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This open licensed course/book has 12 chapters that have been developed to help transition to teaching online.
In the words of the authors “This course is an attempt to re-frame the idea of what it means to start teaching online. It will not give you a step by step process to create a syllabus or tell you what buttons to press. The intent of this course is to present you with online learning as a conceptual challenge. These 12 chapters are meant to help transition to teaching online. It is based on our first seven weeks of working with faculty in an intensive synchronous/asynchronous course at the University of Windsor in Canada. Our advice is that you choose one topic a day, watch the short (2-3 min) video, and do the suggested action. Find a friend. Work together.”
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 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.
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
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