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Towards a data driven identification of teaching patterns.pdf
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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.
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Towards a data driven identification of teaching patterns.pdf
- Towards a Data-driven Identification of Teaching-Patterns Jun. Prof. Dr. Bernhard Standl 8.7.2022 TEWI-Kolloquium
- Pädagogische Hochschule Karlsruhe
- Karlsruhe
- Unser Team Nico Hillah Bernhard Standl Frauke Ritter Anette Bentz Nadine Schlomske- Bodenstein Vincenzo Fragapane Stefan Weber Manuela Adrigan
- 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)
- 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?
- 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.
- E-Learning - Umfeld - Problem - Lösung - Details - Stolpersteine - Vorteile - Nachteile - Beispiel www.uni-hamburg.de/elearning/methoden.html
- 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
- 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
- https://www.ph-karlsruhe.de/projekte/indiko
- Taxonomie-Entwicklung für Datenstruktur zur Erfassung von innovativen digitalen Lehr-Lern Szenarien. Derzeit Validierung durch Delphi-Prozess
- Datenbank
- Standl, B., & Schlomske-Bodenstein, N. (2021). A pattern mining method for teaching practices. Future Internet, 13(5), 106.
- Standl, B., & Schlomske-Bodenstein, N. (2021). A pattern mining method for teaching practices. Future Internet, 13(5), 106.
- 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.