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ORCIDLukas Höper
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2020 – today
- 2024
[j3]Felix Winkelnkemper, Lukas Höper, Carsten Schulte:
ARIadne - An Explanation Model for Digital Artefacts. Informatics Educ. 23(2): 479-505 (2024)- [j2]Lukas Höper, Carsten Schulte:
Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies. Informatics Educ. 23(3): 593-624 (2024) - [c10]Lukas Höper
, Carsten Schulte, Andreas Mühling:
Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education. ICER (1) 2024: 326-342 - [c9]Lukas Höper, Carsten Schulte, Andreas Mühling:
Students' Motivation and Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life. ITiCSE (1) 2024 - [c8]Lukas Höper, Carsten Schulte:
New Perspectives on the Future of Computing Education: Teaching and Learning Explanatory Models. Koli Calling 2024: 22:1-22:8 - [p1]Lukas Höper, Carsten Schulte, Christoph Benzmüller:
Verantwortung. Künstliche Intelligenz für Lehrkräfte 2024: 219-236 - 2023
- [c7]Yannik Fleischer, Sven Hülsing, Rolf Biehler, Lukas Höper, Susanne Podworny, Carsten Schulte:
Ein Projektkurs Data Science und Künstliche Intelligenz für die Sekundarstufe II. GI-Jahrestagung 2023: 453-455 - 2021
- [j1]Lukas Höper, Sven Hüsing, Hülya Malatyali, Carsten Schulte, Lea Budde:
Methodik für Datenprojekte im Informatikunterricht. LOG IN 41(1): 31-38 (2021) - [c6]Lukas Höper, Carsten Schulte:
Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten. GI-Jahrestagung 2021: 1623-132 - [c5]Susanne Podworny, Yannik Fleischer, Sven Hüsing, Rolf Biehler, Daniel Frischemeier, Lukas Höper, Carsten Schulte:
Using data cards for teaching data based decision trees in middle school. Koli Calling 2021: 39:1-39:3 - [c4]Lukas Höper:
Developing and evaluating the concept data awareness for K12 computing education. Koli Calling 2021: 41:1-41:3 - [c3]Lukas Höper, Carsten Schulte:
Datenbewusstsein: Aufmerksamkeit für die eigenen Daten. INFOS 2021: 73-82 - [c2]Susanne Podworny, Lukas Höper, Yannik Fleischer, Sven Hüsing, Carsten Schulte:
Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. INFOS 2021: 327 - [c1]Lukas Höper, Susanne Podworny, Sven Hüsing, Carsten Schulte, Yannik Fleischer, Rolf Biehler, Daniel Frischemeier, Hülya Malatyali:
Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. INFOS 2021: 345
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last updated on 2024-12-19 23:11 CET by the dblp team
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