We are thrilled to announce the commencement of a new research project, “Adapting Computing Education for an AI-Driven Future: Empirical Insights and Guidelines for Integrating Generative AI into Curriculum and Practice” (The EDU-AI project), starting April 2024. This venture explores the transformative impact of generative AI technologies, such as GPT-4 and automated code generators, on the IT industry, computing education, and professional skills development.

The project, significant for the Department of Information Technology, aligns with our commitment to addressing challenges and capitalizing on opportunities presented by generative AI in education. Spearheaded by Åsa Cajander and Mats Daniels, the project will be conducted over two years (April 2024 – March 2026), potentially extending into a third year.

Project Overview

The EDU-AI project comprises four work packages, each targeting a unique aspect of the generative AI influence in IT and education:

  1. Understanding Generative AI in the Professional IT Landscape: Investigating the use of generative AI among IT professionals.
  2. Generative AI in Computing Education: Student Perspectives: Examining students’ interaction with and perception of generative AI.
  3. Faculty Adaptation and Teaching Strategies for Generative AI: Assessing how faculty integrate generative AI into their teaching methods.
  4. Synthesis and Recommendations for Competence Development in Computing Education: Creating actionable recommendations based on findings from the first three stages.

The project will collaborate with Auckland University of Technology, Eastern Institute of Technology, and Robert Gordon University, Aberdeen, bringing cross-cultural expertise and perspectives.

Benefits and Application Process

This position offers the opportunity to be at the forefront of AI integration in education, work with leading experts, and publish in top journals and conferences.

Interested candidates should submit their application, including a CV, cover letter, and relevant publications. For more information see: https://www.jobb.uu.se/details/?positionId=676633

Last application date: 2023-12-18

For more information about the project and the role, please refer to the detailed project description or contact Åsa Cajander or Mats Daniels directly.