{
  "id": "AIBD-0039",
  "title": "A physics tutor more than doubled students’ median learning gains",
  "summary": "Harvard students who used PS2 Pal, powered by GPT-4-0613, learned more in less time than students in an active-learning class.",
  "date_observed": "2023-09-01",
  "date_basis": "event",
  "date_precision": "year",
  "benefit_status": "reported",
  "source_collection": null,
  "source_entry": null,
  "account": "In autumn 2023 the course team of Harvard University's Physical Sciences 2 ran a randomized controlled crossover experiment with 194 students. It covered two topics, surface tension and fluid flow. Each student learned one topic in an in-class active-learning session and the other at home with a purpose-built AI tutor. The supplement identifies the tutor as PS2 Pal, built in TeachGPT and powered by GPT-4-0613. Instructors supplied the solutions and teaching prompts. The paper was published in Scientific Reports on 3 June 2025. It reports that “students learn significantly more in less time when using the AI tutor”. Median learning gains were over double those of the class session, with a median of 49 minutes on task, and higher engagement and motivation. The paper places the study in “the Fall 2023 semester” and “the ninth and tenth weeks of the course” without a calendar date. The lessons themselves came later in the term.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "The tutor was built to teach these physics lessons with research-based pedagogy. The learning gain was that purpose.",
  "system": "PS2 Pal, Harvard’s physics tutor built in TeachGPT using GPT-4-0613",
  "model_version": "GPT-4-0613",
  "developer": "Harvard University (Kestin, Miller, Klales, Milbourne, Ponti)",
  "deployer": "Harvard University, Physical Sciences 2",
  "location": "Cambridge, United States",
  "domain": "Education",
  "segment": "Undergraduate physics",
  "benefit_type": "Improved Learning",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": 2,
      "reason": "Students achieved a measurable improvement in immediate post-test scores. The trial did not establish a lasting change in their capabilities."
    },
    {
      "group": "organizational",
      "depth": 2,
      "reason": "The course demonstrated a teaching format with better post-test results. This uses the same trial evidence as the student assessment, not a separate organizational study."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The language model delivered the instruction. The comparison was active learning taught in class. The authors credit the research-based design (prompts, scaffolding) beside the model."
  },
  "evidence": [
    {
      "kind": "peer-reviewed study",
      "citation": "Kestin G, Miller K, Klales A, Milbourne T, Ponti G (2025). AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting. Scientific Reports (PMC12179260).",
      "title": "AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting",
      "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/",
      "date": "2025-06-03",
      "written_by": "makers",
      "quote": "students learn significantly more in less time when using the AI tutor, compared with the in-class active learning"
    }
  ],
  "replication": {
    "produced_by": [
      "Lesson content pre-structured by instructors into the tutor",
      "Prompts enforcing research-based pedagogy rather than answer-giving",
      "Students with access to the tutor at home and a pre/post test design"
    ],
    "must_hold": [
      "The model follows complex pedagogical prompts",
      "Topics are self-contained and short (two lessons tested)"
    ],
    "echoes": [
      {
        "date": "2024-06-01",
        "setting": "Edo State, Nigeria: six-week after-school program (June-July 2024; first day of month used) for first-year senior secondary students in Benin City using Microsoft Copilot (GPT-4); 0.31 SD overall, 0.23 SD in English; World Bank Policy Research Working Paper 11125 (May 2025)",
        "model_version": "GPT-4 via Microsoft Copilot",
        "outcome": "recurred",
        "source": "ERIC record ED676624 https://eric.ed.gov/?q=source:%22World+Bank%22&id=ED676624 (quote: 'a significant improvement of 0.31 standard deviation'); World Bank blog 9 Jan 2025 https://blogs.worldbank.org/en/education/From-chalkboards-to-chatbots-Transforming-learning-in-Nigeria (quote: 'equivalent to nearly two years of typical learning in just six weeks')"
      }
    ]
  },
  "paired_incident": {
    "database": "AI Incident Database",
    "identifier": "793",
    "title": "AllHere's Chatbot 'Ed' Fails and Costs Los Angeles Unified School District $6 Million",
    "url": "https://incidentdatabase.ai/cite/793",
    "severity": null,
    "group": "organizational",
    "basis": "Student-facing AI learning assistant: Harvard's GPT-4 tutor doubled learning gains, while LAUSD's AllHere chatbot “Ed” failed to deliver academic support, costing the district up to $6 million and leaving students without it."
