Systems for Systems: Computational Systems Modeling to Promote Equity and Access in K12 STEM Educational Systems
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 21919
Special Issue Editor
Interests: complex systems in K12 science education; social capital and social network applications; learning sciences; digital tools to promote science learning; teacher professional development in face-to-face and online asynchronous environments
Special Issue Information
Dear Colleagues,
Scientists create computational models or simulations in order to understand complex scientific phenomena, explore questions, and increase the rate of innovation and discovery. In K12 education, learning to use, modify, create, and analyze models of scientific systems promotes an epistemological understanding of science where students can explore mechanisms and patterns, and evaluate evidence from their models to construct disciplinary knowledge.
Over the last several decades, education and learning sciences researchers have worked to develop both professional development programs and curriculum to support the use of such computational systems models in classrooms. Alongside this research, there have been calls to determine the variables in educational systems that will enable optimal implementation for the successful learning of all students. McKenney (2018)* writes,
We need research that can help us design for implementation in the here and now. This includes putting the investigation of what works, for whom, under which conditions into a broader perspective to help us…attend to the highly varied needs of teachers and learners in diverse settings. (p. 2)
In this Special Issue, we aim to illustrate innovative research programs that focus on the implementation of computational systems modeling tools for K12 science teachers and students. Two central goals motivate the articles in this issue. The first is to highlight the learning challenges of specific educational populations for which the modeling of scientific systems, (through its affordances of interactivity, visualizations, dynamic emergent properties, and access to hidden systems features like feedback, self-organization, and levels of interaction and interdependence), can support learning. The second is to identify and investigate the variables of equity and access in educational systems that support or impede participation with specific educational populations that use computational systems modeling tools for learning.
Submissions may focus on either of the two goals or both of the goals simultaneously. However, the research should discuss issues for learners (and the teachers of those learners) who have historically been left out of mainstream research on computational systems modeling. These goals constitute an important subset of interests that add to the discourse on “what works, for whom, under what conditions” (McKenney, 2018). Topics of submissions may include, but are not limited to the following:
- Systems science curricula for elementary students;
- Supports for English language learners;
- High-quality and usable professional development for geographically isolated teachers
- Systems models to support data literacy with young students
- Developing teacher’s communities of practice for systems learning and instruction
Prof. Dr. Susan Yoon
Guest Editor
Manuscript Submission Information
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Keywords
- Modeling scientific systems
- Marginalized learners of science
- K12 educational systems
- Computational systems modeling tools
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