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Deep learning–based knowledge tracing, 2015–2025: derived bibliometric and taxonomy tables (Scientometrics submission)

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1Pays d’affiliation déclarés

Rattachement africain : vn. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Derived analysis tables for a locked Scopus-core corpus of deep learning–based knowledge tracing (DLKT) publications, 2015–2025 (N = 926; eligibility identity 1287 = 926 + 361 + 0). This deposit supports a Scientometrics manuscript on residual-aware science mapping: TITLE-ABS-KW taxonomy codes, bibliometric aggregates, exploratory association-strength networks, a stratified full-text residual audit (A3), and inter-rater reliability (IRR) on designated dual-coder overlap samples. **Version 4.1.4 increment (2026-08-22).** Adds full reproducibility for Supplementary Information per-label Cohen's κ tables on the multi-label `architecture_families` and `secondary_mechanisms` axes: - `irr_overlap/irr_overlap_n40_human_dual_labels_pre_adjudication.csv` — complete n = 40 pre-adjudication dual labels on the A2-NEW-145 human-only overlap (seed 20260813; v4.1.3 deposited agreement summaries and disagreements only).- `irr_overlap/per_label_kappa_architecture_families.csv` and `per_label_kappa_secondary_mechanisms.csv` — derived per-label reliability outputs.- `analysis_scripts/compute_per_label_kappa.py` — regeneration script (bootstrap B = 2000, seed 20260728; not estimable when n_pos < 3).- `analysis_scripts/build_n40_dual_labels.py` — optional utility to rebuild the n = 40 dual file from project coder returns. All v4.1.3 content is unchanged, including record-level N = 926 taxonomy codes, genuine VOSviewer 1.6.20 science-mapping export files, A3 Horvitz–Thompson / Hájek reindex on the current UNCERTAIN residual (N_U = 335), association-strength network tables, and the A1 step-2 blind NL2 re-coding package (seed 20260817; n = 60). **Package contents (full zip).** - Record-level TITLE-ABS-KW taxonomy codes and frequency / cross-tab tables (`l2_taxonomy/`).- De-identified pre-adjudication dual-coder labels: n = 94 overlap on the prior NL2 production subset; n = 40 human-only overlap on newly eligible records (`irr_overlap/`).- A3 residual-validation consensus and sensitivity tables; current-residual reindex (`a3_residual_validation/`, `review_reindex_n335/`).- Keyword thesaurus, network node/edge lists, parameter manifests, and VOSviewer map/network files (`networks/`, `science_mapping/`).- Research-agenda matrix, RQ3 pilot aggregates, classical bibliometric tables, and analysis-script pointers (`analysis_scripts/`). **Not included:** licensed Scopus raw exports, copyrighted full-text PDFs, or coder working sheets beyond the de-identified dual-label files above. **Claim boundaries:** TITLE-ABS-KW codes are not a full-text census of N = 926; A3 is a stratified audit (n = 194 AVAILABLE of 200 drawn), reindexed rather than redrawn; network layers are associative diagnostics only. **Versioning:** cite this version DOI for v4.1.4. Concept / all-versions DOI: 10.5281/zenodo.21635880. Prior version: v4.1.3 (10.5281/zenodo.21986524).

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Le contrôle bibliographique ouvert

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Où se fait cette recherche

  • Hung Yen University of Technology and Education pays non établi dans la notice
    Université ou école supérieure
  • VNU University of Science pays non établi dans la notice
    Université ou école supérieure
  • AIRCAAI / ITI VNU Hanoi pays non établi dans la notice
    Institution

Hung Yen University of Technology and Education, VNU University of Science et AIRCAAI / ITI VNU Hanoi.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.