BAITHEI Project – Launch of the WP2 Outputs: AI Assessment Report and AI-TRIX Matrix
The BAITHEI Erasmus+ Cooperation Partnership Project proudly announces the release of its two flagship outputs under Work Package 2 (WP2): the Assessment Report on Generative AI Tools in Higher Education and the AI-TRIX Matrix, a structured framework designed to guide educators in adopting artificial intelligence responsibly and effectively across teaching and learning processes. The WP2 Assessment Report, titled Mapping AI Generative Models for Higher Education: Tools for Content Development, Delivery, and Student Assessment, consolidates findings from six partner institutions. It analyses more than 20 leading AI tools evaluating their functions, accessibility, and ethical implications. The report highlights how generative AI can enhance efficiency, inclusion, and engagement in higher education while identifying challenges such as data privacy, algorithmic bias, and unequal access. It concludes with practical recommendations for responsible AI adoption and integration into institutional governance frameworks Building on these insights, the AI-TRIX Matrix provides a practical, open-access reference system that classifies AI tools according to their pedagogical function, content development, content delivery, and student assessment. Each entry offers clear guidance on tool functionality, pedagogical value, access models, and ethical considerations. AI-TRIX helps educators match the right tool to the right task, promoting innovation while safeguarding academic integrity and inclusivity Together, these outputs represent a major milestone in BAITHEI’s mission to equip and empower academic staff to use AI purposefully, responsibly, and meaningfully in curriculum design, teaching, and assessment. Both deliverables are freely available as Open Educational Resources (OER) and can be accessed through the project’s platform. The materials are available on the official project website: https://www.baithei.eu/
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AI Toolkit for Higher Education: BAIT HEI Project Holds Successful 2nd Transnational Meeting in Málaga
Málaga, 18 September 2025 – The second transnational meeting of the BAIT HEI – Boosting AI Training in Higher Education Institutions project took place in Málaga, Spain, on 15–16 September 2025, hosted by Internet Web Solutions. The event brought together representatives from all nine partner countries — Czech Republic, Belgium, Italy, Spain, Slovakia, Germany, Ireland, Finland, and Croatia — to review progress, validate key milestones, and define the next steps for training development. The meeting marked a decisive step forward for the project. The results of Work Package 2 (WP2) were officially approved by all partners, laying the groundwork for the start of Work Package 3 (WP3), which will focus on the development of tailored training content and AI-based learning resources. Roles and responsibilities for the upcoming phase were discussed in detail and assigned collaboratively. As of September 2025, the BAIT HEI project has achieved outstanding visibility: Ranked #1 in Google open search results for the phrase “Artificial Intelligence Toolkit higher education”, out of over 12,300,000 results (as of 10/06/2025). Over 22,481 unique website visits since its launch (updated 11/09/2025). These impressive metrics confirm the growing interest and relevance of the project in the European educational landscape. Another major milestone discussed during the meeting was the completion of the AI-Trix, now fully accessible at: https://www.baithei.eu/ai-trix.php?lang=EN The AI-Trix is an interactive toolkit designed to support higher education institutions in understanding and adopting AI-based solutions. The tools are organised according to the tasks they assist with — including content development, content management, and student assessment — making the platform both practical and user-friendly. About the BAIT HEI Project The BAIT HEI project aims to enhance digital readiness and innovation capacity in higher education institutions by providing accessible, relevant, and high-impact training on Artificial Intelligence (AI). Through a structured mapping of existing AI solutions, stakeholder needs analysis, and resource development, the project supports university staff and students in embracing AI tools responsibly and effectively. Co-funded by the European Union under the Erasmus+ programme, the project is led by a consortium of 8 partners from across Europe, working together to bridge the gap between technology and education through inclusion, innovation, and collaboration. For more information, visit: www.baithei.eu
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BAITHEI Project Launch of Open Education Resource Platform
The BAITHEI Erasmus + Cooperation Partnership Project launch the online Open Education Resource Platform. BAITHEI Platform is the main showcase of project’s results and its largest and most tangible channel for international visibility, and is available in 8 languages (EN-ES-IT-CZ-FI-DE-SK-HR) with all of its content completely available for free, without requiring any kind of registration/identification by the user. Project website is now online at https://www.baithei.eu/ The advent of Artificial Intelligence (AI) is revolutionising how we live, study, work and interact. The real impact of AI in the long term is still unknow, with challenges (data/digital security, adverse impact on jobs) and opportunities. The reality is that AI is already an integral part of the Higher Education Institution (HEI) ecosystem: students use AI for their coursework, analysis and sometimes compositions. Researchers use AI for research and to support their publications. Teachers and professors use AI tools to support the plan and execution of teaching activities. Admin staff use AI models in support of some processes. BAITHEI will develop innovative training and operational tools to equip and empower the academic staff (research and teaching) of HEIs to use purposefully, responsibly and meaningfully AI across the 3 key stages of their work: 1. Curriculum Development: how to use AI to structure courses, curricula, develop Learning Outcomes, Duration of Modules, etc. 2. Teaching: how to use AI for engaging teaching methods, develop assignments (individual/group/research/presentation assignments, etc) 3. Assessment: how to use AI to develop tests, multiple choice quizzes, grading scales depending on LO, and grading essays) • Specific Objective 1 is to contribute to the modernisation of teaching, innovation in teaching methods and techniques in HE • Specific Objective 2 is to address specific challenges faced by educators in HE settings, such as curricula and course development, and timely assessments • Specific Objective 3 is to design of a training suite for educators, leveraging current advancement in machine learning algorithms to design and develop learning content and to assess student performance For the next three years, the Platform will host and integrate all the main achievements of the consortium; each section of the BAITHEI Platform is a stand-alone library of its corresponding output. For further information about BAITHEI project: https://www.baithei.eu/
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