Publications — Viktoriya Olari

Viktoriya Olari, Ralf Romeike (2025)

Teaching Data Concepts and Practices in Secondary School Education on Artificial Intelligence: Approaches, Mechanisms, and Emerging Local Theories

Proceedings of the 25th Koli Calling International Conference on Computing Education Research

The study identifies nine learning mechanisms and five local instructional theories following the conjecture mapping approach.

cite

@inproceedings{olari2025teaching,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {Teaching Data Concepts and Practices in Secondary School Education on Artificial Intelligence: Approaches, Mechanisms, and Emerging Local Theories},
  booktitle = {Proceedings of the 25th Koli Calling International Conference on Computing Education Research},
  year = {2025},
  pages = {35:1--35:12},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3769994.3770021},
  url = {https://doi.org/10.1145/3769994.3770021}
}

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Viktoriya Olari, Ralf Romeike (2025)

The Data Case Study – A Teaching and Learning Method for Computer Science Education in Schools

Proceedings of the ACM Global Computing Education Conference 2025 Vol 1

The study reports on the adaptation of the case study method from university-level data science education to secondary computer science education on the topic of AI.

cite

@inproceedings{olari2025data,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {The Data Case Study – A Teaching and Learning Method for Computer Science Education in Schools},
  booktitle = {Proceedings of the ACM Global Computing Education Conference 2025 Vol 1},
  year = {2025},
  pages = {225--232},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3736181.3747164},
  url = {https://doi.org/10.1145/3736181.3747164}
}

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Data-related concepts for artificial intelligence education in K-12

Viktoriya Olari, Ralf Romeike (2024)

Computers and Education Open

The study elaborates a model of 133 data-related concepts for K-12 AI education, organized according to eight stages of the data lifecycle.

cite

@article{olari2024concepts,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {Data-related concepts for artificial intelligence education in K-12},
  journal = {Computers and Education Open},
  volume = {7},
  pages = {100196},
  year = {2024},
  publisher = {Elsevier},
  doi = {10.1016/j.caeo.2024.100196},
  url = {https://doi.org/10.1016/j.caeo.2024.100196}
}

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Data-related Practices for Creating Artificial Intelligence Systems in K-12

Viktoriya Olari, Ralf Romeike (2024)

The 19th WiPSCE Conference on Primary and Secondary Computing Education Research

The study elaborates a process model of 28 key data-related practices involved in creating machine-learning systems, organized according to eight stages of the data lifecycle.

cite

@inproceedings{olari2024practices,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {Data-related Practices for Creating Artificial Intelligence Systems in K-12},
  booktitle = {Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research},
  year = {2024},
  articleno = {5},
  numpages = {10},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3677619.3678115},
  url = {https://doi.org/10.1145/3677619.3678115}
}

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Viktoriya Olari, Ralf Romeike (2025)

Die Datenfallstudie – eine Lehr-Lern-Methode für den Informatikunterricht

Grenzen überwinden – voneinander lernen: 21. GI-Fachtagung Informatik und Schule (INFOS 2025)

Im Artikel wird über die Anpassung der Fallstudienmethode aus der universitären Data-Science-Bildung für den Informatikunterricht berichtet.

cite

@inproceedings{olari2025datenfallstudie,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {Die Datenfallstudie – eine Lehr-Lern-Methode für den Informatikunterricht},
  booktitle = {Grenzen überwinden – voneinander lernen: 21. GI-Fachtagung Informatik und Schule (INFOS 2025)},
  editor = {Grillenberger, Michael and Grillenberger, Andreas},
  year = {2025},
  pages = {217--226},
  publisher = {Gesellschaft für Informatik e.V.},
  address = {Bonn},
  doi = {10.18420/infos2025_wi_14},
  url = {https://doi.org/10.18420/infos2025_wi_14}
}

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Viktoriya Olari, Ralf Romeike (2026)

Shared Vocabulary and Pedagogy for AI Education: Data Concepts, Data Practices, and the Data Case Study

CHI '26 Workshop: Data Literacy for the 21st Century: Perspectives from Visualization, Cognitive Science, Artificial Intelligence, and Education

This paper summarizes my work on the data-related concepts, data-related practices and the data case study.

cite

@inproceedings{olari2026shared,
  author = {Olari, Viktoriya and Romeike, Ralf},
  title = {Shared Vocabulary and Pedagogy for AI Education: Data Concepts, Data Practices, and the Data Case Study},
  booktitle = {Proceedings of the CHI '26 Workshop: Data Literacy for the 21st Century: Perspectives from Visualization, Cognitive Science, Artificial Intelligence, and Education},
  year = {2026},
  numpages = {6},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.5281/zenodo.19335526},
  url = {https://doi.org/10.5281/zenodo.19335526}
}

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