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Standl, Bernhard (Prof. Dr.)
Fakultät für Natur- und Sozialwissenschaften • Institut für Informatik und digitale Bildung
OrcID: 0000-0002-8849-2980
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Projekte:  
Projekt-ID:193
akt. laufend
Kooperatives Promotionskolleg „Wissensmedien. Technologie, Lernen und Anwendung aus interdisziplinärer Perspektive“
Projekt-ID:188
abgeschlossen
DigiSET Digital Skills Enhancement
Projekt-ID:187
abgeschlossen
DiAs - Digital Assessment – Digitales, kompetenzorientiertes Prüfen an der Pädagogischen Hochschule Karlsruhe
Projekt-ID:180
abgeschlossen
InDiKo: Nachhaltige Integration von fachdidaktischen digitalen Lehr-Lern-Konzepten an der Pädagogischen Hochschule Karlsruhe
Projekt-ID:172
abgeschlossen
Lehr-Lern-Labor Informatik an der PH Karlsruhe
Publikationen:  

A Pilot Study to Identify Evidence-based Technology-enhanced Teaching Patterns in Pre-service Teacher Education

Schlomske-Bodenstein, N. & Standl, B. (2022). A Pilot Study to Identify Evidence-based Technology-enhanced Teaching Patterns in Pre-service Teacher Education, Proceedings of the Society for Information Technology & Teacher Education International Conference (SITE 2022) (S.661-666). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE).
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Development of a Vignette-based Instrument to Assess Students’ Perception of the Teacher's Empathy during Collaborative Algorithmic Problem-solving Tasks

Standl, B. & Schlomske-Bodenstein, N. (2022). Development of a Vignette-based Instrument to Assess Students’ Perception of the Teacher's Empathy during Collaborative Algorithmic Problem-solving Tasks, Proceedings of 2022 IEEE Global Engineering Education Conference (EDUCON) (S.1153-1159). Tunis, Tunisia: IEEE.
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Digitale Lehre nachhaltig gestalten

Digitale Lehre nachhaltig gestalten
"Standl B. (Hrsg.) (2022). Digitale Lehre nachhaltig gestalten. Münster: Waxmann.
Hrg.Werk
Detaiils

Exploring Pre-service Computer Science Teachers’ Perception of Collaborative Learning in Online Teaching from a TPK Perspective

Standl, B. & Schlomske-Bodenstein, N. (2022). Exploring Pre-service Computer Science Teachers’ Perception of Collaborative Learning in Online Teaching from a TPK Perspective, Mobility for Smart Cities and Regional Development - Challenges for Higher Education (S.107-113) (Band 389). Cham: Springer.
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First experiences of integrating computational thinking into a blended learning in-service training program for STEM teachers

Knie, L., Standl, B. & Schwarzer, S. (2022). First experiences of integrating computational thinking into a blended learning in-service training program for STEM teachers, Computer Applications in Engineering Education, 2022.
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Identification of pupils’ preferences of patterners and dramatists in secondary school computer science education

Bentz, A. & Standl, B. (2022). Identification of pupils’ preferences of patterners and dramatists in secondary school computer science education, Discover Education, 2022(11).
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MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen Zur Strukturierten Erfassung von Daten

Bühler, F., Barzen, J., Leymann, F., Standl, B. & Schlomske-Bodenstein, N. (2022). MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen Zur Strukturierten Erfassung von Daten, 8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, DHd 2022. Potsdam: Dhd.
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Promoting Computational Thinking in Teacher Education - Combining Semantic Waves and Algorithmic Thinking

Ritter, F. & Standl, B. (2022). Promoting Computational Thinking in Teacher Education - Combining Semantic Waves and Algorithmic Thinking, ACM Conference on International Computing Education Research (ICER) (S.48-49). Lugano and Virtual Event, Switzerland: Association for Computing Machinery (ACM).
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Promoting Student Competencies in Informatics Education by Combining Semantic Waves and Algorithmic Thinking

Ritter, F. & Standl, B. (2022). Promoting Student Competencies in Informatics Education by Combining Semantic Waves and Algorithmic Thinking, Informatics in Education, 2022.
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