Creator(s) (alphabetical)
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
Technology tools to help support Team-based learning (TBL)
An thorough overview, with weblinks, to technology tools which can support team-based learning (TBL). Information is provided around each technology tool, such as a description, what it can be used for as well as any license/fee requirements.
Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
This work is licensed under a CC BY-NC-SA license, allowing sharing and adaptation for non-commercial use with proper attribution, provided derivative works use the same license.
https://creativecommons.org/licenses/by-nc-sa/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
Following this link opens a new browser tab and sends you to an external website outside of the National Resource Hub
[shortify_qr]
