Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites desire Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

What do we mean when we talk about a scaffold for learning?

What do we mean when we talk about a scaffold for learning? I really like this definition offered Thomas Corbin & Jack Walton in this paper. From pg 1663:

a tool, practice, or other agent who assists the primary agent in performing a task themselves (for example, an adult caregiver who helps a child to read a sentence or complete an equation by providing prompts and positive feedback without doing the work for them). (Corbin et al., 2025. See also, Lodge et al., 2023; Wass et al., 2011)

The problem with AI summarisers (the topic of the paper), as well AI tools more broadly, is that they are not designed to be scaffolds. As the authors describe it later in the same page a scaffold is designed to be dispensed with:

A scaffold, in the more common sense of the word, is a structure workers use to con- struct a building. Importantly, once the building is complete, it is then removed at the end of the process. It helps support construction, but once construction ends so does its role. The metaphor works in an educational context because the scaffold is removed once a student grasps the requisite information or skill. A child’s reading is scaffolded if their reading of a sentence is aided by an adult, but the intended goal of that assistance is that it will be removed as the child’s grasp of language improves. An adult caregiver, or to extend the metaphor, a higher education teacher, is motivated to remove their scaffolded assistance as the student’s capabilities improve.

A subscription based service by definition isn’t designed to be dispensed with. While enterprise services short circuit their logic, Copilot 365 is explicitly intended to enable existing capabilities to be outsourced. This is the design philosophy upon which the promise of productivity gains is inevitably founded. Can it be used as a scaffold? What are the teaching and learning practices we need to surround it to make it possible to operate as a scaffold?

To the extent there’s an answer to this question, it presumably has to be task-sensitive. So the student might dispense with Copilot for a task while retaining the use of Copilot more broadly. The teacher then plays a role, I imagine, in supporting this transition which is easier when the tool is centrally provided so it’s part of the shared learning environment rather than the student’s individual subscription.

Fediverse Reactions