01

职位介绍

Post-Doctoral Fellow Position in

the Learning Sciences and Science Education at the Graduate School of Education, University of Pennsylvania

The University of Pennsylvania, Graduate School of Education (PennGSE), invites applications for a post-doctoral fellow position in the learning sciences and science education. The position entails work on two NSF projects that focus on delivering high quality professional development (PD) to high school science teachers.

The first project investigates the impact of a high school curricular unit on student learning and participation outcomes that builds bioinformatics and data literacy acquired through the collection and analysis of urban environmental air-quality measures. Teachers learn essential pedagogical strategies centered on place-based and culturally relevant learning theories. Students use mobile apps to collect data and then learn how to interpret the data in order to make evidence-based decisions on actions they can take in their communities.

The second project examines scientific epistemic practices of data investigations using computational complex systems models with a focus on transfer of those practices to evaluate controversial socioscientific issues. The central goal is to understand how teachers and students teach with and demonstrate adaptive epistemic practices that include the ability to determine the veracity of knowledge claims based on fit with evidence and deciding which kinds of data are needed to construct accurate decisions in situated contexts.

The post-doctoral fellow will support the coordination of research activities with a major focus on data analysis, writing, and publication. They will work on constructing and revising PD activities such as teacher and student facing curricular materials and the PD delivery platform. They will also contribute to data collection, archiving, and organization of data. We are interested in candidates who have expertise in learning theories, advanced educational technologies, disciplinary knowledge of Biology, teaching at the high school level in urban public schools, and teacher professional development.

The position also entails work with the Principal Investigator and leadership team to develop a rigorous and cutting-edge research agenda that prepares the post-doctoral fellow for their next career steps.

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申请要求

Minimum qualifications:

● Doctoral degree in learning science, science education, or a related field

● Proficiency with mixed methods; complex research datasets, cleaning and managing multimodal data, and conducting analysis

● Facility in working with educational computational tools such as agent-based simulations and mobile technologies

● Research on teaching or teacher professional development

● Interest in issues of diversity, equity, and inclusion, particularly as they relate to participation in STEM in urban public schools

● Early publication record and strong desire to publish

● Ability to work with large research teams; excellent interpersonal and communication skills; and ability to do creative, independent work

Preferred qualifications:

● Experience in conducting PD in both face-to-face and online modalities

● Knowledge of the field of educational data science or data literacy

● Knowledge of the field of epistemic cognition and epistemic practices in STEM

● Public high school teaching

● Advanced statistical methods, e.g., multiple regression and nested models

● Technological skills including video-editing, MOOC construction, and graphical programming languages

This is a one-year position renewable up to 3 years.

The University of Pennsylvania is an equal opportunity affirmative action employer; women and minority candidates are strongly encouraged to apply.

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如何申请

Application review will begin immediately and will continue until the position is filled. The ideal candidate will be able to start on or around August 1, 2022.

Please send an electronic application that contains:

a) a letter expressing your interest and qualifications;

b) CV;

c) three samples of academic writing;

d) names of three references to Susan Yoon; yoonsa@upenn.edu.

Please write “Application for Post-Doc” in the subject line of the email.