ORCID: https://orcid.org/0000-0002-9647-300X; Kreidenweis, Melanie
ORCID: https://orcid.org/0000-0001-8659-525X und Wurm, Zora
(2023):
Learning from Agile Methods: Using a Kanban Board for Classroom Orchestration.
25th International Conference on Interactive Collaborative Learning (ICL) / 51st IGIP International Conference on Engineering Pedagogy, Vienna, Austria, 27. - 30. September 2022.
Auer, Michael E.; Pachatz, Wolfgang und Rüütmann, Tiia (Hrsg.):
In: Learning in the Age of Digital and Green Transition, Lecture Notes in Networks and Systems
Bd. 633
Cham: Springer. S. 68-79
Abstract
Task-driven learning arrangements have shown to be a good learning opportunity for students and provide a viable way for differentiation and self-paced learning. However, existing approaches do not provide an overview of the current status of tasks to the teacher in collaborative settings at the same time. This overview is a crucial prerequisite for effective mentoring and guiding the students. Agile methods have shown to successfully address similar issues for planning, structuring, and visualizing the work in software engineering. In this paper a teaching method based on a Kanban board is presented which transfers the principles and advantages of agile methods to the domain of teaching for classroom orchestration. Furthermore, an offline usable digital prototype for supporting agile teaching scenarios was developed that allows teachers to easily prepare such scenarios and students to document and visualize the current work status. Lessons learned and recommendations for the agile teaching method are discussed. A preliminary study shows that the digital tool supports students and teachers on their learning/teaching path and has a good useability.
Dokumententyp: | Konferenzbeitrag (Paper) |
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Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
ISBN: | 978-3-031-26875-5 ; 978-3-031-26876-2 ; 978-3-031-26877-9 |
ISSN: | 2367-3370 |
Ort: | Cham |
Sprache: | Englisch |
Dokumenten ID: | 124504 |
Datum der Veröffentlichung auf Open Access LMU: | 09. Mrz. 2025 10:06 |
Letzte Änderungen: | 09. Mrz. 2025 10:06 |