When it comes to integrating digital technologies into the classroom in higher education, many teachers face similar challenges. Nevertheless, it is difficult for teachers to share experiences because it is usually not possible to transfer successful teaching scenarios directly from one area to another, as subject-specific characteristics make it difficult to reuse them. To address this problem, instructional scenarios can be described as patterns that have been used previously in educational contexts. Patterns can capture proven teaching strategies and describe instructional scenarios in a consistent structure that can be reused. Because priorities for content, methods, and tools are different in each domain, a consensus-tested taxonomy was first developed with the goal of modeling a domain-independent database to collect digital instructional practices. In addition, this presentation will present preliminary insights into a data-driven approach to identifying effective instructional practices from interdisciplinary data as patterns. A web-based application will be developed for this that can both collect teaching/learning scenarios and individually extract scenarios from patterns for a learning platform.

1. Towards a Data-driven
Identification of Teaching-Patterns
Jun. Prof. Dr. Bernhard Standl
8.7.2022
TEWI-Kolloquium

2. Pädagogische
Hochschule
Karlsruhe

3. Karlsruhe

4. Unser
Team
Nico Hillah Bernhard Standl
Frauke Ritter
Anette Bentz Nadine Schlomske-
Bodenstein
Vincenzo Fragapane
Stefan Weber Manuela Adrigan

5. Motivation
Identifikation von Best-Practice-Lehr-Beispielen entlang
Kriterien guter Lehre (Helmke, 2009; Seidel & Shavelson, 2007)
Entwicklung einer expertenbasierten Taxonomie als
Grundlage zur Ontologisierung (Nicola & Missikoff, 2016)
Identifikation von effektiven Teaching Patterns mittels
Pattern Mining (Alexander et al., 1977; Derntl, 2006; Standl, 2014)

6. Im Detail findet
sich das
Wesentliche.
Identifikation und
Beschreibung von
Entwurfsmustern
für Lehr-Lern-
Sequenzen.
• Was sind Entwurfsmuster?
• Wie werden Entwurfsmuster identifiziert?
• Wie werden Entwurfsmuster zurück in die
Praxis geführt?

7. Wie sehen Entwurfsmuster aus?
Einheitliche Beschreibung von
Vorgehensweisen im Format:
• Problem
• Kontext/Prozess
• Lösung
C. Alexander, S. Ishikawa, and M. Silverstein,A Pattern Language:Towns,
Buildings, Construction. Oxford: University Press, 1977.

8. E-Learning
- Umfeld
- Problem
- Lösung
- Details
- Stolpersteine
- Vorteile
- Nachteile
- Beispiel
www.uni-hamburg.de/elearning/methoden.html

9. Was sind Entwurfsmuster?
Anordnung
[…] when a pattern language is
used in practice for an individual
application, the user starts from a
pattern, which most represents
the overall goal of the project
and then moving to the relevant
lower patterns down the
hierarchy.
Alexander, 1977

11. Falkenthal, M., Barzen, J., Breitenbücher, U., Brügmann, S., Joos, D., Leymann, F., & Wurster, M. (2017). Pattern research in the digital humanities: how data mining techniques
support the identification of costume patterns. Computer Science-Research and Development, 32(3), 311-321
Use of iPads
Use of
App XY
Problem-
based
Learning
Room
xy
Teacher A
Lecture
A
Empirical
validated
impact of
Lecture

12. https://www.ph-karlsruhe.de/projekte/indiko

14. Taxonomie-Entwicklung für Datenstruktur zur Erfassung
von innovativen digitalen Lehr-Lern Szenarien. Derzeit
Validierung durch Delphi-Prozess

17. Datenbank

18. Standl, B., & Schlomske-Bodenstein, N. (2021). A pattern mining method for teaching practices. Future Internet, 13(5), 106.

19. Standl, B., & Schlomske-Bodenstein, N. (2021). A pattern mining method for teaching practices. Future Internet, 13(5), 106.

22. Alexander, C., Ishikawa, S., & Silverstein, M. (1977). A Pattern Language: Towns, Buildings,Construction.
Oxford: University Press.
De Nicola, A., & Missikoff, M. (2016). A lightweight methodology for rapid ontology engineering.
Communications of the ACM, 59(3), 79-86.
Derntl, M. (2006). Patterns for person centered e-learning. University of Vienna.
Falkenthal, M., Barzen, J., Breitenbücher, U., Brügmann, S., Joos, D., Leymann, F., & Wurster, M. (2017).
Pattern research in the digital humanities: how data mining techniques support the identification of
costume patterns. Computer Science-Research and Development, 32(3), 311-321
Helmke, A. (2009). Unterrichtsqualität und Lehrerprofessionalität – Diagnose, Evaluation und
Verbesserung des Unterrichts. Seelze, Kallmeyer.
Seidel, T., & Shavelson, R. J. (2007). Teaching effectiveness research in the past decade: The role of
theory and research design in disentangling meta-analysis results. Review of Educational Research,
77(4), 454-499. doi: 10.3102/0034654307310317
Standl, B. (2014). Conceptual Modeling and Innovative Implementation of Person-centered Computer
Science Education at Secondary School Level. University of Vienna.
Standl, B., & Schlomske-Bodenstein, N. (2021). A pattern mining method for teaching practices. Future
Internet, 13(5), 106.