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Moving university hydrology education forward with geoinformatics, data and modeling approaches
2012
Hydrology and Earth System Sciences Discussions
In this opinion paper, we review recent literature related to data and modeling driven instruction in hydrology, and present our findings from surveying the hydrology education community in the United States. This paper presents an argument that that Data and Modeling Driven Geoscience Cybereducation (DMDGC) approaches are valuable for 5 teaching the conceptual and applied aspects of hydrology, as a part of the broader effort to improve Science, Technology, Engineering, and Mathematics (STEM)
doi:10.5194/hessd-9-2601-2012
fatcat:5uzyfmoiifguxhjcct5mvncdue