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Template-Based Generator for Single-Choice Questions

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Bibliographic Details
Title: Template-Based Generator for Single-Choice Questions
Language: English
Authors: Nico Willert (ORCID 0000-0002-5023-4329), Jonathan Thiemann
Source: Technology, Knowledge and Learning. 2024 29(1):355-370.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests, Selection Tools, Technology Uses in Education, Computer Software, Computer Assisted Testing
Geographic Terms: Germany
DOI: 10.1007/s10758-023-09659-5
ISSN: 2211-1662
2211-1670
Abstract: Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles of the generative software development and aspects of the feature-oriented product line engineering process into the field of question creation and generation. The resulting generator can be used to generate single-choice-question-families by means of written question templates. The generated questions within a question-family differ based on the set features and parameters and can be imported into the target learning management system ILIAS. Without much effort, examiners and educators can use the generator to create variants of their questions and deliver them to their students.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1411149
Database: ERIC
FullText Text:
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  Data: Template-Based Generator for Single-Choice Questions
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  Data: <searchLink fieldCode="AR" term="%22Nico+Willert%22">Nico Willert</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-5023-4329">0000-0002-5023-4329</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jonathan+Thiemann%22">Jonathan Thiemann</searchLink>
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: <searchLink fieldCode="DE" term="%22Tests%22">Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Examiners%22">Examiners</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+Choice+Tests%22">Multiple Choice Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Selection+Tools%22">Selection Tools</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink>
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  Data: Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles of the generative software development and aspects of the feature-oriented product line engineering process into the field of question creation and generation. The resulting generator can be used to generate single-choice-question-families by means of written question templates. The generated questions within a question-family differ based on the set features and parameters and can be imported into the target learning management system ILIAS. Without much effort, examiners and educators can use the generator to create variants of their questions and deliver them to their students.
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Multiple Choice Tests
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      – SubjectFull: Selection Tools
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      – SubjectFull: Technology Uses in Education
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