End-User Needs of Fragmented Databases in Higher Education Data Analysis and Decision Making

dc.contributor.advisorCafaro, Francesco
dc.contributor.authorBriggs, Amanda
dc.contributor.otherDombrowski, Lynn
dc.contributor.otherReda, Khairi
dc.date.accessioned2019-04-24T12:15:34Z
dc.date.available2019-04-24T12:15:34Z
dc.date.issued2019-05
dc.degree.date2019en_US
dc.degree.disciplineSchool of Informaticsen
dc.degree.grantorIndiana Universityen_US
dc.degree.levelM.S.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractIn 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.urihttps://hdl.handle.net/1805/18934
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectHuman-computer interactionen_US
dc.subjectDatabasesen_US
dc.subjectUser experienceen_US
dc.subjectData visualizationen_US
dc.subjectDataen_US
dc.subjectDecision makingen_US
dc.subjectInformation designen_US
dc.subjectWork habitsen_US
dc.titleEnd-User Needs of Fragmented Databases in Higher Education Data Analysis and Decision Makingen_US
dc.typeThesisen
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