Enabler for Educators (E4E): Empowering Lesson Plan Creation with OER and Generative AI

The ENCORE project introduces the Enabler for Educators (E4E), a system designed to support educators in crafting comprehensive lesson plans by combining Open Educational Resources (OER) with Generative AI. The E4E platform allows teachers to efficiently search for and organize relevant educational materials, as well as generate tailored learning activities that align with specific educational objectives.

Through an intuitive interface, E4E enables educators to explore OER resources categorized across various domains — Green, Digital, and Entrepreneurial — using interactive visualizations and advanced search filters. Additionally, the platform incorporates AI-driven tools that assist in defining learning objectives and crafting personalized learning activities, leveraging frameworks such as the Revised Bloom's Taxonomy to ensure cognitive engagement at appropriate levels.

The research focuses on evaluating the E4E’s effectiveness in simplifying lesson planning, promoting the reuse of educational content, and adapting learning experiences to diverse learner needs. The tool is designed as a low-code solution to support a range of educational contexts, enhancing flexibility and allowing educators to curate and modify AI-generated content to best fit their instructional goals.

Digital Twins of Socio-Technical Ecosystems for Societal Transformation

This research explores the development of Digital Twins (DTs) for socio-technical ecosystems to drive positive societal change by modeling complex interactions within systems that integrate both social and technical components. Using a Model-Driven Engineering (MDE) approach, this study addresses the unique challenges of representing human and social factors within digital twins, enabling comprehensive understanding and dynamic adaptation to achieve societal goals.

Central to this vision are two main components: motivational strategies, such as gamification, to encourage active participation, and adaptive monitoring and prediction mechanisms that support ongoing adjustments within the ecosystem. The DTs are designed to provide insights into complex socio-technical processes, facilitating community-driven change through collaborative phases of co-design, co-production, and co-delivery.

The research demonstrates practical applications through case studies in areas like mobility access in rural communities and food waste reduction in urban settings. These examples illustrate how DTs can act as catalysts for sustainable development, empowering stakeholders to make informed, data-driven decisions that enhance resilience and foster long-term community well-being.

Adaptive and Gamified Learning Paths for Software Modeling

This research investigates the PolyGloT framework, which facilitates adaptive, gamified learning paths to enhance comprehension and engagement in software modeling education. By leveraging PolyGloT’s flexibility, this study aims to create personalized learning experiences that adapt to individual student needs, promoting deeper understanding and retention of core modeling concepts. The framework integrates multiple modeling tools and environments, such as PapyrusWeb and WorkAdventure, to offer a unified, immersive learning platform where students can progress through dynamically tailored activities.

The research focuses on assessing the effectiveness of gamification elements—including leaderboards, points, and achievements—in boosting student motivation and engagement. It also explores the role of adaptive learning technologies that personalize task complexity and suggest subsequent activities based on each learner’s progress and preferences. This approach aims to address common challenges in software modeling education by providing an interactive, hands-on learning experience, ultimately bridging the gap between theoretical knowledge and practical application within a cohesive platform.

PromptDeck: A No-Code Platform for Modular Prompt Engineering

This research introduces PromptDeck, a no-code platform designed to facilitate prompt engineering for generative AI, aimed at expanding accessibility to a broader audience beyond developers. By leveraging technologies such as Node.js, Express, MongoDB, and Azure OpenAI services, PromptDeck allows users to design and manage AI workflows with minimal technical knowledge.

Central to this platform is its intuitive frontend, built with React and TypeScript, which empowers users to create, execute, and refine complex AI tasks seamlessly. The system’s extensible plugin system enables additional functionalities, allowing users to tailor the platform to specific needs, thus democratizing access to generative AI.

Through PromptDeck, the technical barriers to AI-driven solutions are significantly reduced, paving the way for innovative applications across diverse domains, fostering creativity, and enabling a wide range of users to harness the power of generative AI.

Gamified Campaigns for Sustainable Urban Mobility

The AIR-BREAK project investigates the role of gamified transportation campaigns in fostering eco-friendly mobility choices among urban populations. By leveraging game-based elements such as points, badges, leaderboards, and community challenges, this research focuses on encouraging long-term behavior changes that reduce CO₂ emissions and promote sustainable travel. The study aims to understand how various gamification elements influence participants' motivation, engagement, and overall satisfaction, as well as how these factors contribute to the adoption of sustainable commuting habits in everyday life.

The research identifies key motivations, including intrinsic interest and extrinsic incentives, that drive participants' choices toward sustainable transportation, such as walking, biking, and public transit. This topic also explores the impact of personalized and competitive elements in gamified systems and how they foster community engagement, ultimately contributing to a collective shift towards green mobility solutions. The findings aim to inform future policy and sustainable urban planning by highlighting the efficacy of gamification in changing transportation behaviors at scale.