5 papers
Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber +2
As Artificial Intelligence (AI) increasingly impacts professional practice, there is a growing need to AI-related competencies into higher education curricula. However, research on…
Lessons for GenAI Literacy From a Field Study of Human-GenAI Augmentation in the Workplace
Aditya Johri, Johannes Schleiss, Nupoor Ranade
Generative artificial intelligence (GenAI) is increasingly becoming a part of work practices across the technology industry and being used across a range of industries. This has ne…
Misconceptions, Pragmatism, and Value Tensions: Evaluating Students' Understanding and Perception of Generative AI for Education
Aditya Johri, Ashish Hingle, Johannes Schleiss
In this research paper we examine undergraduate students' use of and perceptions of generative AI (GenAI). Students are early adopters of the technology, utilizing it in atypical w…
A Roles-based Competency Framework for Integrating Artificial Intelligence (AI) in Engineering Courses
Johannes Schleiss, Aditya Johri
In this practice paper, we propose a framework for integrating AI into disciplinary engineering courses and curricula. The use of AI within engineering is an emerging but growing a…
Integrating AI Education in Disciplinary Engineering Fields: Towards a System and Change Perspective
Johannes Schleiss, Aditya Johri, Sebastian Stober
Building up competencies in working with data and tools of Artificial Intelligence (AI) is becoming more relevant across disciplinary engineering fields. While the adoption of tool…