I am Viktoriya Olari. My research imagines and enables young people understand, evaluate, model and create data-driven AI systems. I draw from computing education, data science, data literacy, AI literacy, and learning sciences.

I work at the Computing Education Research Group led by Prof. Dr. Ralf Romeike at Freie Universität Berlin in Germany. Previously, I was a research scientist at Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, collaborating with Roberta-Initiative – an open-source STEM education platform for coding and robotics in Germany.

Here, you can explore publications or find out what I’m currently working on and what fascinating projects I have previously been involved in.

News

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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Say hello at: viktoriya.olari@fu-berlin.de or visit me at Google Scholar - ORCID - Computingeducation

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