  },
  "headline": "A physics tutor more than doubled students’ median learning gains",
  "metric": "median learning gains over double those of the class session",
  "comparator": {
    "against": "in-class active learning",
    "before": "M = 3.5, N = 174",
    "after": "M = 4.5, N = 142",
    "basis": "measured",
    "quote": "The median learning gains for students, relative to the pre-test baseline (M = 2.75, N = 316), in the AI-tutored group were over double those for students in the in-class active learning group.",
    "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No later development found in the cited source.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": "United States",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Paired with AI Incident Database incident 793 (medium confidence); severity not given by the source.",
      "source": "https://incidentdatabase.ai/cite/793",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Softened the title and summary from “GPT-4-based” to “LLM-based (GPT-4)” and quoted the Methods and Discussion sentences in the account as the paper's only basis for naming GPT-4, corrected the date disclosure to say that the paper places the lessons in the ninth and tenth weeks of the Fall 2023 semester with 1 September used as a placeholder, and dropped “public” from the Nigeria echo setting because neither cited source states it.",
      "source": "Kestin G et al. (2025) Scientific Reports, PMC12179260: https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against from the cited sources.",
      "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/Harvard_University; https://en.wikipedia.org/wiki/Harvard_University",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-25",
      "change": "Identified the AI model, software, configuration, and human controls from the original paper, supplement, or author documentation. Replaced the superseded account of the model’s identity with the supplement’s explicit identification. Added the study methods, measurements, human controls, and depth assessments from the article and supplement.",
      "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/",
      "editor": "AIBD"
    }
  ],
  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The makers' claim",
  "claim_basis": "Sources: the makers' peer-reviewed study. The cited evidence includes no independent source and no finding by a regulator or court.",
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          "answer": "One randomized crossover trial."
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          "answer": "No monetary value was reported."
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          "answer": "Depth 1 would omit the measured learning improvement. Depth 3 would require evidence of a lasting change."
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        },
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          "kind": "curatorial",
          "basis": "AI-assisted review of the original paper, supplement, and authors’ repository. This does not assert that Peter personally performed the review.",
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          "answer": "AIBD, 25 October 2026."
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          "answer": "Depth 2 for students and depth 2 for the course’s teaching capability."
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      },
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          "answer": "The grades describe results observed in the trial."
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          "text": "Students used PS2 Pal through TeachGPT for the study. The supplement includes its teaching prompts. Public access to this particular tutor is not established."
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          "answer": "Students used PS2 Pal through TeachGPT for the study. The supplement includes its teaching prompts. Public access to this particular tutor is not established."
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        },
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          "answer": "A randomized study of two undergraduate physics lessons."
        }
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            ]
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                "proposition": "Learning gains and time spent",
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                "locator": "Results: Learning gains: post-test scores; Time on task; Figures 1–2."
              },
              {
                "proposition": "Model, interface, and instructional prompts",
                "url": "https://media.springernature.com/original/springer-static/esm/art%3A10.1038%2Fs41598-025-97652-6/MediaObjects/41598_2025_97652_MOESM1_ESM.docx",
                "locator": "AI Tutor System and Implementation; Figure S1."
              }
            ],
            "qualifications": [
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                "proposition": "Scope and competing explanations",
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                "locator": "Methods: Study design; Discussion: Context, limitations, and future directions."
              }
            ]
          }
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          "reviewed_on": "2026-10-25"
        },
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        "coverage": "complete",
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          "answer": "The results establish the test scores and time spent. The supplement identifies the model and teaching prompts."
        }
      },
      "claims[].evidence_strength": {
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          "kind": "structured",
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            "occurrence": "The researchers describe their course experiment and publish the study data.",
            "learning_effect": "Randomized crossover comparison with matched lesson content and baseline controls.",
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            "system_identity": "GPT-4-0613 is explicitly named in the supplement.",
            "independence": "The researchers developed the tutor. Peer review does not constitute an independent replication."
          }
        },
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          "reviewed_on": "2026-10-25"
        },
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        "coverage": "complete",
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          "answer": "A peer-reviewed randomized trial by the developers. It supports the teaching format’s effect, without isolating the model’s contribution."
