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Data · dataset · 2026

Supplementary data for: What must be learned in advance

Listed in ScienceDB

Contemporary language technologies can produce fluent, register-appropriate text for users who could not compose it themselves.

Description

This bears on a premise that has long organised language pedagogy: that performance evidences competence only insofar as the resources deployed are the learner’s own. We ask how research on technology-mediated language education handles that premise.

Two components were kept separate. A bibliometric mapping of 14,944 Web of Science and Scopus records (2000–2026) describes growth and structure; because cluster structure proved unstable across eight configurations (adjusted Rand index 0.25–0.68), only nine configuration-robust term groupings are reported. A conceptual content analysis of 49 purposively sampled full texts, double-coded on twelve dimensions (mean agreement 0.79; κ 0.66; AC1 0.74), examines what those texts commit themselves to.

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Within this sampled set, the literature is not organised by an assumption that language must be internalised before it may be used: 6 of 42 eligible texts were coded predominantly learn-first, none after 2016. The explicitly stated unaided criterion — assistance withdrawn for the criterion measure, or success defined as unaided output — appears in 5 of 42 texts, all before 2017, and was not observed in any sampled post-2016 text.

What accompanies its absence is not an argued alternative but non-statement: of 15 sampled texts published 2022–2026, 13 do not state whether assistance was available when performance was measured. These proportions are exploratory. We propose Point-of-Need Language Pedagogy, a decision procedure for making conditions of assistance explicit, and specify the validation study needed to establish prevalence.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Curriculum and pedagogy 73% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.4523810 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3901enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (73%)
concepts[field].local:field:computer-science-aimapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:textenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title