Preprints
Filtering by Subject: Education
Preparing for the Utilization of Data Science / Data Analytics in Earth Science Research
Published: 2018-06-21
Subjects: Computational Engineering, Computer Sciences, Databases and Information Systems, Education, Engineering, Mathematics, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Science and Mathematics Education, Statistics and Probability
Data analytics is the process of examining large amounts of varying data types to uncover hidden patterns, unknown correlations and other useful information. The Earth Science Information Partners (ESIP) Earth Science Data Analytics (ESDA) Cluster was created to facilitate the co-analysis of Earth science data and information. In addition to pioneering the definition of ESDA, the cluster has [...]
Do Geology Field Courses Improve Penetrative Thinking?
Published: 2018-06-05
Subjects: Earth Sciences, Education, Geology, Physical Sciences and Mathematics
Spatial thinking skills are important for geoscientists, and field courses play an important role in using and developing those skills. This study examines the development of spatial perception and geoscience-specific penetrative thinking skills, as measured by paired pre- and post-tests using the water-level test and the Geologic Block Cross-sectioning Test, in a sophomore field mapping course. [...]
Knowledge in the Dark: Scientific Challenges and Ways Forward
Published: 2018-03-26
Subjects: Earth Sciences, Education, Environmental Sciences, Environmental Studies, Higher Education, Language and Literacy Education, Liberal Studies, Library and Information Science, Life Sciences, Medicine and Health Sciences, Physical Sciences and Mathematics, Public Health, Science and Mathematics Education, Social and Behavioral Sciences
We propose the concept of knowledge in the dark – or short: dark knowledge – and outline how it can help clarify why in our current era of Big Data, the knowledge (i.e. evidence-based understanding) of people does not seem to be substantially increasing despite a rapid increase in produced data and information. Key reasons underlying dark knowledge are: (1) the production of biased, erroneous or [...]