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Postdoctoral Fellow - Computational Modeling in K-12 Science Classrooms

Apply now Job no: 508570
Position type: Staff
Location: New York
Categories: Education/Instructional, Engineering/Computer Science, Research

Paulo Blikstein's Transformative Learning Technologies Laboratory (TLTL) at Columbia University, together with Michelle Wilkerson’s CoRE Lab at UC Berkeley, Aditi Wagh at MIT, and Engin Bumbacher at the Teacher University Vaud (Switzerland) are currently looking for a Postdoctoral Associate to join our team on a DRK-12 NSF grant titled:

'From Access to Sustainability: Investigating Ways to Foster Sustainable Use of Computational Modeling in K-12 Science Classrooms'

This research and design project will investigate how computational modeling can be made a sustainable educational practice across middle school classrooms. The successful candidate will have the opportunity to conduct cutting-edge research, develop skills for future faculty positions, and participate in the vibrant research community of Columbia, Berkeley, and MIT, as well as working with international partners in Switzerland, Thailand, and Brazil.

The position's primary duties will be to work on a collaborative team that manages and conducts research on computational modeling in K-12 science education. Through iterative cycles of design-based research, the project will investigate the following questions:
How do learners' identities as scientists develop as they program computational models and integrate them with physical experiments in science classrooms (Bifocal Modeling)?
How can we support the long-term development of learners' trajectories as modelers as they engage in more complex inquiry? How does this trajectory intersect with disciplinary learning and computational practices?
How do classroom norms around computational modeling develop over time? Specifically, how students’ models become objects for classroom reflection and how students integrate modeling into other practices such as explanation and argumentation; and
How can teachers be supported in attending and responding to students' modeling work?

The postdoctoral associate will:
Engage in qualitative research of data including video data and student-generated artifacts to examine student learning.
Engage in quantitative research to analyze students’ written assessments, computer models, and other artifacts.
Publish, present and disseminate research to the learning sciences, science education, and computational literacy/thinking communities.
Design and develop curricular activities for middle school (6th & 7th grade) science classrooms.
Support facilitation of teacher PD and co-design sessions.
Work closely with all of the research teams, supporting them throughout the work, including weekly project team meetings.

Required Qualifications:
Applicants must hold a Ph.D. in Learning Science, Science Education, or related areas.
Strong background in Learning Sciences research and a theoretical understanding of the role of computation and modeling in science learning.
Experience in doing design-based research in classrooms and/or other authentic learning environments.
Strong background in qualitative and quantitative analysis.
Working knowledge of current research in modeling (including computational modeling), and inquiry-based science education.

Preferred/Optional Qualifications:
Experience with the professional development of K-12 teachers.
Experience with developing NGSS-aligned curriculum activities for formal education, often with teachers as co-designers.
Subject area expertise in Science.
Experience in coding computer models.
Basic experience with Learning Analytics.

Advertised: Eastern Daylight Time
Applications close:

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In response to the COVID-19 Pandemic, Teachers College has decided to require COVID-19 vaccination for all employees who are physically reporting to campus on or after August 1, 2021. In accordance with New York state laws, the College will consider exemption requests from this vaccine mandate for religious and medical reasons, unless they cause Teachers College undue hardship (i.e. significant difficulty or expense), or pose a direct threat to the health and safety of others. For additional details on this policy and information on how to apply for a religious or medical exemption if selected for a position, please discuss with the hiring manager.

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