Research Article
Cross-Continental Insights: Comparative Analysis of Using AI for Information System Stakeholder Analysis in Undergraduate Courses in the EU and USA
@INPROCEEDINGS{10.1007/978-3-031-84312-9_23, author={Vijay Kanabar and Kalinka Kaloyanova}, title={Cross-Continental Insights: Comparative Analysis of Using AI for Information System Stakeholder Analysis in Undergraduate Courses in the EU and USA}, proceedings={Computer Science and Education in Computer Science. 20th EAI International Conference, CSECS 2024, Sofia, Bulgaria, June 28--30, 2024, Proceedings}, proceedings_a={CSECS}, year={2025}, month={3}, keywords={Generative Artificial Intelligence (AI) Information Seeking Learning process AI Software Development Project Management Education Stakeholder Analysis}, doi={10.1007/978-3-031-84312-9_23} }- Vijay Kanabar
Kalinka Kaloyanova
Year: 2025
Cross-Continental Insights: Comparative Analysis of Using AI for Information System Stakeholder Analysis in Undergraduate Courses in the EU and USA
CSECS
Springer
DOI: 10.1007/978-3-031-84312-9_23
Abstract
The study investigates the use of AI in studying business aspects of software development and project management. Specifically, the research aims to determine how generative AI tools like ChatGPT can be used by students who do not yet have much experience using such tools or have mastered the role of stakeholders and processes such as creating a stakeholder register or engagement plan to involve them effectively. Unique approaches were considered to assess the student′s use of AI, including collaborating with instructors at different universities. The research provides valuable insights about integrating AI for educational purposes, how AI can effectively augment the learning process, and documents how students using AI were more productive than the control group not using AI. However, our research reveals that students believe their work is more relevant and of better quality.
