The University of Minnesota’s (UMN) Playful Problem Solving project seeks a candidate to fill one Post-Doctoral Associate position. The project investigates the impact of dialogic scaffolding on students’ problem-solving approaches within a logic game.This project focuses on Baba is You, a challenging puzzle game, as a context for developing a problem solving measurement tool and a general purpose dialogic scaffolding framework that can be used by instructors and parents to understand and deepen students’ problem solving practices.
The post-doctoral associate will be a full-time, 12 month employee of the University of Minnesota. The post-doctoral associate will work closely with a team of faculty in the Departments of Educational Psychology and Curriculum and Instruction, including Prof. David DeLiema, Prof. Keisha Varma, and Prof. Bodong Chen. The post-doctoral association will also be affiliated with UMN’s Learning Informatics Lab, led by Prof. Bodong Chen (Learning Technologies) and Prof. Panayiota Kendeou (Educational Psychology). Because the Playful Problem Solving project is a multi-institution, grant-funded collaboration, the post-doctoral associate will also work in partnership with a team of researchers at Stanford University led by Prof. Shima Salehi, and with a remote consultant at the University of North Carolina, Prof. Matt Bernacki.
Plan and conduct analyses of conversation during game play and back-end analytics of game play, including working as a liaison with the team engaged in analyses using machine learning and artificial intelligence;
Plan, manage, and contribute to the collection of new data on the project, especially data w/ a focus on particular approaches to scaffolding problem solving;
Contribute to the theoretical framework and measures core to the project’s approach to conceptualizing problem solving;
Envision implications for the teaching and learning of mathematics and computational thinking outside of game play contexts.
The post-doctoral associate should be committed to producing original research and publishing their work in highly ranked conference proceedings and journals (as appropriate). The PIs of the PPS project are committed to the professional development of the post-doctoral associate, and will provide resources to support professional development including participation in professional conferences.
All required qualifications must be documented on application materials.
A Ph.D. in learning sciences, educational psychology, data science, computer science, machine learning, statistics, cognitive science, learning analytics, or an allied discipline.
A strong technical background with demonstrated experience developing computational tools and/or applying data science methods to large data sets.
A strong technical background with analyses of discourse during learning settings.
Proficiency with managing complex data sets and quality control procedures.
Strong organizational and communication skills.
Strong professional writing skills, including research reports, peer-reviewed research articles, or other print and electronic publications.
Experience in collaborating as a member of a larger research team.
Ability to work well with diverse populations.
Internal Number: 341904
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.