Marcus Birkenkrahe Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Visiting Associate Professor of Data Science

Lyon College

faculty

1 h-index 9 pubs 9 cited

Research Areas

Innovative Teaching and Learning Methods Generative AI Applications Education Systems and Policy Higher Education Research Studies Natural Language Processing Techniques Computational Physics and Python Applications Technology Adoption and User Behaviour

Links

ORCID

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OverviewAI-generated summary

Marcus Birkenkrahe's research focuses on the intersection of data science, artificial intelligence, and higher education. He investigates the pedagogical applications of AI tools, particularly generative AI, within computer and data science curricula. His work explores how AI coding assistants and generative AI can be integrated into teaching and learning environments, examining their utility for both educators and students.

Birkenkrahe has also published on the use of literate programming tools for teaching data science, emphasizing their role in enhancing understanding and transparency in coding. His scholarship includes case studies on student usage of generative AI at liberal arts colleges and the automated assessment of academic artifacts using AI. He holds a PhD in theoretical physics and has prior executive experience in industry.

Metrics

h-index: 1
Publications: 9
Citations: 9

Selected Publications

Truth Matters: Generative AI as Muse or Tool in the Research Process (2025) DOI
Teaching Data Science with Literate Programming Tools (2023) DOI
Teaching Data Science with Literate Programming Tools (2023) DOI
Development of a usability testing procedure for process mining tools (2022) DOI
Teaching Data Science in a Synchronous Online Introductory Course at a Business School – A Case Study (2021) DOI