Facebook/Meta usage in higher education: A deep learning-based dual-stage SEM-ANN analysis

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dc.contributor.authorAkgül, Yakup
dc.contributor.authorUymaz, Ali Osman
dc.date.accessioned2024-10-24T07:34:58Z
dc.date.available2024-10-24T07:34:58Z
dc.date.issued2022
dc.departmentALKÜ, Enstitüler, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
dc.description.abstractThe paper’s main aim is to investigate and predict major factors in students’ behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to earlier social network research, this one utilized a novel technique that comprised a two-phase analysis and an upcoming the Artificial Neural Network (ANN) analysis approach known as deep learning was engaged to sort out relatively significant predictors acquired from Structural Equation Modeling (SEM). This study has confirmed that perceived task-technology fit is the most affirmative and meaningful effect on Facebook/Meta usage in higher education. Moreover, facilitating conditions, collaboration, subjective norms, and perceived ease of use has strong influence on Facebook usage in higher education. The study’s findings can be utilized to improve the usage of social media tools for teaching and learning, such as Facebook/Meta. There is a discussion of both theoretical and practical implications.
dc.identifier.doi10.1007/s10639-022-11012-9
dc.identifier.endpage9855en_US
dc.identifier.issue7en_US
dc.identifier.startpage9821en_US
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979783/
dc.identifier.urihttps://hdl.handle.net/20.500.12868/2493
dc.identifier.volume27en_US
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofEduc Inf Technol (Dordr).
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFacebook/Meta, Social media
dc.subjectSocial networking sites
dc.subjectStructural equation modeling
dc.subjectArtificial Neural network
dc.subjectDeep Learning
dc.subjectHigher education
dc.subjectOnline learning Turkey
dc.titleFacebook/Meta usage in higher education: A deep learning-based dual-stage SEM-ANN analysis
dc.typeArticle

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