Natural language processing for web-based grammar question recommendation system
Many students, particularly non-native English speakers, find it difficult to learn English grammar. To effectively learn English, one must first understand the concepts of English grammar before practicing answering exercise questions. This project investigates an NLP approach for an English gramma...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168122 |
| _version_ | 1826114487494639616 |
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| author | Yamin Htet Oo |
| author2 | Hui Siu Cheung |
| author_facet | Hui Siu Cheung Yamin Htet Oo |
| author_sort | Yamin Htet Oo |
| collection | NTU |
| description | Many students, particularly non-native English speakers, find it difficult to learn English grammar. To effectively learn English, one must first understand the concepts of English grammar before practicing answering exercise questions. This project investigates an NLP approach for an English grammar pattern-based question recommendation system that recommends related questions for further practice. Previous English learning recommendation systems focused primarily on recommending reading materials and vocabulary. Grammar question recommendations, unlike reading materials and vocabulary recommendations, suggest questions with similar grammatical structures and usages.
The goal of this final year project is to enhance the graphical user interface (GUI) of an existing online learning platform by adding the login and register features, adding testing components for users to assess their learning progress, and integrating these new features seamlessly with the existing features of the platform. The existing features include a homepage, quiz page, search page, and intelligent search page, which were implemented by a previous student.
The project follows a user-centered design approach to improve the user experience of the online learning platform. The new features are integrated with the existing features of the platform to provide a seamless user experience. The outcome of the project is an improved online learning platform that provides users with a more engaging and personalized learning experience. The project demonstrates the importance of user-centered design in creating effective and intuitive interfaces for online learning platforms. |
| first_indexed | 2024-10-01T03:39:58Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/168122 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:39:58Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1681222023-06-09T15:37:52Z Natural language processing for web-based grammar question recommendation system Yamin Htet Oo Hui Siu Cheung School of Computer Science and Engineering ASSCHUI@ntu.edu.sg Engineering::Computer science and engineering Many students, particularly non-native English speakers, find it difficult to learn English grammar. To effectively learn English, one must first understand the concepts of English grammar before practicing answering exercise questions. This project investigates an NLP approach for an English grammar pattern-based question recommendation system that recommends related questions for further practice. Previous English learning recommendation systems focused primarily on recommending reading materials and vocabulary. Grammar question recommendations, unlike reading materials and vocabulary recommendations, suggest questions with similar grammatical structures and usages. The goal of this final year project is to enhance the graphical user interface (GUI) of an existing online learning platform by adding the login and register features, adding testing components for users to assess their learning progress, and integrating these new features seamlessly with the existing features of the platform. The existing features include a homepage, quiz page, search page, and intelligent search page, which were implemented by a previous student. The project follows a user-centered design approach to improve the user experience of the online learning platform. The new features are integrated with the existing features of the platform to provide a seamless user experience. The outcome of the project is an improved online learning platform that provides users with a more engaging and personalized learning experience. The project demonstrates the importance of user-centered design in creating effective and intuitive interfaces for online learning platforms. Bachelor of Engineering (Computer Science) 2023-06-07T02:20:48Z 2023-06-07T02:20:48Z 2023 Final Year Project (FYP) Yamin Htet Oo (2023). Natural language processing for web-based grammar question recommendation system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168122 https://hdl.handle.net/10356/168122 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Yamin Htet Oo Natural language processing for web-based grammar question recommendation system |
| title | Natural language processing for web-based grammar question recommendation system |
| title_full | Natural language processing for web-based grammar question recommendation system |
| title_fullStr | Natural language processing for web-based grammar question recommendation system |
| title_full_unstemmed | Natural language processing for web-based grammar question recommendation system |
| title_short | Natural language processing for web-based grammar question recommendation system |
| title_sort | natural language processing for web based grammar question recommendation system |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/168122 |
| work_keys_str_mv | AT yaminhtetoo naturallanguageprocessingforwebbasedgrammarquestionrecommendationsystem |