Show simple item record

Barriers and Enablers for Adopting Artificial Intelligence for Learning and Teaching: Evidence from Nigeria

dc.contributor.authorIbrahim, Kabir
dc.contributor.authorOsuizugbo, Innocent Chigozie
dc.contributor.authorDandajeh, Mukhtar Adamu
dc.contributor.authorOmer, Mazen M.
dc.contributor.authorOshodi, Olalekan Shamsideen
dc.contributor.authorEzeudu, Benedicta Ogochukwu
dc.date.accessioned2026-08-20T12:13:11Z
dc.date.available2026-08-20T12:13:11Z
dc.date.copyright2026/03/19
dc.date.issued2026
dc.identifier.otherJSDCCC.SCENG-1969.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313243
dc.description.abstractAbstractArtificial intelligence (AI) has emerged as a vital tool for humanity due to the numerous advantages its usage offers to many sectors, including education. This study adopts a quantitative approach to identify the key barriers and enablers ...
dc.publisherAmerican Society of Civil Engineers
dc.titleBarriers and Enablers for Adopting Artificial Intelligence for Learning and Teaching: Evidence from Nigeria
dc.typeJournal Article
dc.journal.volume31
dc.journal.issue3
dc.journal.titleJournal of Structural Design and Construction Practice
dc.identifier.doi10.1061/JSDCCC.SCENG-1969
dc.journal.fristpage04026029-1
dc.journal.lastpage04026029-14
dc.page14
dc.treeJournal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003
dc.contenttypeFulltext


Files in this item

Thumbnail
Name:
JSDCCC.SCENG-1969.pdf
Size:
643.3Kb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record