Online Learning Self-Efficacy, AI Anxiety, and Digital Well-Being in Engineering Students: A Predictive Model.

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Title: Online Learning Self-Efficacy, AI Anxiety, and Digital Well-Being in Engineering Students: A Predictive Model.
Authors: Al-Nasa'h, Mais1, m.alnasah@ju.edu.jo, Al-Tarawneh, Luae2, l.altarawneh@psut.edu.jo, Al-Qaralleh, Esam A.2, qaralleh@psut.edu.jo, Allabadi, Nizar1, n.allabadi@ju.edu.jo, Ghaith, Souad3, drsghaith@hu.edu.jo, Aldalahmeh, Sami4, s.aldalahmeh@zuj.edu.jo
Source: International Journal of Online & Biomedical Engineering; 2026, Vol. 22 Issue 5, p4-21, 18p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Online+%26+Biomedical+Engineering%22">International Journal of Online & Biomedical Engineering</searchLink>; 2026, Vol. 22 Issue 5, p4-21, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193651397
RecordInfo BibRecord:
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        Value: 10.3991/ijoe.v22i05.59863
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 4
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      – TitleFull: Online Learning Self-Efficacy, AI Anxiety, and Digital Well-Being in Engineering Students: A Predictive Model.
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            NameFull: Al-Nasa'h, Mais
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            NameFull: Al-Tarawneh, Luae
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            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
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