ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.12442
  4. Cited By
qDKT: Question-centric Deep Knowledge Tracing

qDKT: Question-centric Deep Knowledge Tracing

25 May 2020
Shashank Sonkar
Andrew E. Waters
Andrew Lan
Phillip J. Grimaldi
Richard G. Baraniuk
    AI4Ed
ArXivPDFHTML

Papers citing "qDKT: Question-centric Deep Knowledge Tracing"

10 / 10 papers shown
Title
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
Hao Zhou
Wenge Rong
Jianfei Zhang
Qing Sun
Y. Ouyang
Zhang Xiong
AI4Ed
KELM
90
0
0
17 Feb 2025
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Yilmazcan Ozyurt
Stefan Feuerriegel
Mrinmaya Sachan
AI4Ed
92
1
0
02 Oct 2024
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
200
9,944
0
15 Jul 2016
Deep Knowledge Tracing
Deep Knowledge Tracing
Chris Piech
J. Bassen
Jonathan Huang
Surya Ganguli
Mehran Sahami
Leonidas Guibas
Jascha Narain Sohl-Dickstein
AI4Ed
HAI
94
1,145
0
19 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content
  Analytics
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew Lan
Christoph Studer
Andrew E. Waters
Richard G. Baraniuk
50
161
0
18 Dec 2014
Identifying and attacking the saddle point problem in high-dimensional
  non-convex optimization
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Surya Ganguli
Yoshua Bengio
ODL
116
1,380
0
10 Jun 2014
word2vec Explained: deriving Mikolov et al.'s negative-sampling
  word-embedding method
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg
Omer Levy
SSL
71
1,608
0
15 Feb 2014
Time-varying Learning and Content Analytics via Sparse Factor Analysis
Time-varying Learning and Content Analytics via Sparse Factor Analysis
Andrew Lan
Christoph Studer
Richard G. Baraniuk
64
61
0
19 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
325
33,445
0
16 Oct 2013
1