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Automatic question generation and answer assessment: a survey
Open accessAbstract
Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor. Therefore, automatic question generation from learning resources is the primary task of an automated assessment system. This paper presents a survey of automatic question generation and assessment strategies from textual and pictorial learning resources. The purpose of this survey is to summarize the state-of-the-art techniques for generating questions and evaluating their answers automatically.
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“There are a few specific reviews, in particular domain areas of question generation. For example, the work done for question generation in the educational domain is discussed in [15].”
From Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications (2023) · cites this paper as [16]
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Metadata
- Authors
- Das, B., Majumder, M., Phadikar, S., & Sekh, A. A.
- Affiliations
- Haldia Institute of Technology (IN)
- North Bengal University (IN)
- Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
- UiT The Arctic University of Norway (NO)
- Corresponding author
- Das, Bidyut
- Venue
- Research and Practice in Technology Enhanced Learning
- Published
- 2021-03-18
- Volume
- 16
- Issue
- 1
- ISSN
- 1793-2068 (ISSN-L)
- 1793-7078
- OpenAlex
- W3143827210
- Cited by
- 123
- References
- 82
- Citations by year
- 2026: 24 · 2025: 28 · 2024: 27 · 2023: 29 · 2022: 13 · 2021: 2
- FWCI
- 16.05
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Research and Practice in Technology Enhanced Learning (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- automatic question generation, automated assessment systems, learning resources, self-assessment, online learning
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