Personalized Question Generation
Personalized Question Generation is a knowledge-based authentication method that dynamically constructs verifiable challenge questions by leveraging unique, user-specific attributes or historical data to enhance security and usability.
18
Publications
608
Citations
78
Authors
35
Institutions
Publications per year
2017–2026
13
18
Augmenting Classrooms with AI for Personalized Education
Ravi Kokku, Sharad Sundararajan, Prasenjit Dey et al. · 2018 · 54 citations
Education, Early Childhood Education, Educational Technology +17
Generating Multiple Choice Questions for Computing Courses Using Large Language Models
Andrew Tran, Kenneth Angelikas, Egi Rama et al. · 2023 · 47 citations
Christian Gütl, Klaus Lankmayr, Joachim Weinhofer et al. · The Electronic Journal of e-Learning · 2011 · 43 citations · Full text
Education, Educational Assessment, Educational Technology +15
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35
University of Southern California
Los Angeles, United States
2 h-index
5 publications
102 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
88 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
126 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
41 citations
Guangzhou University of Chinese Medicine
Guangzhou, China
1 h-index
4 publications
48 citations

South China University of Technology
Guangzhou, China
1 h-index
3 publications
36 citations

Zhejiang Normal University
Jinhua, China
1 h-index
3 publications
120 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
2 publications
72 citations
1–8 of 35
2 publications · 109 citations
2
h-index
EJEL · 1 publications · 43 citations
1
h-index
1 publications · 42 citations
1
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IMWUT · 1 publications · 11 citations
1
h-index
1 publications · 41 citations
1
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1–5