Artificial Intelligence (AI)-enhanced learning analytics (LA) for supporting Career decisions: advantages and challenges from user perspective
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Education and information technologies
ISSN (print)
1360-2357
ISSN (electronic)
1573-7608
ISSN (linking)
1360-2357
Publisher
Springer
Publication forum ID
55039
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series volume number
29
Page numbers
297-322
DOI
10.1007/s10639-023-12277-4
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
516 Educational sciences, 515 Psychology
Keywords
artificial intelligence; education; learning; vocational education
Funding information
Funding information in the publication
Funding Open Access funding provided by University of Oulu (including Oulu University Hospital). The research has been supported by the European Commission, grant [SI2.488704 (ECOKT2016-1)] Learner-centred digital ecosystem of competence development and personal grant from Finnish Cultural Foundation.
Funders
Funder
European Union
Name of funding
-
Funding decision
-
Source database ID
WoS ID
WOS:001096949600002
Scopus ID
2-s2.0-85175808994