Claims

The DARPA Digital Tutor, an ITS for U.S. Navy information systems technicians, produced the largest effects in the data set (average ES of 1.97 and 3.18 in two summative evaluations)

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3 · i3 large
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i3 In two summative evaluations of the DARPA Digital Tutor against standard Navy classroom courses, average effect sizes were ES = 1.97 and ES = 3.18 standard deviations. → Kulik 2016

Evidence

Kulik 2016

Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review. Review of Educational Research. https://doi.org/10.3102/0034654315581420

q3 · i3 · quant-synthesis · r3

Two summative field evaluations compared end-of-course test scores from Digital Tutor courses (8 and 16 weeks) with longer standard classroom courses, measured on locally developed third-party written and oral tests. The printed effect sizes were ES = 1.97 and ES = 3.18: "Average ES in the first evaluation was 1.97"; both were outliers in the data set.

"Average ES in the first evaluation was 1.97 (Fletcher, 2011); average ES in the second evaluation was 3.18 (Fletcher & Morrison, 2012)."

Discussion

Page metadata
Field Value
type claim
id darpa-digital-tutor-largest-its-effects
title The DARPA Digital Tutor, an ITS for U.S. Navy information systems technicians, produced the largest effects in the data set (average ES of 1.97 and 3.18 in two summative evaluations)
description The DARPA Digital Tutor, an ITS for U.S.
status review
evidence_strength moderate
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-13
trust unverified — no one has confirmed this page's content
sources 1 — kulik-2016

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