Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)

Saved in:
Bibliographic Details
Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030190584201217
collection WordPress RSS
FRELIP Feed Integration
container_title PLOS ONE
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:7870
institution FRELIP
journal_source_facet PLOS ONE
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_auth Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_full Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_fullStr Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_full_unstemmed Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_short Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
title_sort assessing the sustainable development of a national research ecosystem: a generative ai-based evaluation of empirical educational research in china (2004–2023)
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0341620