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RT4 · Research theme

Digitalization & datafication of education

Educational research meets AI: modelling and evaluating curricula, with a focus on Modern Greek as a first language.

Explore the research ↓Publications ↗
The School, Giovanni Domenico Tiepolo, 1791; historical image of education
The School (1791): teaching as a subject of historical inquiry.

What can AI reveal about a curriculum?

Explore a comparison matrix

Compare wording, then interpret

Try a transparent lexical comparison of three short objectives. These editable examples are invented, not extracts from the Greek curriculum.

How to read the comparison

Jaccard similarity: J(A,B) = |A ∩ B| / |A ∪ B|. Each set contains distinct lowercase words. Scores run from 0 to 1; they compare shared wording, not educational quality or meaning. Empty texts produce no score.

RT4 investigates educational ontologies and curriculum evaluation. This small lexical demonstration explains why computational measurements need educational interpretation; it does not implement the doctoral methodology.

Research scope
  • Evaluate the contribution of AI to educational research.
  • Model and evaluate curricula, starting with first-language education.
Doctoral research

AI and curriculum evaluation

Evangelos Katis

Educational ontologies for examining quality criteria in the Greek 2022 curriculum for Modern Greek as L1 in primary and secondary education.

Full project description →
People behind the research

Eleni Katsarou

Leader

Christophe Roche

Co-supervisor

Haridimos Kondylakis

Co-supervisor

Rafail Giannadakis

Research Assistant

Tonia Lourentzaki

Research Assistant

Evangelos Katis

PhD Candidate