Application-Driven Design: Help Students Understand Employment and See the 'Big Picture'

Li Liu; Deborah Silver; Karen Bemis

doi:10.1109/MCG.2018.032421656

Application-Driven Design: Help Students Understand Employment and See the 'Big Picture'

Li Liu, Deborah Silver, Karen Bemis

School of Engineering, Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Few tools for career exploration utilize visualizations despite their potential to help students understand the intangible relationships between jobs and majors. Our application-driven design combines the intuitiveness of node-link diagrams and the scalability of aggregation-based techniques to combine an overview of a job database with the option for individualized exploration.

Original language	English (US)
Pages (from-to)	90-105
Number of pages	16
Journal	IEEE Computer Graphics and Applications
Volume	38
Issue number	3
DOIs	https://doi.org/10.1109/MCG.2018.032421656
State	Published - May 1 2018

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

Keywords

career counseling
categorical data
circular layout
visualization

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10.1109/MCG.2018.032421656

Cite this

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abstract = "Few tools for career exploration utilize visualizations despite their potential to help students understand the intangible relationships between jobs and majors. Our application-driven design combines the intuitiveness of node-link diagrams and the scalability of aggregation-based techniques to combine an overview of a job database with the option for individualized exploration.",

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Application-Driven Design: Help Students Understand Employment and See the 'Big Picture'

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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