Surveys in the AI Track of ILE

Simple item page
dc.contributor.authorRada, Roy
dc.date.accessioned2025-07-30T19:22:26Z
dc.date.issued2025-06-26
dc.description.abstractThe first four issues of ILE 2025 and the tenth issue of 2024 contain twenty-eight original research papers that address Generative AI. Fifteen of those twenty-eight original research papers rely on surveys. This collection identifies those 15 papers. The most frequent modelling approach among the 15 survey papers uses the Technology Acceptance Model (TAM), and 4 of the 15 papers rely on it. (Wang et al., 2025) apply TAM to questionnaire responses of teachers about GenAI. (Shen et al., 2025), (Chang et al., 2025), and (Arthur et al., 2025) apply TAM to surveys of students about GenAI.
dc.description.urihttps://www.tandfonline.com/journals/nile20/collections/Surveys_in_the_AI_Track_of_ILE
dc.format.extent3 pages
dc.genrejournal articles
dc.genrepostprints
dc.identifierdoi:10.13016/m2sjef-jkjc
dc.identifier.citationRada, Roy. “Surveys in the AI Track of ILE.” Taylor & Francis, June 26, 2025. https://www.tandfonline.com/journals/nile20/collections/Surveys_in_the_AI_Track_of_ILE.
dc.identifier.urihttp://hdl.handle.net/11603/39546
dc.language.isoen_US
dc.publisherTaylor and Francis
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Interactive Learning Environments on June 26th, 2025, available online: https://www.tandfonline.com/journals/nile20/collections/Surveys_in_the_AI_Track_of_ILE.
dc.titleSurveys in the AI Track of ILE
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-1048-5879

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
SurveysintheAITrackofILE.pdf
Size:
166.85 KB
Format:
Adobe Portable Document Format
Download

Collections

UMBC Faculty Collection
UMBC Information Systems Department