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Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms

Research output: Contribution to journalJournal article

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  • Susan A. Yoon
  • Emma Anderson
  • Eric Klopfer
  • Jessica Koehler-Yom
  • Josh Sheldon
  • Ilana Schoenfeld
  • Daniel Wendel
  • Hal Scheintaub
  • Murat Oztok
  • Chad Evans
  • Sao-Ee Goh
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Article number38
<mark>Journal publication date</mark>3/12/2016
<mark>Journal</mark>Expert Systems
Volume4
Number of pages18
Publication statusPublished
Original languageEnglish

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.