Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Designing Computer-Supported Complex Systems Curricula for the Next Generation Science Standards in High School Science Classrooms

Designing Computer-Supported Complex Systems Curricula for the Next Generation Science Standards in High School Science Classrooms

Thumbnail Image
Download
Name

Klopfer_Designing computer.pdf

Size

1.41 MB

Format

Adobe PDF

Checksum (MD5)

e366879aafca1057da5ab41ba88490f6

Author(s)
Yoon, Susan
•
Anderson, Emma
•
Koehler-Yom, Jessica
•
Scheintaub, Hal
•
Oztok, Murat
•
Evans, Chad
•
Goh, Sao-Ee
•
Klopfer, Eric
•
Sheldon, Joshua
•
Schoenfeld, Ilana
more
Date Issued
December 2016
Journal
Systems
Publisher
MDPI AG
Citation
Yoon, Susan et al. “Designing Computer-Supported Complex Systems Curricula for the Next Generation Science Standards in High School Science Classrooms.” Systems 4.4 (2016): 38.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/109323
DOI of Published Version
https://doi.org/10.3390/systems4040038
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.