Evidence map›Paper›PMID 27720749›Full record

ReviewNeuropsychologia2017

Personalized learning: From neurogenetics of behaviors to designing optimal language training.

Patrick C M Wong, Loan C Vuong, Kevin Liu

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Neuropsychologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04598438 (Music to Enhance Auditory Encoding in Young Children), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 7% of its field
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.

NCT04598438 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Music to Enhance Auditory Encoding in Young Children: A Pilot Study

TypeinterventionalSponsorChinese University of Hong KongRan2021 to 2025Enrolled48ConditionsHealthyArmsMusic behavioral early intervention program, Arts and crafts early enhancement program
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Auditory and Somatosensory Development for Speech in Later Childhood.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  4. Article
  5. Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Science advances · 2020
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Review
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

3 authors at 2 institutions in 2 countries.

Patrick C M WongDept of Linguistics & Modern Languages and Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China. Electronic address: p.wong@cuhk.edu.hk.
Loan C VuongDept of Linguistics & Modern Languages and Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Kevin LiuFeinberg School of Medicine, Northwestern University, USA.
Chinese University of Hong Kong · CNNorthwestern University · US

Funding

Behavioral and Neurologic Factors in Speech LearningR01DC008333 · NIDCD · NORTHWESTERN UNIVERSITY · PI WONG, PATRICK C M · 2008 to 2012
$1.8M
NIDCD NIH HHS R01 DC008333
6 · The paper itself

Abstract

Variability in drug responsivity has prompted the development of Personalized Medicine, which has shown great promise in utilizing genotypic information to develop safer and more effective drug regimens for patients. Similarly, individual variability in learning outcomes has puzzled researchers who seek to create optimal learning environments for students. "Personalized Learning" seeks to identify genetic, neural and behavioral predictors of individual differences in learning and aims to use predictors to help create optimal teaching paradigms. Evidence for Personalized Learning can be observed by connecting research in pharmacogenomics, cognitive genetics and behavioral experiments across domains of learning, which provides a framework for conducting empirical studies from the laboratory to the classroom and holds promise for addressing learning effectiveness in the individual learners. Evidence can also be seen in the subdomain of speech learning, thus providing initial support for the applicability of Personalized Learning to language.

Indexed as

LanguagePrecision MedicineGenetic Association StudiesHumansIndividualityVerbal LearningIndividual differencesLanguage learningNeurogeneticsPersonalized learning

Identifiers

PMID27720749
PMCPMC5380587
OpenAlexW2527991859

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.