Relevance of artificial inrelevance of artificial intelligence components in workflow-based student projects
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Authors
Author (Corporation)
Publication date
2024
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
INTED2024 Proceedings
Special issue
DOI of the original publication
Link
Series
INTED Proceedings
Series number
Volume
Issue / Number
Pages / Duration
3442-3450
Patent number
Publisher / Publishing institution
International Academy of Technology, Education and Development (IATED)
Place of publication / Event location
Valencia
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
One of the big challenges today is innovative teaching concepts for business students in the area of digitalization. At the beginning of their study, students usually know only basics of IT mainly related to their private (mobile) environment and not real business scenarios such as business process management or workflow management.
This paper explores innovative teaching concepts in the digitalization area for business students. It focuses on how students perceive process automation in workflows using tools like Camunda, particularly when tasks involve artificial intelligence (AI) components. The study assesses student engagement and learning effectiveness in projects involving decision models (DMN) and ChatGPT integration. The hypothesis suggests that tasks with ChatGPT are perceived as more enjoyable and relevant compared to DMN tasks. The research methodology includes questionnaires and data analysis, evaluating the responses of over 98 participating students. The results indicate a preference for AI-integrated tasks, highlighting the potential of AI in enhancing educational outcomes and student engagement in digital workflows.
Keywords
Subject (DDC)
Event
18th International Technology, Education and Development Conference
Exhibition start date
Exhibition end date
Conference start date
04.03.2024
Conference end date
06.03.2024
Date of the last check
ISBN
978-84-09-59215-9
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Dannecker, A., & Meyer, L. (2024). Relevance of artificial inrelevance of artificial intelligence components in workflow-based student projects. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2024 Proceedings (pp. 3442–3450). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/inted.2024.0912