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

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Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms. / Yoon, Susan A.; Anderson, Emma; Klopfer, Eric et al.
In: Expert Systems, Vol. 4, 38, 03.12.2016.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Yoon, SA, Anderson, E, Klopfer, E, Koehler-Yom, J, Sheldon, J, Schoenfeld, I, Wendel, D, Scheintaub, H, Oztok, M, Evans, C & Goh, S-E 2016, 'Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms', Expert Systems, vol. 4, 38. https://doi.org/10.3390/systems4040038

APA

Yoon, S. A., Anderson, E., Klopfer, E., Koehler-Yom, J., Sheldon, J., Schoenfeld, I., Wendel, D., Scheintaub, H., Oztok, M., Evans, C., & Goh, S-E. (2016). Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms. Expert Systems, 4, Article 38. https://doi.org/10.3390/systems4040038

Vancouver

Yoon SA, Anderson E, Klopfer E, Koehler-Yom J, Sheldon J, Schoenfeld I et al. Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms. Expert Systems. 2016 Dec 3;4:38. doi: 10.3390/systems4040038

Author

Yoon, Susan A. ; Anderson, Emma ; Klopfer, Eric et al. / Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms. In: Expert Systems. 2016 ; Vol. 4.

Bibtex

@article{da1a516d95a2413fb131e277173a2ef3,
title = "Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms",
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{\textquoteright} complex systems understanding and biology content knowledge. In interviews, students identified influences of various aspects of the curriculum and instruction framework on their learning.",
keywords = "computer-supported science curricula, NGSS, Complex systems, student learning outcomes",
author = "Yoon, {Susan A.} and Emma Anderson and Eric Klopfer and Jessica Koehler-Yom and Josh Sheldon and Ilana Schoenfeld and Daniel Wendel and Hal Scheintaub and Murat Oztok and Chad Evans and Sao-Ee Goh",
year = "2016",
month = dec,
day = "3",
doi = "10.3390/systems4040038",
language = "English",
volume = "4",
journal = "Expert Systems",
issn = "2079-8954",
publisher = "Wiley-Blackwell",

}

RIS

TY - JOUR

T1 - Designing computer-supported complex systems curricula for the next generation science standards in high school science classrooms

AU - Yoon, Susan A.

AU - Anderson, Emma

AU - Klopfer, Eric

AU - Koehler-Yom, Jessica

AU - Sheldon, Josh

AU - Schoenfeld, Ilana

AU - Wendel, Daniel

AU - Scheintaub, Hal

AU - Oztok, Murat

AU - Evans, Chad

AU - Goh, Sao-Ee

PY - 2016/12/3

Y1 - 2016/12/3

N2 - 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.

AB - 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.

KW - computer-supported science curricula

KW - NGSS

KW - Complex systems

KW - student learning outcomes

U2 - 10.3390/systems4040038

DO - 10.3390/systems4040038

M3 - Journal article

VL - 4

JO - Expert Systems

JF - Expert Systems

SN - 2079-8954

M1 - 38

ER -