Template-Based Generator for Single-Choice Questions
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| Title: | Template-Based Generator for Single-Choice Questions |
|---|---|
| Language: | English |
| Authors: | Nico Willert (ORCID |
| 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 |
| 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. |
|---|---|
| ISSN: | 2211-1662 2211-1670 |
| DOI: | 10.1007/s10758-023-09659-5 |
