Adaptive Question Selection is a computational method in personalized learning systems that dynamically selects subsequent questions based on a learner’s real-time performance and proficiency, thereby optimizing assessment accuracy and instructional efficiency through individualized item sequencing.
32
Publications
1.3K
Citations
90
Authors
41
Institutions
Publications per year
2017–2026
15
Publications
32
SIETTE: A Web-Based Tool for Adaptive Testing
Ricardo Conejo, Eduardo Guzmán, Eva Millán et al. · 2004 · 186 citations
Education, Educational Assessment, Educational Technology +16
Active Machine Learning for Consideration Heuristics
Daria Dzyabura, John R. Hauser · Marketing Science · 2011 · 97 citations
1–5 of 32
Authors
90
- ZH
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- MB
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- EC
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- RP
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1–5 of 90
Institutions
41
Max Planck Institute for Human Development
Berlin, Germany
3 h-index
7 publications
624 citations
University of Science and Technology of China
Hefei, China
3 h-index
16 publications
571 citations
Slovak University of Technology in Bratislava
Bratislava, Slovakia
2 h-index
8 publications
478 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
1 publications
11 citations
Masaryk University
Brno, Czechia
2 h-index
5 publications
146 citations
Huawei Technologies (China)
Shenzhen, China
2 h-index
5 publications
96 citations
Anhui University
Hefei, China
2 h-index
2 publications
95 citations
University of Southern California
Los Angeles, United States
2 h-index
1 publications
85 citations
1–8 of 41
Venues
- Marketing Science
3 publications · 273 citations
3
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 1 publications · 53 citations
2
h-index
- Cognition
2 publications · 220 citations
2
h-index
- Interactive Learning Environments
ILE · 1 publications · 13 citations
1
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- European Journal of Operational Research
1 publications · 34 citations
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1–5