By Manzalab ©
What are LLMs?
This is a first introduction to Natural Language Processing (NLP) and Large Language Models (LLM) with a recap on their recent history. It is the starting point of the literature review on AI technology that will be conducted during the project.
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Review of the status of research in AI and education
Deliverable 2.1 aims to report on the results of the literature review conducted about the scientific state of the art on AI use in educational scenarios.
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Analysis and comparison of existing AI technology
Deliverable 2.2 conducts an analysis and comparison of the existing studies, technologies and solutions concerning Large Language Models (LLM).
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Research Plan
Deliverable 5.1 presents the evaluation strategy, methodology, and use case selected to assess the pedagogical impact and user experience of the ROLEPL-AI simulation tool.
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Recommendations for use of AI in education and ALTAI self-assessment
Deliverable 2.3 presents a detailed set of recommendations for the application of Artificial Intelligence (AI) in the field of education.
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Erasmus Days Events
Deliverable 5.6 presents a comprehensive account of the activities, outcomes, and feedback gathered during Erasmus Days 2024, providing a deeper understanding of the project’s progress.
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Results Analyses
Deliverable 5.3 presents a comprehensive analysis of the experimentation pilots conducted throughout the project, to support the development and evaluation of the ROLEPL-AI platform.
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Training Day & Final Multiplier Event
Deliverable 5.7 presents a detailed overview of the Training Day and Final Multiplier Event in Dresden, highlighting the programme, demonstrations, and feedback that illustrate the project’s final outcomes and sustainability.
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Pedagogical content for AI and evaluation
Deliverable 3.2 presents a structured set of pedagogical and situational content created to train the ROLEPL-AI simulation. It includes company profiles, personas, and conflict scenarios developed and evaluated by the partner schools.
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Pilots 1 and 2 organization
Deliverable 5.2 provides an overview of the two experimentation pilots carried out with the ROLEPL-AI simulation tool. Conducted in late 2024 and mid-2025, these testing sessions generated structured feedback.
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Requirements for transfer and implementation
Deliverable 5.4 presents the transfer concept developed within ROLEPL-AI, outlining how the simulation tool, pedagogical content, and experimentation outcomes can be adapted to diverse educational contexts.
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Online Video Campaign
Deliverable 5.5 presents the outcomes of the ROLEPL-AI online video campaign, which successfully raised awareness, engaged stakeholders, and disseminated project insights.
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