Post Doctoral Fellow- Learning Technologies and Augmented Reality

Carnegie Mellon UniversityPittsburgh, PA
Onsite

About The Position

We are looking for a postdoc who will work under the guidance of Prof. Vincent Aleven in the HCI Institute, on two sponsored projects. The first project is an IES-funded project focused on mathematics learning in blended middle school classes using intelligent tutoring software (ITS). This project involves a classroom study to evaluate a teacher support tool called Lumilo 2, which runs on smart glasses and provides decision support to teachers. The goal is to understand how real-time analytics affect teacher help and student learning, potentially leading to more personalized K-12 math classrooms. The second project, funded by the NSF, investigates the use of Generative AI to speed up the creation of domain models for ITS authoring, specifically within the CTAT tool. This project aims to understand how Large Language Models (LLMs) can be used with human oversight to generate effective educational content and represent procedural knowledge for instructional purposes, ultimately contributing to the wider adoption of ITS.

Requirements

  • PhD in learning technologies, human-computer interaction, educational data science, or a related field.
  • Experience in implementing educational technology.
  • Experience in conducting educational technology research.

Nice To Haves

  • Experience with K-12 classroom research.
  • Experience with designing, developing, and evaluating AR/VR applications.
  • Experience in developing interactive web applications.
  • Experience with applying AI to educational challenges.
  • Strong publications record.
  • Good communication and teamwork skills.

Responsibilities

  • Work under the guidance of Prof. Vincent Aleven on two sponsored projects.
  • Conduct a classroom study in middle schools to evaluate a teacher support tool.
  • Investigate how Generative AI can be used to speed up the creation of domain models for Intelligent Tutoring Software (ITS) authoring.
  • Contribute to a better understanding of how LLMs can be used to generate educational content and represent procedural knowledge.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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