Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis
Added to the Kunskapsbank on 2026-09-07 but not on the old published site.
Across ages AI and learning Foundations of optimal learning
Links to claims
Supports (1)
| Claim | Basis |
|---|---|
| K23 (candidate) | Note carries the bank kill sentence behind K23 (group K23); no change in review |
Review state: first-pass draft, pending human review.
Source note (Swedish, verbatim from the Kunskapsbank)
Syntes: Ma et al. (2014) — ITS learning outcomes meta (AI-013)
Källa: Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901–918. https://doi.org/10.1037/a0037123
Original: 01-originaldokument/ma-etal-2014-its-meta/ (full PDF)
ID: AI-013
Tier: meta
Closed-book follow-up: achievement utan ITS under bedömning (typiskt)
HE vs K–12: övergripande (alla nivåer)
Evidensstyrka: hög (107 ES; N≈14k); random-effects g≈0,41.
Metadata
- ID:
AI-013 - Tier: meta
- N / design: meta-analys (107 effect sizes; N=14 321)
- Population: övergripande
- Closed-book follow-up: ja i meningen achievement utan ITS under test (jämförelse vs BAU/CBI/text); ej GenAI
- HE vs K–12: övergripande (alla nivåer; g likartade)
- Subject: Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis
Finding (+ comparator)
ITS vs large-group human g≈0,42; vs non-ITS CBI g≈0,57; vs textbook/workbook g≈0,35. Vs individual human tutoring g≈−0,11 (ns); vs small-group g≈0,05 (ns). Positiv effekt oavsett om ITS är principal, supplement, integral eller homework.
Mechanism
Multidimensionell student modeling → individanpassad uppgiftsval, feedback och scaffolding utöver vanlig CBI. Förklarar varför “designad digital” kan slå BAU utan att motivera laissez-faire GenAI.
Limits
Heterogenitet hög; rapporteringskvalitet ojämn; publication-bias-tester dämpar men eliminerar inte oro; pre-GenAI.
This claim dies if …
Ny comprehensive meta (post-2020, inkl. GenAI-as-ITS-claim) visar ITS ≤ non-ITS CBI på standardiserade K–12-mått när båda har samma content coverage.
Swedish implication
Stop citera 1:1-nolleffekt (DIG) som ban på alla digitala tutor-former; start skilj ITS/guardrailed tutor från chatbot-facit; measure ITS-piloter mot NP/merit och mot likvärdig CBI utan modell.
Links
- Relaterade: AI-011, AI-012, AI-014, AI-003, MOTARGUMENT §1
- DOI: https://doi.org/10.1037/a0037123
Metadata as recorded
- ID
- AI-013
- Tier
- meta
- Closed-book follow-up
- ja i meningen achievement utan ITS under test (jämförelse vs BAU/CBI/text); ej GenAI
- HE vs K–12
- övergripande (alla nivåer; g likartade)
- Titel
- Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis
- Författare
- Ma, W.; Adesope, O. O.; Nesbit, J. C.; Liu, Q.
- År
- 2014
- Källa/DOI
- Journal of Educational Psychology, 106(4), 901–918. https://doi.org/10.1037/a0037123
- URL
- https://doi.org/10.1037/a0037123
- Typ
- meta-analys (107 effect sizes; N=14 321)
- Åldersgrupp
- övergripande
- Teman
- ai-och-larande; optimalt-larande-grunder
- Sparade fil
- Ma-etal-2014-ITS-meta.pdf (OA-kopia); ABSTRACT.md
- Hämtad
- 2026-09-07
- Paywall
- APA kan kräva; OA-PDF sparad
- Obs
- g≈0,41 overall; vs large-group 0,42; vs non-ITS CBI 0,57; vs textbook 0,35; ≈ human tutoring (g≈−0,11 ns).
Original files held in the project (not published): ABSTRACT.md, Ma-etal-2014-ITS-meta.pdf