This index organises content across the site by subject matter, helping you find resources relevant to specific domains of academic practice and digital innovation.
1 min read
This index organises content across the site by subject matter, helping you find resources relevant to specific domains of academic practice and digital innovation.
As AI makes creation and curation trivially easy, evaluative judgement about what should exist becomes the primary human contribution.
A framework for embedding AI literacy development into existing modules and courses, enabling students to develop AI capability while learning disciplinary content.
A template classroom policy for generative AI use that educators can adapt for their own modules and courses.
AI literacy is a multidimensional capability spanning recognition, critical evaluation, functional application, creation, ethical awareness, and contextual judgement—not reducible to any single dimension.
A technique that combines knowledge graphs with retrieval-augmented generation for structured reasoning
AI reasoning capability that draws conclusions by traversing multiple connected concepts
Rich Sutton's 'Bitter Lesson' applies to education: AI reveals that artifact-based assessment never truly measured learning.
Strategic planning and development for academic careers
Systematic approaches to handling academic correspondence effectively
Organizing research materials, references, and resources systematically
A six-dimension framework that underlies all forms of literacy—information, media, digital, data, and AI literacy share the same structural pattern.
A system-level discipline focused on building dynamic, state-aware information ecosystems for AI agents
A structured representation of knowledge using entities connected by explicit, typed relationships
Rather than cataloguing AI's failures, demonstrate thoughtful use, critique from practice, and amplify what matters to you.
AI meeting scribes have automated the control of organisational memory, making existing power dynamics more powerful and less visible.
As AI makes creation and curation trivially easy, evaluative judgement about what should exist becomes the primary human contribution.
Audio scholarship—podcasts, dialogues, oral histories—deserves recognition as legitimate scholarly work. The format matters less than the quality of thinking.
The peer-reviewed article dominates academia, but essays deserve recognition as scholarship—enabling exploration and synthesis that formal research cannot.
A multidimensional framework for scholarship spanning discovery, integration, application, and teaching.
Large language models are deep learning models with billions of parameters, trained on vast text corpora using self-supervised learning, capable of general-purpose language tasks.