Brian J. Rybarczyk|Kristen L. W. Walton|Wendy H. Grillo
The Development and Implementation of an Instrument to Assess Students’ Data Analysis Skills in Molecular Biology
University of North Carolina at Chapel Hill|Missouri Western State University|North Carolina Central University
developing visual literacy skills important component scientific literacy undergraduate science education comprehension analysis interpretation parts visual literacy describe related data analysis skills important learning biological sciences molecular biology data analysis test mbdat developed measure students data analysis skills connected scientific reasoning analyzing interpreting scientific data generated experimental research skills analyzed included basic skills identification patterns trends data connecting method generated data advanced skills distinguishing positive negative controls synthesizing conclusions determining data supports hypothesis predicting alternative nextstep experiments construct content validity established calculated statistical parameters demonstrate mbdat valid reliable measuring students data analysis skills molecular cell biology contexts instrument also measures students perceived confidence data interpretation abilities scientific research continues evolve complexity interpretation scientific information visual formats continue important component scientific literacy thus science education need support assess students development skills part students scientific training