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The EAT Framework: Considerations for Programme Leaders and their Students
Creative Commons Attribution (CC BY)
This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.
https://creativecommons.org/licenses/by/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.
This OER introduces students to designing and developing AI-powered assistants for agile software development using Flowise (no code). Learners as a team explore Retrieval Augmented Generation (RAG) and agent-based systems, applying AI to real-world agile practices while considering technical design, evaluation, and cost-aware decision-making
This project presents an innovative engineering assessment framework integrating generative AI through a poster portfolio, AI reflection, and oral interview. It supports critical thinking, validation skills, and ethical AI use, and is designed for undergraduate engineering educators and students in project-based learning contexts.
The purpose of this resource is to allow Moodle teachers to quickly create quizzes for Moodle. Users can quickly select between questions types through a single interface and export their questions as an XML file which can be imported into Moodle.
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