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Exploring the categories of students’ interest and their relationships with deep learning in technol...

Exploring the categories of students’ interest and their relationships with deep learning in technol...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11d89189af014111a02d249b262edbae

Exploring the categories of students’ interest and their relationships with deep learning in technology supported environments

About this item

Full title

Exploring the categories of students’ interest and their relationships with deep learning in technology supported environments

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-03, Vol.15 (1), p.10370-13, Article 10370

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Interest is not only the starting point to begin a wonderful learning journey for students, but also an important driver for deep learning and continuous progress. This study used latent profile analysis (LPA), multiple logistic regression analysis, and multivariate analysis of variance (MANOVA) to analyze the self-reported questionnaires of 634 ju...

Alternative Titles

Full title

Exploring the categories of students’ interest and their relationships with deep learning in technology supported environments

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_11d89189af014111a02d249b262edbae

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11d89189af014111a02d249b262edbae

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-95294-2

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