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AI and learning

Generated view: 18 sources whose Kunskapsbank note was filed under this theme, and the claims and candidates they link to.

Claims

C2 alive

When learners use an AI tool that hands them finished answers or solutions while they practise, their scores on the practice work go up, but what they have learned is lower when it is later measured without the tool.

Serves: Q2 (How do we achieve optimal learning when AI and screens are everywhere?)
Ages: grundskola-hog, gymnasium, vuxen-livslangt (evidence: upper-secondary maths in Turkey, grades 7–12 in one Chinese county, England Year 10 reading, university lab, HE RCT with delayed closed-book, and HE introductory programming); not yet shown for younger pupils or in Swedish classrooms

Bounds: Evidence in the bank: Bastani et al. 2024/2025 (upper-secondary maths RCT, Turkey: answer-giving GPT Base +48 % correct answers during practice, −17 % on the closed-book exam compared with pupils who never had GenAI; kill-condition test survived 2026-09-27); Strömberg, Lei & Wu 2026 (secondary-school DiD in one Chinese county, conference paper, results may be revised: homework scores +18 %, monthly closed-book tests −20 % within six months, entrance exams −18 to −24 % with the full penalty visible after about two years); Fan et al. 2025 (university lab, second-language essay: ChatGPT raised essay scores but not knowledge gain or transfer); Barcaui 2025 (HE RCT, Brazil: unrestricted ChatGPT as study aid → lower surprise retention at 45 days vs traditional study, d = 0.68; effect held after controlling for study time; kill-condition test survived 2026-09-27). Kreijkes et al. 2026 (England Year 10 RCT: LLM-only study of informational text → lower 3-day literal retention d=0.44, comprehension d=0.38, free recall d=0.21 vs note-taking; kill-condition test survived 2026-09-29). Bergh et al. 2026 (HE CS experiment, arXiv: ChatGPT during coding → higher task scores but lower immediate and 48 h recall without the tool, g≈0.71–0.77; kill-condition test survived 2026-09-29). The loss is concentrated in "homework outsourcing" use (about 80 % of AI users in Strömberg et al.); users who keep study time similar to non-users show small losses. The claim is about learning measured without the tool; performance with the tool goes up. Positive pooled effects in ChatGPT/chatbot meta-analyses (Deng et al. 2025, Doo & Park 2026, Wu & Yu 2024, Fan et al. 2026) are recorded as challenges, because the bank notes that most of their outcomes were not measured without the tool.

Attack record: 4 attacks: 4 survived · Evidence links: 12 linked sources (7 supports, 3 limits, 4 challenges)

14 link(s) from sources in this view.

Candidates (not approved)

Sources

SourceTierLinks
AI-001 · OECD Digital Education Outlook 2026: Exploring Effective Uses of Generative AI in Education (2026)myndighetC2 supports
AI-002 · Exploring the effect of GenAI on learning outcomes in higher education: a three-level meta-analysis (2026 (publicerad 15 maj 2026))metaC2 challenges, K19 supports
AI-003 · Generative AI without guardrails can harm learning: Evidence from high school mathematics (2024 (SSRN preprint); PNAS 2025 (publicerad 2025-06-25))RCTC2 limits, C2 supports, K15 supports
AI-004 · A Meta-Analysis of ChatGPT’s Influence on Learning Achievement (2026 (IRRODL Vol. 27, No. 1, februari 2026))metaC2 challenges, K17 supports
AI-005 · Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies (2025 (online Dec 2024))metaC2 challenges, K16 supports
AI-006 · ChatGPT for good? On opportunities and challenges of large language models for education (2023)positionK21 supports
AI-007 · Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis (2024 (online 2023))metaC2 challenges, K30 supports
AI-008 · Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance (2025 (online Dec 2024))RCTC2 supports
AI-009 · The Generative AI Learning Penalty: Evidence from Chinese Secondary Education (2026 (CEPR DP21577 / NBER conference paper, juni 2026))quasi/DiDC2 limits, C2 supports
AI-010 · ChatGPT as a cognitive crutch: Evidence from a randomized controlled trial on knowledge retention (2025)RCTC2 supports
AI-010 · Artificiell intelligens i undervisningen — En lägesbild över gymnasielärares användning och hantering av AI under vårterminen 2024 (2024 (publicerad 2024-08-21))myndighetunlinked
AI-011 · The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems (2011)metaK28 supports
AI-012 · Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review (2016)metaK22 supports
AI-013 · Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis (2014)metaK23 supports
AI-014 · Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment (2026)RCTC2 limits, K25 supports
AI-015 · One Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment (2026)RCTK26 supports
AI-016 · Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools (2026)RCTC2 supports
AI-017 · Your Programming Students' Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership (2026)RCTC2 supports
Former theme summary (Swedish, from the Kunskapsbank archive)

Tema: AI och lärande

Djupdykning 1 (AI-001–004) + C (AI-005–010) + gap ITS/GenAI-K12 (AI-011–015) 2026-09-07. Fokus: GenAI, designad ITS, K–12 closed-book, cognitive offloading.

Synteser i denna mapp

Tvärgående slutsats (uppdaterad)

  1. Meta g ≈ 0,5–0,7 under experimentella villkor (Fan 2026; Doo & Park; Deng) — men prestation ≠ lärande.
  2. Closed-book efter GenAI: skada i RCT (Bastani −17 %) och storskalig K–12 DiD (Strömberg läxa +18 % / prov −20 %).
  3. Mekanism: crutch / homework outsourcing / metacognitive laziness (Bastani; Strömberg; Fan 2025).
  4. Tutoring med guardrails mildrar skada (Bastani) och kan ge modest delayed vinst vs CAL när mastery+no-answer (NUMI AI-014); Khanmigo (AI-015) begränsas av engagemang. Pre-GenAI ITS (AI-011–013) är steelman för designad digital tutor.
  5. Svensk praktik (Skolverket AI-010): lärare anpassar redan bedömning; efterfrågar fortbildning — policy bör styra mot skyddad productive struggle (Kasneci).

Se 04-riktning/UTKAST.md.