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Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship

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Published in:Discover Internet of Things
Format: Online Article RSS Article
Published: 2026
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container_title Discover Internet of Things
description
discipline_display Social Sciences
discipline_facet Social Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:22348
institution FRELIP
journal_source_facet Discover Internet of Things
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
— — — — — Social Web
Psychology
Social Sciences
sub_discipline_display Psychology
sub_discipline_facet Psychology
subject_display — — — — — Social Web
Psychology
Social Sciences
— — — — — Social Web
Psychology
Social Sciences
subject_facet — — — — — Social Web
Psychology
Social Sciences
title Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_auth Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_full Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_fullStr Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_full_unstemmed Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_short Optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
title_sort optimization of artificial intelligence supporting the ecological construction of college students’ innovation and entrepreneurship
topic — — — — — Social Web
Psychology
Social Sciences
url https://link.springer.com/article/10.1007/s43926-026-00315-9