A joint neural network model for combining heterogeneous user data sources: An example of at‐risk student prediction-Reference-Cited by-同舟云学术

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A joint neural network model for combining heterogeneous user data sources: An example of at‐risk student prediction

Published:2019-12-11 Issue:10 Volume:71 Page:1192-1204
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Qiao Chen¹^ORCID,Hu Xiao¹^ORCID

Affiliation:

1. Division of Information and Technology Studies, University of Hong Kong Hong Kong S.A.R. China

Funder

Research Grants Council, University Grants Committee, Hong Kong Special Administrative Region of the People's Republic of China

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24322

Reference36 articles.

1. Pattern Recognition and Machine Learning

2. Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

3. Bagging predictors

4. Students' LMS interaction patterns and their relationship with achievement: A case study in higher education

5. Wide & Deep Learning for Recommender Systems

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