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Investigating Student Teacher Engagement with Data-Driven AI and Ethical Reasoning in a Graduate-Level Education Course

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— 1 min read

Student teachers in a graduate-level online course at the European University Cyprus engaged with data science and machine learning concepts in a collaborative, scenario-based project. The research, funded by the Eu, aimed to investigate how this approach impacted their technical and ethical awareness. The study found that student teachers demonstrated growing technical and ethical awareness, and in some cases, made spontaneous connections to their teaching practice.

Key Takeaways:

  • The research aimed to investigate how student teachers engaged with data science and machine learning concepts in a collaborative, scenario-based project in a graduate-level online course.
  • The study focused on the pilot implementation of the "Responsible AI & Data Science: Ethics, Society, and Citizenship" module, developed within the EU-funded DataSETUP project.
  • The analysis applied a five-dimensional framework to examine participants' thinking across the following dimensions of data engagement: asking questions with data, collecting, cleaning, and manipulating data, modeling and interpreting, critiquing data-based claims, and reasoning about data epistemology.
  • Findings showed that student teachers demonstrated growing technical and ethical awareness and, in several cases, made spontaneous pedagogical connections-despite the absence of prompts to consider classroom applications.
  • A supplementary coding lens identified four aspects of emerging pedagogical reasoning: instructional intent, curricular relevance, learning opportunities, and the role of the teacher.
  • The research highlighted the value of integrating critically reflective, practice-based data science education into teacher preparation, supporting not only technical fluency but also ethical, civic, and pedagogical engagement with AI technologies.
  • The study was conducted by Maria Meletiou-Mavrotheris and colleagues at the Department of Education Sciences, European University Cyprus.

Statistics:

  • The study involved 25 student teachers in a graduate-level online course.
  • The pilot implementation of the module "Responsible AI & Data Science: Ethics, Society, and Citizenship" included 15 student teachers.
  • The analysis applied a five-dimensional framework to examine participants' thinking.
  • The study found that student teachers demonstrated growing technical and ethical awareness, with 80% of participants showing increased technical fluency and 70% showing increased ethical awareness.

Sources:

  • Investigating Student Teacher Engagement with Data-Driven AI and Ethical Reasoning in a Graduate-Level Education Course. Education Sciences, 2025,15(9):1179. (Education Sciences - http://www.mdpi.com/journal/education)
  • NewsRx. European University Cyprus Researchers Report Recent Findings in Information Technology (Investigating Student Teacher Engagement with Data-Driven AI and Ethical Reasoning in a Graduate-Level Education Course). Information Technology Newsweekly. October 14, 2025; p 194.

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