Go to main content
login
Menu
Search
Author Profiles
Browse Author Profiles
Browse Collections
FAQs
login
Exploring the Feasibility of using deep learning for cognitive diagnosic modeling
Xue, Kang
Download
Formats
Format
BibTeX
View
Download
MARCXML
View
Download
TextMARC
View
Download
MARC
View
Download
DataCite
View
Download
DublinCore
View
Download
EndNote
View
Download
NLM
View
Download
RefWorks
View
Download
RIS
View
Download
Add to Basket
Files
Abstract
NA
Details
Record ID
6044
Record Created
2024-12-05
Title
Exploring the Feasibility of using deep learning for cognitive diagnosic modeling
Author
Xue, Kang
Contributor
Bradshaw, Laine P.
Advisor
Galyardt, April
Committee Member
Wang, Shiyu
Committee Member
Kim, Seock-Ho
Committee Member
College or School
Mary Frances Early College of Education
Department
Educational Psychology
Subjects
Educational psychology
Content Type
Dissertation
Pagination
161
File Format
pdf
Language
English
Degree Type
Doctor of Philosophy (PHD)
Name of Granting Institution
University of Georgia
Year Degree Granted
2020-07
Keywords
Artificial Neural Networks
;
Cognitive Diagnostic Modeling
;
Q-Matrix Reconstruction
;
Semi-Supervised Leaning
;
Unsupervised Leaning
Record Appears in
College, School, or Unit
>
Mary Frances Early College of Education
>
Educational Psychology
Electronic Theses and Dissertations
>
Doctoral Dissertation
All Resources
Doctoral
System Control Number
9949365854502959
PDF
Statistics
Downloads
Unique Downloads
Views
Unique Views
from
to
By Days
By Months
By Years
Update
Export
Download Full History