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This OER provides teaching and learning material in technologies applied to sustainability and resilience system design solutions, in particular, electronics prototypes involving sensors and actuators.
This resource is primarily for lecturers, course developers, instructional designers, and tutors/demonstrators to help teach electronic circuit and system design, applied to climate change problems. The benefits of the resource are to draw together in this context , giving students basic skills that can be used with sensors to detect environmental variations and actuate mitigation devices. The step-by-step guide will enable educators to develop modules and teaching plans incorporating these themes.
Creative Commons Zero (CC0)
This work has been dedicated to the public domain under a CC0 license, allowing unrestricted use, distribution, and adaptation without attribution.
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Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
This OER presents findings from a comparative study of novice programmers engaging in face-to-face and hybrid pair programming. It explores collaboration patterns, role switching, satisfaction, and challenges, offering evidence-based insights for educators seeking to prepare students for effective teamwork in modern hybrid software development.
This OER explores novice programmers’ experiences of pair programming across face-to-face, hybrid, and remote settings. It provides insights into collaboration, role switching, satisfaction, and challenges, helping educators and students understand how to effectively prepare learners for modern hybrid software development environments.
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.
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