Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical
Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire: The seven categories of the Stanford Faculty Development Program (SFDP) represent a framework for planning and assessing medical teaching. Nevertheless, so...
Source: biomedcentral.com
Less than 1 percent of millions of Google e-cigarette searches focused on quitting smoking: A study of Google search trends
Less than 1 percent of millions of Google e-cigarette searches focused on quitting smoking: A study of Google search trends led by researchers from the University of North Carolina Lineberger Comprehensive Cancer Center and San Diego State University as part of the Internet Tobacco Vendors Study shows...
Source: eurekalert.org
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