to diversify their ideas showed greater learning gains by the end of the unit, while students prompted to reinforce ideas, who used more peer-generated ideas in preparation to write their explanations, produced higher quality explanations. This study builds our understanding of the influence of peer ideas on learning, and offers insight into supporting students in engaging effectively with peers’ ideas.more » « less
-
To support teachers in providing all students with opportunities to engage in engineering learning activities, research must examine the ways that elementary teachers support how diverse learners engage with engineering ideas and practices. This study focuses on two teachers' verbal supports in classroom discussions across two class sections of a four-week, NGSS-aligned unit that challenged students to redesign their school to reduce water runoff. We examine the research question: How and to what extent do upper-elementary teachers verbally support students' engagement with engineering practices across diverse classroom contexts in an NGSS-aligned integrated science unit? Classroom audio data was collected daily and coded to analyze support through different purposes of teacher talk. Results reveal the purpose of teachers’ talk often varied between the class sections depending on the instructional activity and indicate that teachers utilized a variety of supports toward students' engagement in different engineering practices. In one class, with a large percentage of students with individualized educational plans, teachers provided more epistemic talk about the engineering practices to contextualize the particular activities. For the other class, with a large percentage of students in advanced mathematics, teachers provided more opportunities for students to engage in discussion and support for students to do engineering. This difference in supports may decrease the opportunities for some students to rigorously engage in engineering ideas and practices. This study can inform future research on the kinds of educative supports needed to guide teaching of integrated engineering activities for diverse students.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- The DOI is not currently available.
