Advancing AI-Driven, Ethical and Labour Market-Aligned Personalised Learning Content

 The project “Advancing AI-Driven, Ethical and Labour Market-Aligned Personalised Learning Content” (AI4EDULAB) supports the programme’s overarching goals by promoting individualised learning, teaching, and assessment through AI technologies, including tools previously developed and tested by the team, such as Knowledge Acquisition Monitoring (KAM). AI4EDULAB is designed with a focus on transparency, human-centred principles, and the use of AI to enhance automation while preserving pedagogical rigour and human agency. The project will strengthen academic integrity and provide policy recommendations to the Ministry of Education and Science. Building on nationally recognised research from EDUAIM (knowledge acquisition monitoring) and the Horizon Europe TED4LAT project (dynamic modelling, systematic review), AI4EDULAB develops next-generation tools for adaptive course design. These include automated NLP-based labour market analysis integrated with data from the EU Labour Force Survey (EU-LFS), Cedefop’s Skills Anticipation Reports, EURES Labour Market Information, and OECD reports, along with skill tagging aligned with ESCO and EQF education frameworks, and AI-powered gap detection. It further advances personalised learning through generative AI for Bloom’s taxonomy-based assessments and adaptive remediation. Newly developed or upgraded learning content will be made available in a prototype repository and piloted within university settings. The AI4EDULAB project is also strongly considering contributing to the Education Development Guidelines 2021-2027 "Future skills for future society" describing the future vision of Latvian education in 2027 and emphasising an individualised approach. It offers personalised solutions tailored to individual needs and abilities, tracks growth progress, enables self-directed learning and development planning, and leverages technology for customised support. As part of AI4EDULAB, a systematic review (carried out in WP4 task T4.6) will be conducted to investigate and analyse the current state-of-the-art in the development and application of Artificial Intelligence and related technologies in education aimed at publishing in Q1 or Q2 papers in journal. This review will follow established methodological standards to ensure comprehensive, replicable, and unbiased synthesis of existing evidence, serving as a foundation for the project’s technological and pedagogical innovations. The AI4EDULAB learning platform prototype will be built on the open-source Moodle system and offered free of charge to students and teachers, promoting the uptake of digital learning and enhancing teaching and learning outcomes. The development of project specific Moodle plug-ins will also be identified and specified during know-how exchange with the Moodle's leading developers. In response to the growing risks AI poses to academic integrity, the project will benchmark existing academic frameworks across Latvia and the EU and develop practical guidelines for the ethical use of AI-generated learning materials.