Evidence map›Paper›PMID 34489459›Full record

ArticleNPJ science of learning2021

Large-scale randomized experiments reveals that machine learning-based instruction helps people memorize more effectively.

Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez

Abstract read
In one paragraph

Article in NPJ science of learning, 2021. 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

4 authors.

Utkarsh UpadhyayMax Planck Institute for Software Systems, Kaiserslautern, Germany.
Graham LancashireSwift Management AG, Basel, Switzerland.ORCID http://orcid.org/0000-0002-7453-6284
Christoph MoserSwift Management AG, Basel, Switzerland.
Manuel Gomez-RodriguezMax Planck Institute for Software Systems, Kaiserslautern, Germany. manuelgr@mpi-sws.org.ORCID http://orcid.org/0000-0003-3930-1161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We perform a large-scale randomized controlled trial to evaluate the potential of machine learning-based instruction sequencing to improve memorization while allowing the learners the freedom to choose their review times. After controlling for the length and frequency of study, we find that learners for whom a machine learning algorithm determines which questions to include in their study sessions remember the content over ~69% longer. We also find that the sequencing algorithm has an effect on users' engagement.

Identifiers

PMID34489459
PMCPMC8421401

What OpenQuestion holds

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LicenceCC BY
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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.