Research library
Retention
Area: definition. Apply the shared measurement protocol.
Estimated progress toward AI-managed education
10% complete — judgment-based estimate as of November 7, 2026. Confidence: low. The scale starts at 0% before ChatGPT's public release in 2022 and ends at 100% when AI manages the field's continuing advancement without human participation. This rates the outcome's contribution to that transition, not the percentage of tasks solved, a measured fraction of the field, or time remaining.
The shared scoring rubric uses five equally weighted dimensions: execution, breadth, agenda-setting, validation, and sustained autonomous improvement. Points for this outcome are 5 + 5 + 0 + 0 + 0 = 10/100, in that order; each dimension has a maximum of 20. These component judgments make the estimate inspectable, but are not independently measured scores.
Reason for the estimate: Tutoring and unaided assessment are demonstrated, but the specified 30- and 90-day retention evidence is absent; sustained autonomous instructional improvement receives no credit. The dated baseline below supplies the findings and source links used for this assessment. Unmeasured components receive no demonstrated-progress credit; missing evidence does not prove a missing capability.
What would move the score: Administer new equivalent unaided assessments at 30 and 90 days; report attrition, prior attainment and uncertainty for all randomized learners. Higher autonomy scores additionally require AI to select worthwhile work, validate results and improve the process over repeated cycles without human research management, repair or adjudication. Lower the score if replication fails, quality regresses or previously hidden human assistance is found. Preserve this dated estimate when adding future assessments.
Measurement and acceptance rule
Performance on new equivalent assessments after 30 and 90 days, completed without AI assistance.
Evidence requirements
Use randomized or otherwise well-controlled comparisons against competent instruction. Separate assessment creation from tutor design, prevent answer leakage, and test students without the tool. Measure dropout and intention-to-treat outcomes, not just outcomes among enthusiastic completers. Track incorrect instruction and dependence on assistance. Student satisfaction and fluent homework are not substitutes for demonstrated learning.
Related milestones
See the area's proposed milestones. Proposed targets are distinct from the dated evidence below.
Baseline as of November 7 2026
Status: Immediate unaided assessment; required delayed baseline unknown. Sources accessed November 7, 2026. This is a documentary baseline, not an independent replication or an assertion of the worldwide best result. An unknown measurement is not zero.
Dated findings
2025 publication: The experiment distinguishes assisted practice from later unaided examination performance. Generative AI without guardrails can harm learning, PNAS.
Interpretation and tracking value
Its exam result must not be relabeled as a 30-day or 90-day retention estimate. This review does not establish the required paired delayed measures.
Next comparable measurement
Administer new equivalent unaided assessments at 30 and 90 days; report attrition, prior attainment and uncertainty for all randomized learners. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.