Marcus Birkenkrahe Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Visiting Associate Professor of Data Science
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Biography and Research Information
OverviewAI-generated summary
Marcus Birkenkrahe's research focuses on the intersection of data science, artificial intelligence, and higher education. He investigates the application of AI tools, particularly generative AI, in educational settings, examining their role as potential aids or disruptive forces in the learning and research processes. His work includes case studies on student usage of generative AI at liberal arts colleges and the implications for pedagogical approaches, such as the need for literate programming in computer and data science education.
Birkenkrahe also explores methods for teaching data science effectively, including within synchronous online courses at business schools. His academic background in theoretical physics and experience in industry inform his multifaceted approach to data science education and application. He holds positions as an Associate Professor of Computer and Data Science at Lyon College and serves on the editorial boards of several data science-focused journals.
Metrics
- h-index: 1
- Publications: 9
- Citations: 9
Selected Publications
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GENERATIVE AI IN RESEARCH: TOOL, MUSE, OR MIRROR? (2025)
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Truth Matters: Generative AI as Muse or Tool in the Research Process (2025)
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GENERATIVE AI TOOLS IN HIGHER EDUCATION: A CASE STUDY OF STUDENT USAGE AT A SMALL LIBERAL ARTS COLLEGE (2025)
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AUTOMATED ASSESSMENT OF ARTEFACTS USING AI (2024)
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THE ROLE OF AI CODING ASSISTANTS: REVISITING THE NEED FOR LITERATE PROGRAMMING IN COMPUTER AND DATA SCIENCE EDUCATION (2024)
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Teaching Data Science with Literate Programming Tools (2023)
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Teaching Data Science with Literate Programming Tools (2023)
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Development of a usability testing procedure for process mining tools (2022)
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Teaching Data Science in a Synchronous Online Introductory Course at a Business School – A Case Study (2021)
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