Seth King, Joseph Boyer, Tyler Bell, Anne Estapa
An Automated Virtual Reality Training System for Teacher-Student Interaction: A Randomized Controlled Trial
JMIR serious games
environmental research requires understanding nonlinear ecological dynamics interact across multiple spatial temporal scales analysis longterm highfrequency sensor data combined simulation modeling enables interpretation complex ecological phenomena computational skills needed conduct analyses increasingly integrated graduate student training programs ecology despite importance however computational literacythat ability harness power computer technologies accomplish tasksis rarely taught undergraduate ecology classrooms representing major gap training students tackle complex environmental challenges experience developing undergraduate curricula longterm highfrequency data analysis simulation modeling two environmental science pedagogical initiatives project eddie environmental datadriven inquiry exploration macrosystems eddie found students often feel intimidated computational tasks compounded lack familiarity software eg r steep learning curves associated scriptbased analytical tools use prepackaged flexible modules introduce programming mechanism explore environmental datasets teach inquirybased ecology developed project eddie macrosystems eddie significantly increase students experience comfort levels advanced computational tools types modules turn provide great potential empowering students computational literacy needed ask ecological questions test hypotheses continentalscale sensor observatory networks rapidly expand availability longterm highfrequency data students skills manipulate visualize interpret data wellprepared diverse careers data science help advance future open reproducible science ecology