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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.