Marcus Birkenkrahe

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Visiting Associate Professor of Data Science

Lyon College

Faculty Researcher

1 h-index 9 pubs 9 cited

Research Areas

Links

ORCID

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

GENERATIVE AI IN RESEARCH: TOOL, MUSE, OR MIRROR? (2025)

ICERI proceedings DOI OpenAlex
Truth Matters: Generative AI as Muse or Tool in the Research Process (2025)

International Journal of Electrical and Computer Engineering Research DOI OpenAlex
GENERATIVE AI TOOLS IN HIGHER EDUCATION: A CASE STUDY OF STUDENT USAGE AT A SMALL LIBERAL ARTS COLLEGE (2025)

INTED proceedings DOI OpenAlex
AUTOMATED ASSESSMENT OF ARTEFACTS USING AI (2024)

ICERI proceedings 1 citation DOI OpenAlex
THE ROLE OF AI CODING ASSISTANTS: REVISITING THE NEED FOR LITERATE PROGRAMMING IN COMPUTER AND DATA SCIENCE EDUCATION (2024)

INTED proceedings 1 citation DOI OpenAlex
Teaching Data Science with Literate Programming Tools (2023)

Digital 2 citations DOI OpenAlex
Teaching Data Science with Literate Programming Tools (2023)

Preprints.org 1 citation DOI OpenAlex
Development of a usability testing procedure for process mining tools (2022)

International Journal of Data Science DOI OpenAlex
Teaching Data Science in a Synchronous Online Introductory Course at a Business School – A Case Study (2021)

Lecture notes in networks and systems 5 citations DOI OpenAlex