TY - GEN
T1 - A pilot "Big Data" education modular curriculum for engineering graduate education
T2 - 47th IEEE Frontiers in Education Conference, FIE 2017
AU - Nelson, Megan Sapp
AU - Pouchard, Line
N1 - Funding Information:
This manuscript has been authored in part by employees of Brookhaven Science Associates, LLC under Contract No. DESC0012704 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/12
Y1 - 2017/12/12
N2 - Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered "Big Data". While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members' knowledge in training graduate and undergraduate research assistants in the management of Big Data. The project described herein details the development of a Big Data education module for a group of graduate researchers and undergraduate research assistants in Electrical and Computer Engineering. This project has the following objectives: to document and describe current data management practices; to identify gaps in knowledge that need to be addressed in order for research assistants to successfully manage Big Data; and to create curricular interventions to address these gaps. This paper details the motivation, relevant literature, research methodology, curricular intervention, and pilot presentation of the module. Results indicate that, generally, students involved in Big Data projects need comprehensive introduction to the topic, which will be most effective when contextualized to the work that they are performing in the research or classroom environment.
AB - Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered "Big Data". While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members' knowledge in training graduate and undergraduate research assistants in the management of Big Data. The project described herein details the development of a Big Data education module for a group of graduate researchers and undergraduate research assistants in Electrical and Computer Engineering. This project has the following objectives: to document and describe current data management practices; to identify gaps in knowledge that need to be addressed in order for research assistants to successfully manage Big Data; and to create curricular interventions to address these gaps. This paper details the motivation, relevant literature, research methodology, curricular intervention, and pilot presentation of the module. Results indicate that, generally, students involved in Big Data projects need comprehensive introduction to the topic, which will be most effective when contextualized to the work that they are performing in the research or classroom environment.
KW - Big Data
KW - Curriculum development
KW - Graduate education
KW - Research data management
KW - Undergraduate education
UR - http://www.scopus.com/inward/record.url?scp=85043258780&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85043258780&partnerID=8YFLogxK
U2 - 10.1109/FIE.2017.8190688
DO - 10.1109/FIE.2017.8190688
M3 - Conference contribution
AN - SCOPUS:85043258780
T3 - Proceedings - Frontiers in Education Conference, FIE
SP - 1
EP - 5
BT - FIE 2017 - Frontiers in Education, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 October 2017 through 21 October 2017
ER -