Digitally Enabled Translanguaging for Academic Purposes
Writing Beyond the Monolingual Myth
Explore the Framework ↓Higher education operates on a set of assumptions about writing that no longer reflect reality — and arguably never did.
We assume standard academic English is a neutral medium. In reality, it is a learned prestige register. Academic English is no one's first language. It requires translation and mediation for every writer, not just multilingual students.
The phrase "writing is thinking" conflates the cognitive work of reasoning with the ability to produce polished prestige prose. Producing fluent academic text is evidence of display competence, not necessarily of where or how the thinking occurred.
Generative AI has fundamentally broken the link between who produced the text and who did the thinking. Current institutional responses—like unreliable detection software or "enforcement theatre"—fail to solve this evidentiary crisis.
Before we look at the DETAP model, we need to understand translanguaging.
Translanguaging is not just "code-switching." Code-switching assumes people have entirely separate, distinct languages in their heads (like "English" and "Spanish") and switch between them.
Translanguaging posits that people draw flexibly from a single, integrated linguistic repertoire to make meaning. "Named languages" are social constructs; speakers simply select the best tools from their toolkit to communicate.
Translanguaging applies to every academic writer. Moving from informal thought or messy notes into formal academic prose is an act of translation. All academic writing involves moving from what writers ideate to the language forms institutions recognise as legitimate.
DETAP redefines academic writing as a digitally mediated, repertoire-based, and institutionally situated process of meaning-making. It rests on four core pillars.
A core separation between the cognitive labor of generating ideas (ideation) and the task of shaping them into academic language (expression). Students may have strong reasoning skills even if their command of prestige academic English is limited.
Writing is not a linear, unaided task. It is a continuous, digitally supported loop of meaning-making. Writers move across human and machine support, oral rehearsal, and multiple provisional versions of a text.
New competencies are required: maintaining meaning fidelity when tools alter text, preserving stance and voice, calibrating to genre and audience, and using prompting as specification to direct tools effectively.
Competence is relocated from unaided prose production to the accountable supervision of language transformation. Authorship = Intellectual Ownership (origin and authority of ideas) + Evaluative Control (critical oversight of the transformation).
DETAP outlines an iterative, non-linear process showing how contemporary academic writing is produced and mediated, with permeable boundaries between stages.
Developing questions, claims, and arguments using whatever linguistic and semiotic resources best enable cognition (speech, notes, mixed-language drafting). Meaning-making takes priority over target-register performance.
Selecting, evaluating, integrating, and verifying evidence. Crucially, this includes checking whether AI-suggested sources exist and whether citations actually support the claims attached to them.
Translating ideas into forms suitable for academic communication. This may involve mediation across named languages, registers, or modalities. Digital tools support this, but don't remove the need for human judgement.
Comparing the mediated output against the intended meaning. The writer judges whether it remains faithful to their claim, preserves nuance, and avoids semantic drift or distortion caused by AI tools.
Revising, constraining, reworking, or re-prompting the mediated output so that it better reflects the intended meaning, stance, voice, and rhetorical purpose.
While DETAP provides the theoretical framework for understanding writing as a mediated process, Voice-First Written Assessment (VFWA) is the assessment model designed to put these principles into practice.
VFWA directly implements the Ideation-Expression Distinction by splitting assessment into two stages: an ungraded, observed Stage 1 that captures authentic ideation, and a tool-mediated Stage 2 that assesses evaluative judgement and accountable authorship.
Explore the VFWA Model →The complete theoretical framework is detailed in the journal article.
Writing Beyond the Monolingual Myth in the Postplagiarism Era
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