Evidence map›Paper›PMID 37740875›Full record

Trial reportJournal of autism and developmental disorders2024

Examining the Impact of Assistive Technology on Psychological Health, Family Education, and Curriculum Research in Japan: Insights from Artificial Intelligence.

Yanqi Guo

RetractedAbstract readRandomized Controlled TrialRetracted Publication
PubMed Publisher
In one paragraph

Trial report in Journal of autism and developmental disorders, 2024. 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 It has been retracted, and should not be counted.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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Yanqi GuoSchool of Foreign Languages, Northeast Normal University, Changchun, 130117, Jilin, China. guoyq111@nenu.edu.cn.
Northeast Normal University · CN

Funding

A Study on the Practice and Its Influencing Fctors of Japanese Home-School Cooperation: From the Perspective of Teacher-Parent Relationship 1809215
6 · The paper itself

Abstract

This study aims to analyze the effect of psychological health based on artificial intelligence agent technology on the implementation effect of Japanese family education. By combining mobile agent technology and education thought, the system structure and working mechanism of the education support system of agents are studied to build personalized support for the family education system based on mobile agents. A total of 320 Japanese middle school students were randomly divided into an experimental group and a control group, with 160 cases in each group. The control group received traditional family health education, while the experimental group received mental health education based on the Agent Technology family education system. The basic information and mental health scores of the two groups of students were compared. The results showed that there were no remarkable differences in the number of male and female cases, weight, height, average age, grade, home address, or family situation between groups (p > 0.05). The psychological health level of the experimental group was considerably superior to that of the control group regarding obsessional symptoms, interpersonal tension and sensitivity, depression, anxiety, learning pressure, maladaptation, emotional imbalance, and psychological imbalance (p < 0.05). In summary, compared with traditional family education, family education of the mental health education system based on agent technology can better improve the level of middle school students' mental health, which can improve student forced symptoms, interpersonal tension and sensitivity, depression, anxiety, learning pressure, maladjustment, emotional imbalance, psychological imbalance, and many other psychological states. Furthermore, personalized support for family education systems based on mobile agents has the advantages of autonomy, responsiveness, initiative, and mobility, which provides a new idea for family education.

Indexed as

Artificial IntelligenceCurriculumMental HealthStudentsAdolescentChildFamilyFemaleHealth EducationHumansJapanMaleSelf-Help DevicesAgent personalized learningArtificial intelligenceFamily educationPositive psychologyPsychological health

Identifiers

PMID37740875
OpenAlexW4386988222

What OpenQuestion holds

Textmetadata
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.