        }
      },
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          "kind": "text",
          "text": "The paper does not report lasting retention or financial returns. Its participant total and post-test counts do not fully reconcile in the text."
        },
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          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
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          "answer": "Later retention and financial returns were not reported."
        }
      },
      "claims[].proposition": {
        "state": "value_present",
        "value": {
          "kind": "text",
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        "provenance": {
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        }
      },
      "cross_border_flows[]": {
        "state": "not_assessed",
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        "coverage": "partial"
      },
      "decisions[].action_outcome": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].grounds": {
        "state": "not_assessed",
        "review_state": "not_assessed",
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        "family": "institutional decisions"
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      "decisions[].institution_task": {
        "state": "not_assessed",
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        "family": "institutional decisions"
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      "decisions[].success_criterion": {
        "state": "not_assessed",
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        "family": "institutional decisions"
      },
      "deployment_stage": {
        "state": "value_present",
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          "kind": "text",
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        },
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          "answer": "A classroom experiment during fall 2023."
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      },
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            "AIBD-0039-source-0001"
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
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      },
      "economics[].costs[]": {
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        },
        "reason": "The sources describe preparation effort without monetary costs.",
        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
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      },
      "economics[].counterfactual": {
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        "review_state": "reviewed",
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        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
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      },
      "economics[].currency_price_basis": {
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        "review_state": "reviewed",
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        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].gross_net": {
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          "kind": "source_review",
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            "AIBD-0039-source-0001"
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].measure_type": {
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          "basis": "Results; Methods: Additional controls; Supplementary Material 1.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
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        "reason": "The article and supplement report learning, time, and preparation effort, but no monetary valuation or financial return.",
        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].period_unit": {
        "state": "not_reported",
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          "kind": "source_review",
          "basis": "Results; Methods: Additional controls; Supplementary Material 1.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
        },
        "reason": "The article and supplement report learning, time, and preparation effort, but no monetary valuation or financial return.",
        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].realization": {
        "state": "not_reported",
        "provenance": {
          "kind": "source_review",
          "basis": "Results; Methods: Additional controls; Supplementary Material 1.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].recipient_payer": {
        "state": "not_reported",
        "provenance": {
          "kind": "source_review",
          "basis": "Results; Methods: Additional controls; Supplementary Material 1.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].return_payback": {
        "state": "not_reported",
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          "kind": "source_review",
          "basis": "Results; Methods: Additional controls; Supplementary Material 1.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
        },
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
        }
      },
      "economics[].valuation_method": {
        "state": "not_reported",
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        "review_state": "reviewed",
        "coverage": "complete",
        "family": "monetary observations",
        "display": {
          "answer": "Not reported."
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      },
      "evaluations[].ai_uplift": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The AI lesson produced higher scores than the classroom lesson. The comparison does not separate the model’s contribution from the videos, prepared solutions, or self-paced format."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study design; Discussion: Designing successful student-AI interactions; Context, limitations, and future directions.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "The AI lesson produced higher scores than the classroom lesson. The comparison does not separate the model’s contribution from the videos, prepared solutions, or self-paced format."
        }
      },
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          "kind": "text",
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        },
        "review_state": "reviewed",
        "coverage": "complete",
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          "answer": "An active-learning class covered the same material with peer discussion and instructor feedback. The pooled pre-test median was 2.75 points."
        }
      },
      "evaluations[].design": {
        "state": "value_present",
        "value": {
          "kind": "text",
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        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study design; Additional controls; Supplementary Table S3.",
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            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "A randomized crossover trial across two lessons. Peer groups of two or three students were assigned together, then switched conditions the following week."
        }
      },
      "evaluations[].effect": {
        "state": "value_present",
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          "kind": "structured",
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              "classroom": 3.5,
              "unit": "points"
            },
            "learning_gain_definition": "Each condition’s median post-test score compared with the pooled pre-test median of 2.75.",
            "reported_gain_comparison": "More than double with AI.",
            "linear_regression_effect": {
              "standard_deviations": 0.63,
              "p_less_than": 1e-08
            },
            "rank_sum_test": {
              "z": -5.6,
              "p_less_than": 1e-08
            },
            "quantile_regression_effect_range": {
              "minimum": 0.73,
              "maximum": 1.3,
              "unit": "standard deviations",
              "interpretation": "Authors’ alternative estimates to address the ceiling effect; not a confidence interval."
