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Viktoriya Olari

Researcher in Computing Education

Computingeducation ORCID Google Scholar
Publications Projects Events About

Publications

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

    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}
    }
    pdf · doi
  • Teaching Data Concepts and Practices in Secondary School Education on Artificial Intelligence: Approaches, Mechanisms, and Emerging Local Theories

    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}
    }
    pdf · doi
  • The Data Case Study – A Teaching and Learning Method for Computer Science Education in Schools

    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}
    }
    pdf · doi
  • Die Datenfallstudie – eine Lehr-Lern-Methode für den Informatikunterricht

    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}
    }
    pdf · doi
  • Data-related Practices for Creating Artificial Intelligence Systems in K-12

    Viktoriya Olari, Ralf Romeike (2024)

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

    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}
    }
    pdf · doi · link
  • Data-related concepts for artificial intelligence education in K-12

    Viktoriya Olari, Ralf Romeike (2024)

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

    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}
    }
    pdf · doi
  • Professional Development for Teachers in Artificial Intelligence and Data Literacy

    Viktoriya Olari, Till Zoppke, Martin Reger, Evgenia Samoilova, Martin Kandlhofer, Valentina Dagiene, Ulrike Lucke, Ralf Romeike (2024)

    Professional Development for Teachers in Artificial Intelligence and Data Literacy

    OCCE 2024 - Digitally Transformed Education: Are We There Yet?

    We present the results of a professional development program evaluated with 70 computing teachers. Among other outcomes, the teachers' perceived competence in introducing students to AI increased. Teachers improved their understanding of AI concepts.

    cite
    @InProceedings{10.1007/978-3-031-88744-4_2,
      author = {Olari, Viktoriya and Zoppke, Till and Reger, Martin and Samoilova, Evgenia and Kandlhofer, Martin and Dagien{\.{e}}, Valentina and Lucke, Ulrike and Romeike, Ralf},
      editor = {Leahy, Margaret and Reffay, Christophe},
      title = {Professional Development for Teachers in Artificial Intelligence and Data Literacy},
      booktitle = {Digitally Transformed Education: Are We There Yet?},
      year = {2025},
      publisher = {Springer Nature Switzerland},
      address = {Cham},
      pages = {15--27},
      isbn = {978-3-031-88744-4}
    }
    pdf · doi
  • Data Literacy as a Fundamental Component of Artificial Intelligence Education in Schools (Doctoral Consortium)

    Viktoriya Olari (2023)

    Data Literacy as a Fundamental Component of Artificial Intelligence Education in Schools (Doctoral Consortium)

    Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

    When it comes to education about AI in schools, there is little evidence on which data-related skills are fundamental and how to help students acquire them effectively. I propose considering data literacy as a fundamental component in AI education.

    cite
    @inproceedings{10.1145/3631802.3631839,
    author = {Olari, Viktoriya},
    title = {Data Literacy as a Fundamental Component of Artificial Intelligence Education in Schools (Doctoral Consortium)},
    year = {2024},
    isbn = {9798400716539},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3631802.3631839},
    doi = {10.1145/3631802.3631839},
    booktitle = {Proceedings of the 23rd Koli Calling International Conference on Computing Education Research},
    articleno = {34},
    numpages = {2},
    keywords = {Artificial Intelligence literacy, case study, data literacy, school education},
    location = {Koli, Finland},
    series = {Koli Calling '23}
    }
    pdf · doi
  • Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education

    Viktoriya Olari, Till Zoppke, Martin Reger, Evgenia Samoilova, Martin Kandlhofer, Valentina Dagiene, Ralf Romeike, Anna Sarah Lieckfeld, Ulrike Lucke (2023)

    Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education

    Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

    We developed a training concept and evaluated it with computer science teachers from Germany, Austria, and Lithuania in three sessions. Here, we present selected evaluation results.

    cite
    @inproceedings{10.1145/3631802.3631851,
    author = {Olari, Viktoriya and Zoppke, Till and Reger, Martin and Samoilova, Evgenia and Kandlhofer, Martin and Dagiene, Valentina and Romeike, Ralf and Lieckfeld, Anna Sarah and Lucke, Ulrike},
    title = {Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education},
    year = {2024},
    isbn = {9798400716539},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3631802.3631851},
    doi = {10.1145/3631802.3631851},
    booktitle = {Proceedings of the 23rd Koli Calling International Conference on Computing Education Research},
    articleno = {47},
    numpages = {2},
    keywords = {action research, artificial intelligence literacy, data literacy, mixed methods, teacher education},
    location = {Koli, Finland},
    series = {Koli Calling '23}
    }
    pdf · doi
  • Sprachmodelle unplugged mit Grimms Märchen

    Till Zoppke, Viktoriya Olari, Ralf Romeike (2023)

    Sprachmodelle unplugged mit Grimms Märchen

    INFOS 2023 - Informatikunterricht zwischen Aktualität und Zeitlosigkeit

    Im Artikel werden didaktischen Überlegungen zum Unterrichtsmaterial "Grimms neue Märchen" vorgestellt.

    cite
    @misc{misc,
    author = "Olari, Viktoriya and Zoppke, Till and Romeike, Ralf",
    title = "Sprachmodelle unplugged mit Grimms Märchen",
    year = 2023,
    editor = "Hellmig, Lutz and Hennecke, Martin",
    doi = "10.18420/infos2023-054",
    howpublished = "INFOS 2023 - Informatikunterricht zwischen Aktualität und Zeitlosigkeit",
    publisher = "Gesellschaft für Informatik e.V.",
    address = "Bonn",
    pissn = "1617-5468",
    isbn = "978-3-88579-730-2",
    pages = "431--432"
    }
    pdf · doi
  • Introduction to Machine Learning with Robots and Playful Learning

    Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide (2021)

    Introduction to Machine Learning with Robots and Playful Learning

    AAAI Conference on Artificial Intelligence

    We report about the study to introduce supervised, unsupervised, and reinforcement learning using a block-based programming language in combination with educational robotics.

    cite
    @inproceedings{10.1609/aaai.v35i17.17841,
    	title = Introduction to Machine Learning with Robots and Playful Learning,
    	volume = {35},
    	number = {17},
    	urldate = {2021-07-04},
    	journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
    	author = {Olari, Viktoriya and Cvejoski, Kostadin and Eide, Øyvind},
    	year = {2021},
    	note = {Section: EAAI Symposium: Full Papers},
    	doi = {https://doi.org/10.1609/aaai.v35i17.17841},
    pages = {15630--15639}
    	}
    pdf · doi

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