End-User Needs of Fragmented Databases in Higher Education Data Analysis and Decision Making
dc.contributor.advisor | Cafaro, Francesco | |
dc.contributor.author | Briggs, Amanda | |
dc.contributor.other | Dombrowski, Lynn | |
dc.contributor.other | Reda, Khairi | |
dc.date.accessioned | 2019-04-24T12:15:34Z | |
dc.date.available | 2019-04-24T12:15:34Z | |
dc.date.issued | 2019-05 | |
dc.degree.date | 2019 | en_US |
dc.degree.discipline | School of Informatics | en |
dc.degree.grantor | Indiana University | en_US |
dc.degree.level | M.S. | en_US |
dc.description | Indiana University-Purdue University Indianapolis (IUPUI) | en_US |
dc.description.abstract | In higher education, a wealth of data is available to advisors, recruiters, marketers, and program directors. However, data sources can be accessed in a variety of ways and often do not seem to represent the same data set, presenting users with the confounding notion that data sources are in conflict with one another. As users are identifying new ways of accessing and analyzing this data, they are modifying existing work practices and sometimes creating their own databases. To understand how users are navigating these databases, the researchers employed a mixed methods research design including a survey and interview to understand the needs to end users who are accessing these seemingly fragmented databases. The study resulted in a three overarching categories – access, understandability, and use – that affect work practices for end users. The researchers used these themes to develop a set of broadly applicable design recommendations as well as six sets of sketches for implementation – development of a data gateway, training, collaboration, tracking, definitions and roadblocks, and time management. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/18934 | |
dc.language.iso | en_US | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
dc.subject | Human-computer interaction | en_US |
dc.subject | Databases | en_US |
dc.subject | User experience | en_US |
dc.subject | Data visualization | en_US |
dc.subject | Data | en_US |
dc.subject | Decision making | en_US |
dc.subject | Information design | en_US |
dc.subject | Work habits | en_US |
dc.title | End-User Needs of Fragmented Databases in Higher Education Data Analysis and Decision Making | en_US |
dc.type | Thesis | en |