            }
          }
        },
        "provenance": {
          "kind": "source_review",
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        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Median post-test scores were 4.5 with AI and 3.5 in class. The adjusted advantage was 0.63 standard deviations."
        }
      },
      "evaluations[].exposure": {
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          "kind": "text",
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        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Each participant was assigned one AI lesson and one classroom lesson in consecutive weeks. The AI lessons took a median of 49 minutes."
        }
      },
      "evaluations[].id": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Harvard PS2 tutoring study, protocol IRB23-0797."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study design. This is the Harvard ethics protocol identifier, not a trial-registry identifier.",
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        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Harvard PS2 tutoring study, protocol IRB23-0797."
        }
      },
      "evaluations[].measurement_method": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Researchers used quizzes before and after each lesson, logged time with the tutor, and asked students about their experience on a five-point scale."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Results: Learning gains: post-test scores; Time on task; AI tutor: students’ perceptions of learning; Supplementary Material 1: Perception of Learning Experience Questions.",
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          "source_refs": [
            "AIBD-0039-source-0001"
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          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Researchers used quizzes before and after each lesson, logged time with the tutor, and asked students about their experience on a five-point scale."
        }
      },
      "evaluations[].metric": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
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              "measure": "Post-test score compared with the pooled pre-test baseline",
              "unit": "points",
              "AI_post_test_median": 4.5,
              "classroom_post_test_median": 3.5,
              "pooled_pre_test_median": 2.75,
              "pooled_pre_test_observations": 316
            },
            "time": {
              "unit": "minutes",
              "AI_median": 49,
              "classroom_assumed_learning_time": 60,
              "AI_proportion_under_60_minutes": 0.7
            },
            "experience": {
              "scale": "Five-point agreement scale",
              "engagement_mean": {
                "AI": 4.1,
                "classroom": 3.6
              },
              "motivation_mean": {
                "AI": 3.4,
                "classroom": 3.1
              },
              "enjoyment_and_growth_mindset": "No statistically significant difference."
            }
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Results: Learning gains: post-test scores; Time on task; AI tutor: students’ perceptions of learning; Supplementary Material 1: Perception of Learning Experience Questions.",
          "record_fields": [],
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            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Post-test scores, time spent learning, and students’ ratings of engagement, motivation, enjoyment, and growth mindset."
        }
      },
      "evaluations[].reproduction_materials": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "supplement_url": "https://media.springernature.com/original/springer-static/esm/art%3A10.1038%2Fs41598-025-97652-6/MediaObjects/41598_2025_97652_MOESM1_ESM.docx",
            "materials": [
              "Assignment persona",
              "An example question-specific prompt and worked solution",
              "Test-validation measures",
              "Study design",
              "Regression coefficients"
            ],
            "dataset_url": "https://github.com/HarvardAItutor/Study-Data-v4",
            "dataset_file": "Harvard_AI_Tutor_Study_Data.dta",
            "repository_commit": "c5bf864c5369fbedd61c248743a89da95dcaa114",
            "inventory_checked_on": "2026-10-25",
            "data_reanalyzed": false,
            "analysis_scripts_in_repository": false
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Data availability; Supplementary Material 1; original repository file inventory, checked on 25 October 2026. No analysis scripts appeared in that inventory.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "The supplement contains teaching prompts and methods. The authors also published a Stata data file on GitHub."
        }
      },
      "evaluations[].setting_sample": {
        "state": "value_present",
        "value": {
          "kind": "structured",
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            "institution": "Harvard University",
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            "term": "fall 2023",
            "course_weeks": [
              9,
              10
            ],
            "enrolled": 233,
            "eligible": 194,
            "allocation_groups": [
              96,
              98
            ],
            "eligibility": [
              "Consent",
              "Participation in both teaching formats",
              "Completion of pre-tests and post-tests"
            ],
            "post_test_observations": {
              "AI": 142,
              "classroom": 174
            },
            "topics": [
              "Surface tension",
              "Fluid flow"
            ]
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study population; Results: Learning gains: post-test scores; Supplementary Table S2A.",
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          "source_refs": [
            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Harvard’s introductory physics course for life-science students. The paper reports 194 eligible students and compares 142 AI post-tests with 174 classroom post-tests.",
          "editor_note": "Methods reports 194 eligible students. Results gives 142 AI post-tests and 174 classroom post-tests. Whether these counts describe the same analysis population is unclear."
