Evidence map›Paper›PMID 34603640›Full record

ArticleJournal of healthcare engineering2021

Application of Computer-Aided Instruction (CAI) in the Physical Education: Survey Analysis of Chinese Universities.

Zhonghong Teng, Shukai Cai

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. 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 It has been retracted, and should not be counted.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
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Zhonghong TengDepartment of Physical Education, Anhui Polytechnic University, Wuhu, Anhui 241000, China.ORCID 0000-0002-2854-8700
Shukai CaiDepartment of Economics and Management, Anhui Polytechnic University, Wuhu, Anhui 241000, China.ORCID 0000-0003-1292-4457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of artificial intelligence, computer-aided instruction has developed into intelligent computer-aided instruction. Computer-aided instruction not only overcomes many weaknesses of traditional physical education teaching but also significantly increases the teaching effect and efficiency. This article first studies and analyzes the characteristics of computer-aided instruction systems. Then, we use statistical methods and logical analysis to randomly select two classes of undergraduate students as the experimental and control group, respectively. In the control group, the traditional teaching model was adopted, while the experimental group adopted the computer-aided teaching mode. The experimental group showed significant improvement in physical education as compared to the control group. The results of this study validated that the use of computer-assisted instruction is beneficial in the implementation of physical education programs, mostly in teaching concepts and principles of academic nature.

Indexed as

Computer-Assisted InstructionArtificial IntelligenceChinaHumansPhysical Education and TrainingUniversities

Identifiers

PMID34603640
PMCPMC8486525

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.