Staff View
Improving educational outcomes for STEM students at Rutgers University-Camden

Descriptive

TitleInfo
Title
Improving educational outcomes for STEM students at Rutgers University-Camden
SubTitle
a machine learning approach
Name (type = personal)
NamePart (type = family)
Pelullo
NamePart (type = given)
Arthur P.
NamePart (type = date)
1986-
DisplayForm
Arthur P. Pelullo
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Shende
NamePart (type = given)
Sunil
DisplayForm
Sunil Shende
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Camden Graduate School
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2017
DateOther (qualifier = exact); (type = degree)
2017-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2017
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
The goal of this thesis is to demonstrate how machine-learning techniques can be used to improve educational outcomes for STEM students at Rutgers University-Camden. The three main areas of focus are: identifying changes in the academic landscape throughout a 15-year period, identifying predictors of student success, and using these predictors to develop a recommendation system to assist at-risk students. The data in the study con- sists of student demographic and academic records from 2003-2017. Simple exploratory data analysis is used to highlight changes in student performance over time. Next, a deeper analysis is performed by training three classifiers - logistic regression with L1 penalty, logistic regression with L2 penalty, and a random forest model - to predict the probability that students will graduate. Finally, the predictions of each classifier are calibrated and combined to form a robust recommendation system which can be used to alert advisers when a student is struggling.
Subject (authority = RUETD)
Topic
Computer Science
Subject (authority = ETD-LCSH)
Topic
Science--Study and teaching
Subject (authority = ETD-LCSH)
Topic
Technology--Study and teaching
Subject (authority = ETD-LCSH)
Topic
Engineering--Study and teaching
Subject (authority = ETD-LCSH)
Topic
Mathematics--Study and teaching
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8330
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xii, 98 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Arthur P. Pelullo
RelatedItem (type = host)
TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
Identifier (type = local)
rucore10005600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3CJ8HJF
Genre (authority = ExL-Esploro)
ETD graduate
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Pelullo
GivenName
Arthur
MiddleName
P.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-09-07 22:49:30
AssociatedEntity
Name
Arthur Pelullo
Role
Copyright holder
Affiliation
Rutgers University. Camden Graduate School
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.5
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-09-28T18:43:23
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-09-28T18:43:23
ApplicationName
pdfTeX-1.40.18
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024