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Good practice Imported

ChatGPT for Curriculum Drafting — Lithuanian VET Centres Pilot AI in Standards Documentation

Lithuania · Vilnius · See the Lithuania profile · See the Vilnius profile

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Since 2023, Lithuanian vocational centres have used ChatGPT to draft IT curricula, structure content and prepare task descriptions. An OECD 2026 case study finds adoption is individual and informal, with no institutional strategy, training or shared AI platform yet in place.

ChatGPT for Curriculum Drafting — Lithuanian VET Centres Pilot AI in Standards Documentation

Details

Promoter
Vilnius Technology and Engineering Training Centre; Karalius Mindaugas VET Centre; Qualifications and VET Development Centre (KPMPC)
Period
2023–2025
Keywords
vocational education, curriculum development, public administration

Description

Lithuania's vocational education and training (VET) system is co-ordinated centrally by the Qualifications and VET Development Centre (KPMPC) under the Ministry of Education, Science and Sport, with curricula built from government-approved professional qualification standards.
Within that centralised system, individual providers have begun experimenting with generative AI on their own initiative. Since 2023, staff at the Vilnius Technology and Engineering Training Centre have used ChatGPT to update IT training programmes: formulating topics, structuring content, generating task descriptions and assisting with data analysis. At Karalius Mindaugas VET Centre, use is described as early-stage and individual — some teachers use AI for gathering information, preparing presentations and drafting theoretical explanations, with no institutional strategy or systematic training yet, though the centre is planning more comprehensive teacher training.
An OECD interview-based case study (2026) documents these examples but stresses that AI use across Lithuanian VET remains individual, uneven across institutions and regions, and constrained by limited formal training, absent institutional support and the lack of shared platforms. Stakeholders interviewed were unanimous that AI must not replace expert judgement, and some noted cultural reluctance to openly disclose AI use. Experienced staff caution that AI-generated content requires critical review, since outputs are not always accurate or contextually appropriate.

Read the full analysis: https://techin.lt/

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