        }
      },
      "evaluations[].uncertainty_limitations": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The study covered two lessons at one university. High scores limited the test’s ability to distinguish further gains."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study population; Results: Learning gains: post-test scores and linear regression model; Discussion: Context, limitations, and future directions. The discrepancy is preserved without inventing a reason for it.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "The study covered two lessons at one university. High scores limited the test’s ability to distinguish further gains."
        }
      },
      "external_references[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "paired_incident": {
              "database": "AI Incident Database",
              "identifier": "793",
              "title": "AllHere's Chatbot 'Ed' Fails and Costs Los Angeles Unified School District $6 Million",
              "url": "https://incidentdatabase.ai/cite/793",
              "group": "organizational",
              "basis": "Student-facing AI learning assistant: Harvard's GPT-4 tutor doubled learning gains, while LAUSD's AllHere chatbot “Ed” failed to deliver academic support, costing the district up to $6 million and leaving students without it."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "paired_incident"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "unknown",
              "note": "No later development found in the cited source."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "later"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "human_oversight": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Instructors wrote the worked solutions and tested the prompts before use. Students then worked with the tutor on their own. A separate team member wrote the tests."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Methods: Study design; Additional controls; Supplementary Material 1: AI Tutor System and Implementation.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Instructors wrote the worked solutions and tested the prompts before use. Students then worked with the tutor on their own. A separate team member wrote the tests."
        }
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0039"
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        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "id"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "infrastructure_dependencies[]": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Students needed internet access to use TeachGPT with GPT-4-0613. Instructors supplied videos, questions, and worked solutions."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Discussion: Context, limitations, and future directions; Supplementary Material 1: AI Tutor System and Implementation and Figure S1.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0039-source-0001"
          ],
          "reviewed_on": "2026-10-25"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "Students needed internet access to use TeachGPT with GPT-4-0613. Instructors supplied videos, questions, and worked solutions."
        }
      },
      "outcomes[].beneficiaries": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Students in Harvard’s Physical Sciences 2 course, and the course that provided the lessons."
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            "account": "In autumn 2023 the course team of Harvard University's Physical Sciences 2 ran a randomized controlled crossover experiment with 194 students. It covered two topics, surface tension and fluid flow. Each student learned one topic in an in-class active-learning session and the other at home with a purpose-built AI tutor. The supplement identifies the tutor as PS2 Pal, built in TeachGPT and powered by GPT-4-0613. Instructors supplied the solutions and teaching prompts. The paper was published in Scientific Reports on 3 June 2025. It reports that “students learn significantly more in less time when using the AI tutor”. Median learning gains were over double those of the class session, with a median of 49 minutes on task, and higher engagement and motivation. The paper places the study in “the Fall 2023 semester” and “the ninth and tenth weeks of the course” without a calendar date. The lessons themselves came later in the term."
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          "kind": "text",
          "text": "The tutor conversed directly with students within lessons that instructors had prepared and tested."
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          "basis": "Read the original article and Supplementary Material 1, “AI Tutor System and Implementation,” assignment persona, and Figure S1. The supplement explicitly identifies GPT-4-0613, PS2 Pal, and TeachGPT.com.",
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          "text": "GPT-4 supplied explanations and feedback during physics exercises."
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          "kind": "text",
          "text": "Harvard University developed the tutor. OpenAI supplied GPT-4."
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        "provenance": {
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            "title": "A physics tutor more than doubled students’ median learning gains",
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          "role": "SHA-256 of normalized original case data"
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      "workflow": {
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          "kind": "text",
          "text": "Students completed a quiz, studied with PS2 Pal at home or attended an active-learning class, and took another quiz. They switched formats for the second lesson."
        },
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        },
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        "display": {
          "answer": "Students completed a quiz, studied with PS2 Pal at home or attended an active-learning class, and took another quiz. They switched formats for the second lesson."
        }
      }
    },
    "summary": {
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      "addressed": 91,
      "known": 71,
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      "not_assessed": 9,
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      }
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}
