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2020 – today
- 2024
[c22]Oliver Kastner-Hauler
, Bernhard Standl, Barbara Sabitzer, Zsolt Lavicza:
Developing Design Principles for Computational Thinking Learning Environments: Pathways into Practice with Physical Computing. CSEDU (1) 2024: 445-453- [c21]Anne Frenzke-Shim, Dorothee Kohl-Dietrich, Bernhard Standl, Moritz Langner, Alexander Maedche, Ulf Kerber:
The Evolving Role of Generative AI in Text Literacies: Exploring the Potential of Cognition-Adaptive Assistance. EDUCON 2024: 1-3 - [c20]Frauke Ritter, Bernhard Standl:
Semantic Waves: A Strategy for Algorithmic Skills in K-12 Computer Science Education. EDUCON 2024: 1-10 - 2023
- [c19]Claudia Hildebrandt, Barbara Pampel, Bernhard Standl, Franz J. Hauck, Mattias Ulbrich, Barbara Paech:
Neue Einblicke in den Berufswahlprozess von Informatiklehrkräften. INFOS 2023: 83-92 - [c18]Anette Bentz, Bernhard Standl:
Beyond Gender Differences: Can Scratch Programs Indicate Students' Preferences? WiPSCE 2023: 8:1-8:10 - [c17]Anette Bentz, Bernhard Standl:
Novice Programmers Conceptions of Loops in K-12 Education in Consideration of Interest and Ability. WiPSCE 2023: 9:1-9:9 - 2022
- [j5]Lisa Knie, Bernhard Standl, Stefan Schwarzer:
First experiences of integrating computational thinking into a blended learning in-service training program for STEM teachers. Comput. Appl. Eng. Educ. 30(5): 1423-1439 (2022) - [c16]Fabian Bühler, Johanna Barzen, Frank Leymann, Bernhard Standl, Nadine Schlomske-Bodenstein:
MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. DHd 2022 - [c15]Fabian Bühler, Johanna Barzen, Frank Leymann, Bernhard Standl, Nadine Schlomske-Bodenstein:
MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. DHd 2022 - [c14]Bernhard Standl, Nadine Schlomske-Bodenstein:
Development of a Vignette-based Instrument to Assess Students' Perception of the Teacher's Empathy during Collaborative Algorithmic Problem-solving Tasks. EDUCON 2022: 1154-1160 - [c13]Frauke Ritter, Bernhard Standl:
Promoting Computational Thinking in Teacher Education - Combining Semantic Waves and Algorithmic Thinking. ICER (2) 2022: 48-49 - [c12]Bernhard Standl:
Pre-Service Computer Science Teachers' Computational Thinking Attitudes and Performance on Python Tasks. Koli Calling 2022: 37:1-37:2 - 2021
- [j4]Bernhard Standl, Nadine Schlomske-Bodenstein:
A Pattern Mining Method for Teaching Practices. Future Internet 13(5): 106 (2021) - [j3]Bernhard Standl, Thomas Kühn, Nadine Schlomske-Bodenstein:
Student-Collaboration in Online Computer Science Courses - An Explorative Case Study. Int. J. Eng. Pedagog. 11(5) (2021) - [c11]Vincenzo Fragapane, Bernhard Standl:
Work in Progress: Creative Coding and Computer Science Education - From Approach to Concept. EDUCON 2021: 1233-1236 - [c10]Bernhard Standl, Nadine Schlomske-Bodenstein:
Exploring Pre-service Computer Science Teachers' Perception of Collaborative Learning in Online Teaching from a TPK Perspective. ICL (1) 2021: 107-113 - [c9]Bernhard Standl, Nadine Schlomske-Bodenstein:
Exploring Indicators to Promote Pre-service Teachers' Self-Efficacy in Programming Tasks. Koli Calling 2021: 40:1-40:3 - [c8]Bernhard Standl, Nadine Schlomske-Bodenstein:
Investigating Teacher's Empathy and Its Impact on Pre-Service Teachers' Self-Efficacy in Programming Tasks. WiPSCE 2021: 10:1-10:2 - 2020
- [c7]Bernhard Standl, Anette Bentz, Mattias Ulbrich, Annika Vielsack, Ingo Wagner:
Design- and Evaluation-Concept for Teaching and Learning Laboratories in Informatics Teacher Education. ISSEP 2020: 133-145 - [c6]Anette Bentz, Bernhard Standl:
Preliminary Experiences Towards an Inclusion of Dramatists - Teach Logic with Language (short paper). ISSEP (CEURWS Volume) 2020: 171-175
2010 – 2019
- 2019
- [j2]Andrew Csizmadia, Bernhard Standl, Jane Waite:
Integrating the Constructionist Learning Theory with Computational Thinking Classroom Activities. Informatics Educ. 18(1): 41-67 (2019) - 2018
- [c5]Bernhard Standl, Elisabeth Wetzinger, Gerald Futschek, Elisabeth Anna Guenther:
First-year computer science students perception of lectures in relation to type of high-school education. EDUCON 2018: 1389-1394 - 2017
- [c4]Bernhard Standl:
Solving Everyday Challenges in a Computational Way of Thinking. ISSEP 2017: 180-191 - [c3]Bernhard Standl, Elisabeth Wetzinger, Gerald Futschek:
Student Retention: Towards Defining Measures for Improved Quality of Teaching and Learning in the First Year of Computer Science Studies. WCCE 2017: 640-647 - 2016
- [c2]Bernhard Standl:
A case study on cooperative problem solving processes in small 9th grade student groups. EDUCON 2016: 961-967 - 2013
- [j1]Renate Motschnig-Pitrik, Bernhard Standl:
Person-centered technology enhanced learning: Dimensions of added value. Comput. Hum. Behav. 29(2): 401-409 (2013) - [c1]Bernhard Standl:
Conceptual patterns for student-centered computer science education at secondary school level. WiPSCE 2013: 45-46
Coauthor Index
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