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This resource was developed from the SATLE 2018 initiative: Developing All Learners Through Analytics Initiative (DALTAÍ)
This chapter is a step by step guide to creating visualisations in Tableau that can provide insights into student behaviour on a tech tool. The chapter focuses on visualising data from an activity log. Many tech tools generate a log of every activity taken by users of the tool. This log typically records the date and time of the activity; who did it; and what the activity was (e.g. view a post; submit an assessment etc.).
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.
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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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