Evidence map›Paper›PMID 41883752›Full record

ArticleFrontiers in artificial intelligence2026

An experimental evaluation of an AI-powered interactive learning platform.

Courtney Heldreth, Diana Akrong, Laura M Vardoulakis, Nicole E Miller, Yael Haramaty, Lior Belinsky, Lidan Hackmon, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Courtney HeldrethGoogle Research, Seattle, WA, United States.
Diana AkrongGoogle Research, Accra, Ghana.
Laura M VardoulakisGoogle Research, Mountain View, CA, United States.
Nicole E MillerBold Insight, Chicago, IL, United States.
Yael HaramatyGoogle Research, Tel Aviv, Israel.
Lior BelinskyGoogle Research, Tel Aviv, Israel.
Lidan HackmonGoogle Research, Tel Aviv, Israel.
Abraham Ortiz TapiaBold Insight, Chicago, IL, United States.
Lucy TootillBold Insight, Chicago, IL, United States.
Scott SiebertBold Insight, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative AI, which is capable of transforming static content into dynamic learning experiences, holds the potential to revolutionize student engagement in educational contexts. However, questions still remain around whether or not these tools are effective at facilitating student learning. In this research, we test the effectiveness of an AI-powered platform incorporating multiple representations and assessment through

Indexed as

artificial intelligence in educationcontent transformationseducation-active learningpersonalized learningstudent agency

Identifiers

PMID41883752
PMCPMC13008931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.