Evidence map›Paper›PMID 35602646›Full record

ArticleComputational intelligence and neuroscience2022

Learning Chinese Classical Music with the Aid of Soundscape by Using Intelligent Network.

LiLan Zhang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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.

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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

  • Retraction · 2023-07-19Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/1694E3034215F162A999569634C04C
  • Retracted
5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

LiLan ZhangArt Department, Puyang Vocational & Technical College, Puyang 457000, Henan, China.ORCID https://orcid.org/0000-0001-9169-9897
Puyang Vocational and Technical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A soundscape is a sound environment of the awareness of auditory perception and social or cultural understanding. To improve the subjective initiative of the Chinese classical music students, this study explores new learning modes and methods using soundscape and investigates its learning effect using intelligent music software. To examine the emotional experience of players in playing before and after learning, 50 students from music majors and 50 from non-music majors were selected. Results show that in the positive and negative emotional classical music experiment, most music majors and non-music majors have weak emotional experience at the beginning, and only a few have a strong emotional experience, which could reach 6 points. In the second scoring, most majors have a score of about 7 points, indicating strong emotional experience and a few have a score of about 4 points and 9 points, representing that there were relatively few majors with weak emotional experience and strong emotional experience. The overall emotional experience score is low in the comparison between non-music majors and music majors, and the second score in the entire experiment is significantly higher than the first score, signifying that the learning effect of players is obvious, and intelligent music software and soundscape play a role in the exploration of Chinese classical music.

Indexed as

MusicAuditory PerceptionChinaEmotionsHumansStudents

Identifiers

PMID35602646
PMCPMC9122685
OpenAlexW4280495619

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.