Enhancing Learning with AI-Driven Question Generation Technology
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2025
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| _version_ | 1866902180438474752 |
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| author | Antony, Divya Thomas, Ann Mary |
| author_facet | Antony, Divya Thomas, Ann Mary |
| contents | <p><span><span>The advancement in the customization and faster learning need has brought forth Question generation systems with more advanced Natural Language Processing (NLP) architectures. Its purpose is for the </span><span>service<span> to take text content data ( PDF, Word document and presentation files) and automatically generate questions on this content. The system uses spaCy for processing language and discerns relevant sentences by going through the text to support short answer, long answer/ESSAY style questions. The aim of questions is to assess what students have understood and think and thereby gives the teacher </span>usefulness<span> in measuring student understanding. The purpose of this paper is devoted, however briefly, to the use of AI-based techniques in educational systems and their potential effect on learning by means of self-implemented question generation. It also elaborates on some of the questions which are related to question quality and relevance and improvements made for the system in future.</span></span></span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15479629 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enhancing Learning with AI-Driven Question Generation Technology Antony, Divya Thomas, Ann Mary Natural Language Processing, Artificial Intelligence, Question Generation, Educational Technology <p><span><span>The advancement in the customization and faster learning need has brought forth Question generation systems with more advanced Natural Language Processing (NLP) architectures. Its purpose is for the </span><span>service<span> to take text content data ( PDF, Word document and presentation files) and automatically generate questions on this content. The system uses spaCy for processing language and discerns relevant sentences by going through the text to support short answer, long answer/ESSAY style questions. The aim of questions is to assess what students have understood and think and thereby gives the teacher </span>usefulness<span> in measuring student understanding. The purpose of this paper is devoted, however briefly, to the use of AI-based techniques in educational systems and their potential effect on learning by means of self-implemented question generation. It also elaborates on some of the questions which are related to question quality and relevance and improvements made for the system in future.</span></span></span></p> |
| title | Enhancing Learning with AI-Driven Question Generation Technology |
| topic | Natural Language Processing, Artificial Intelligence, Question Generation, Educational Technology |
| url | https://doi.org/10.5281/zenodo.15479629 |