PWR-199 · Human–AI Complementarity

AI tutoring and adaptive learning

A structured AI tutor can improve immediate learning on selected lessons; that does not prove durable or universal education benefit.

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Revision 7T · Full Tutorial Edition · Release manifest · Methodology · Corrections

One source of teaching truth

Canonical Power learning unit · TLU-PWR-199

The learner attempts a problem first, requests the smallest needed hint, explains the answer in their own words and passes a delayed no-AI transfer check.

Canonical Power page
PWR-199 · AI tutoring and adaptive learning
Full tutorial
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Practical authority
The tutorial teaches a low-risk method that may be practised inside its stated limits.
Current treatment
Full low-stakes tutorial
Research depth
detailed · 5 bound sources
Risk framing
moderate to high governance
Capability self-practice
Permitted inside the tutorial's stated low-risk limits
Pathway membership
G-CUR-021

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Explanation is not permission.

This dossier explains the evidence and its limits. It is not a diagnosis, personal recommendation, assessment, clearance, performance promise or training programme. Actionable teaching appears only when the canonical Power record explicitly authorises it.

Complete bounded explanation

What this power means.

Capability to develop or express ai tutoring and adaptive learning in a declared context without inheriting broader claims.

What the current evidence supports

A structured AI tutor can improve immediate learning on selected lessons; that does not prove durable or universal education benefit.

How to observe or measure it without overclaiming

Predeclared learning outcome, time, delayed unaided retention and unfamiliar transfer versus active human instruction and ordinary chatbot use. This measures the declared configured system and cannot by itself establish broad transfer, unaided ability, safety or legitimacy.

Myth

An AI tutor teaches every subject better than people

Metric

Predeclared learning outcome, time, delayed unaided retention and unfamiliar transfer versus active human instruction and ordinary chatbot use

Boundary

Report person, device/model/interface, task, assistance, failure state and comparator; the metric is not proof of unaided general capability.

Negative and limiting findings

  • Unguided use can bypass thinking, and the positive trial relied on expert prompts, prewritten solutions and only immediate post-tests.
  • No cited evidence supports perfect, universal or consequence-free performance.

Claims this evidence cannot support

  • An AI tutor teaches every subject better than people
  • The tool or robot's output proves an unaided, universal or permanent human superpower
  • A successful laboratory task proves independent real-world or clinical capability

Individual tutorial · FULL SELF GUIDED TUTORIAL

How to learn this Power now.

The learner attempts a problem first, requests the smallest needed hint, explains the answer in their own words and passes a delayed no-AI transfer check.

  1. Get readyUse a checked source, prewritten solution and harmless learning topic.
  2. Learn the method8 concrete steps teach the permitted method from start to finish.
  3. See right and wrong4 comparisons show correct or safer execution beside common wrong or riskier choices.
  4. PractiseUse one 25-minute lesson weekly. Limit each item to four hint rungs, include a same-day teach-back and a 48-hour no-AI test; progress by fading hints only when delayed accuracy remains stable.
  5. Check progressBaseline fixture: A short lesson teaches why seasons change using a prewritten answer key and four unfamiliar diagram questions. The AI has a fixed hint ladder from question to cue to partial step to full explanation. Enter success checks from “Set the learning target” and “Retrieve after the hint”. If “Ask for the final answer immediately.” occurs, apply its named fix; then score Predeclared learning outcome, time, delayed unaided retention and unfamiliar transfer versus active human instruction and ordinary chatbot use on the unused “Retest after 48 hours” item.

Authority boundary: Titan teaches a concrete low-stakes method step by step while keeping evidence and transfer claims bounded. The method is Power-specific; its actionability follows this treatment.

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Related Powers: PWR-193 · PWR-194 · PWR-195 · PWR-196

Direct evidence register

Sources that support—and limit—the claim.

Citation roles are explicit. A source may support existence or trainability while simultaneously limiting transfer, certainty, generalisation or safety.

  1. Limiting / contrary
    Humans inherit artificial intelligence biases

    Lucía Vicente; Helena Matute · 2023 · Primary research

  2. Primary empirical supportLimiting / contrary
    AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting

    Greg Kestin; Kelly Miller; Anna Klales; Timothy Milbourne; Gregorio Ponti · 2025 · Primary research

  3. Limiting / contrary
    Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips

    Betsy Sparrow; Jenny Liu; Daniel M. Wegner · 2011 · Primary research

  4. Limiting / contraryOfficial boundary context
    Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile

    C. Autio; R. Schwartz; J. Dunietz; S. Jain; M. Stanley; E. Tabassi; P. Hall; National Institute of Standards and Technology · 2024 · Official authority

  5. Limiting / contraryOfficial boundary context
    NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0

    National Institute of Standards and Technology · 2020 · Official authority

Current teaching and evidence boundary

The next gate remains visible.

External confirmation is required before higher-authority use because: a clinical, high-risk or regulated configuration.

A Power-specific tutorial is available at /tutorials/pwr-199/. It contains a plain-English method, 8 ordered steps, a worked example, right-versus-wrong comparisons, specific mistakes and corrections, practice, measurement, accessibility, stopping rules and evidence. Its self guided mode remains controlling.