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ERN: Emerging Researchers National Conference in STEM

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Geospatial Problems for Teaching and Learning in Computing and Data Analytics

Faculty #27
Discipline: Computer Sciences & Information Management
Subcategory: STEM Research

Sambit Bhattacharya - Fayetteville State University
Co-Author(s): Bogdan Czejdo, Fayetteville State University; Valentin Milanov, Fayetteville State University



Educational research suggests that Computer Science curricula can benefit from creating pathways built from contexts, which are application and domain areas that cover core knowledge by providing explanations and motivation for students. By design, geospatial problems can help train students in computational and data-enabled science in the context of geospatial applications. Interdisciplinary, computation-oriented classes can be designed to provide a geospatial context in which computing students can apply their skills, and thus gain deeper knowledge of their discipline, while other students can learn additional skills to enhance abilities in their own non-computing disciplines. This interdisciplinary approach can open up new career possibilities for all students, since geospatial technologies have experienced robust job growth in the recent past and this trend is expected to continue as the industry and government are projected to hire an increasing number of specialists in this area. During the talk the speaker will describe the educational materials that have been developed and what types of courses may be suitable for inclusion of these materials.

Funder Acknowledgement(s): National Science Foundation

Faculty Advisor: None Listed,
NSF Affiliation: HBCU-UP

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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