Das Lernfeldkonzept in den Lehrplänen der IT-Berufe - Vorstudie zur schülerseitigen Akzeptanz und Umsetzbarkeit von selbstgesteuerten Lerneinheiten im Lernfeld "Entwickeln und Bereitstellen von Anwendungssystemen". - Simone Opel (INFOS, 2011)

Learning fields in vocational IT education: why teachers refrain from taking an opportunity. - Simone Opel; Torsten Brinda (WiPSCE, 2012)

Learning Fields in Vocational IT Education - How Teachers Interpret the Concept. - Simone Opel; Torsten Brinda (ISSEP, 2013)

Arguments for contextual teaching with learning fields in vocational IT schools: results of an interview study among IT and CS training companies. - Simone Opel; Torsten Brinda (WiPSCE, 2013)

Practical implementation of learning fields in vocational IT/CS education: a guideline on designing learning situations. - Simone Opel; Alexander Höpfl; Torsten Brinda (WiPSCE, 2013)

Analysis of Real-Life Working Processes, Competencies and Operational Fields for the Usage in Vocational IT Education - Results of an Empirical Study Based on Job Offers. - Simone Opel; Axel Wellesen (KCICTP/ITEM, 2014)

"Computer Science in Context" and "Learning Fields" in Vocational Computer Science Education - Two Unlike Siblings? - Simone Opel; Torsten Brinda (ISSEP, 2014)

What do I have to know and to do? Development of a Theory-based, Normative Competence Description for the Profession of Computer Specialists. - Simone Opel; Torsten Brinda (WiPSCE, 2015)

Drafting a Data Science Curriculum for Secondary Schools. - Birte Heinemann; Simone Opel; Lea Budde; Carsten Schulte 001; Daniel Frischemeier; Rolf Biehler; Susanne Podworny; Thomas Wassong (Koli Calling, 2018)

Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. - Simone Opel; Michael Schlichtig; Carsten Schulte 001; Rolf Biehler; Daniel Frischemeier; Susanne Podworny; Thomas Wassong (INFOS, 2019)

Maschinelles Lernen im Unterricht mit Jupyter Notebook. - Michael Schlichtig; Simone Opel; Carsten Schulte 001; Rolf Biehler; Daniel Frischemeier; Susanne Podworny; Thomas Wassong (INFOS, 2019)

Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). - Simone Opel; Michael Schlichtig; Carsten Schulte 001 (WiPSCE, 2019)

"Mensch, Maschine!" - Spielerisch KI, maschinelles Lernen und ihre gesellschaftlichen Wirkungen verstehen. - Simone Opel (LOG IN, 2020)

Entwicklung eines arbeitsprozessorientierten Kompetenzstrukturmodells für die Ausbildung zum Fachinformatiker bzw. zur Fachinformatikerin (Development of a work process-oriented competence structure model for the profession of IT specialists) - Simone Opel (2020)

AsTRA - An Assessment Tool for Recognition and Adaptation of Prior Professional Experience and Vocational Training. - Simone Opel; Cajus Marian Netzer; Jörg Desel (OCCE, 2021)

Doktorand*innenkolloquium. - Daniel Losch; Simone Opel (INFOS, 2021)

Mitgliederversammlung der GI-Fachgruppe »Berufliche Bildung in Informatik (BBI)«. - Simone Opel; Steffen Jaschke (INFOS, 2021)

Knowledge Graphs for Competency-Based Education. - Andrea Linxen; Florian Endel; Simone Opel; Christian Beecks (IEEE Big Data, 2023)

Prototyping a Virtual Tutor with Modular Teaching Styles. - Andrea Linxen; Simone Opel; Stephanie Ebbing; Christian Beecks (DELFI, 2023)

What Students Should Learn and Teachers Must Know About Artificial Intelligence. - Simone Opel; Andrea Linxen; Christian Beecks (IDEAL (2), 2024)

With Great Power Comes Great Responsibility - Integrating Data Ethics into Computing Education. - Natalie Kiesler; Simone Opel; Carsten Thorbrügge (ITiCSE (1), 2024)

How Instructors Incorporate Generative AI into Teaching Computing. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Virginia Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE (2), 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE-WGR, 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (CoRR, 2024)

Implementing Learning Paths into Data Science Courses - a Qualitative Approach. - Maria Potanin; Maike Holtkemper; Simone Opel; Andrea Linxen; Christian Beecks; Tobias Golz (EDUCON, 2025)

Developing an AI Concept Inventory for Non-Experts. - Linda Mannila; Julie Henry; Tobias Bahr; Christos Chytas; Harold S. Connamacher; Henry Hickman; Barbara C. N. Müller; Simone Opel; Andreas Scholl (ITiCSE (2), 2025)

Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können. - Daniel Losch; Steffen Jaschke; Tilman Michaeli; Simone Opel; Ute Schmid; Stefan Seegerer; Peer Stechert (Inform. Spektrum, 2025)