Evidence map›Paper›PMID 38298626›Full record

ReviewHeliyon2024

The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles.

Hao Yu

RetractedAbstract readReviewRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 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 It has been retracted, and should not be counted.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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Assessment of ChatGPT's Performance on the ACP 2024 National Prosthodontics Resident Exam (NPRE).European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Applications of Large Language Models in Pathology.Bioengineering (Basel, Switzerland) · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Hao YuFaculty of Education, Shaanxi Normal University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid development of information technology, artificial intelligence has demonstrated great potential in promoting educational transformation. In November 2022, the release of the artificial intelligence product ChatGPT attracted widespread attention, particularly in the field of education, sparking heated discussions among scholars. As a language processing tool, ChatGPT can not only answer user questions but also complete user-specified tasks and even continuously optimize task performance. However, while possessing powerful features, ChatGPT also has some shortcomings that need improvement, such as the accuracy of answering questions, data pollution issues, ethical and safety concerns, and the risk of knowledge plagiarism. In the process of promoting school education reform, the application of ChatGPT brings both opportunities and challenges. Moreover, ChatGPT's emergence offers teachers an opportunity to reflect on their professional value and sets higher demands for them.

Indexed as

Artificial intelligenceChatGPTEducational transformationTeacher educationTeacher literacy

Identifiers

PMID38298626
PMCPMC10828640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.