

Author: Yoon Susan A. Anderson Emma Klopfer Eric Koehler-Yom Jessica Sheldon Josh Schoenfeld Ilana Wendel Daniel Scheintaub Hal Oztok Murat Evans Chad Goh Sao-Ee
Publisher: MDPI
E-ISSN: 2079-8954|4|4|38-38
ISSN: 2079-8954
Source: Systems, Vol.4, Iss.4, 2016-12, pp. : 38-38
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
We present a curriculum and instruction framework for computer-supported teaching and learning about complex systems in high school science classrooms. This work responds to a need in K-12 science education research and practice for the articulation of design features for classroom instruction that can address the Next Generation Science Standards (NGSS) recently launched in the USA. We outline the features of the framework, including curricular relevance, cognitively rich pedagogies, computational tools for teaching and learning, and the development of content expertise, and provide examples of how the framework is translated into practice. We follow this up with evidence from a preliminary study conducted with 10 teachers and 361 students, aimed at understanding the extent to which students learned from the activities. Results demonstrated gains in students’ complex systems understanding and biology content knowledge. In interviews, students identified influences of various aspects of the curriculum and instruction framework on their learning.
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