Research literacy and its predictors among university students and graduates identified by machine learning and spatial analysis.

ABSTRACT: The landscape of academic publishing has evolved dramatically, leading to a surge in publications and journals. The 'publish or perish' culture has resulted in undesirable practices, such as many researchers publishing in predatory journals due to institutional pressures and lack of awareness. While numerous studies have investigated knowledge of predatory journals, overall research literacy has remained underexplored. This study is the first to assess research literacy comprehensively, incorporating GIS and machine learning techniques alongside traditional statistical analyses. This study utilized a cross-sectional survey method with a questionnaire collecting information on socio-demographics, academic information, research training and experience, and research literacy. Traditional stat

SUBMITTER: Mamun MA 

PROVIDER: S-EPMC12518792 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature