Virtual teaching assistant for undergraduate students using natural language processing & deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/18703 |
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10361-187032023-07-10T21:03:19Z Virtual teaching assistant for undergraduate students using natural language processing & deep learning Sakib, Sadman Jashim Joy, Baktiar Kabir Rydha, Zahin Nuruzzaman, Md. Anik, Khaled Ahmmed Rasel, Annajiat Alim Abdullah, Matin Saad Department of Computer Science and Engineering, Brac University Dataset Chatbot Tokenization Classifier Bag of words Stemming Lemmatization Word embedding Prototype Neural networks Natural language processing (Computer science) Cognitive learning theory This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-39). Online education’s popularity has been continuously increasing over the past few years. Many universities were forced to switch to online education as a result of COVID-19. In many cases, even after more than two years of online instruction, colleges were unable to resume their traditional classroom programs. A growing number of institutions are considering a hybrid approach to education, in which some face-to-face teaching is augmented with online learning. Nevertheless, many online education systems are inefficient, and this results in a poor rate of student retention. In this paper, we are offering a primary dataset, a virtual teaching assistant named VTA-bot, and its system architecture. In addition, we are showing a first implementation of the suggested system, which consists of a chatbot that can be queried about the content and topics of the ‘Programming Language I’ course, an introductory programming language course offered by the CSE department of Brac University. Students in their first year of university will benefit from this strategy, which aims to increase student participation and involvement in online education. Sadman Jashim Sakib Baktiar Kabir Joy Zahin Rydha Md. Nuruzzaman Khaled Ahmmed Anik B. Computer Science 2023-07-10T06:32:50Z 2023-07-10T06:32:50Z 2022 2022-05 Thesis ID 18101635 ID 18301018 ID 18301042 ID 18301126 ID 18301083 http://hdl.handle.net/10361/18703 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 39 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Dataset Chatbot Tokenization Classifier Bag of words Stemming Lemmatization Word embedding Prototype Neural networks Natural language processing (Computer science) Cognitive learning theory |
| spellingShingle |
Dataset Chatbot Tokenization Classifier Bag of words Stemming Lemmatization Word embedding Prototype Neural networks Natural language processing (Computer science) Cognitive learning theory Sakib, Sadman Jashim Joy, Baktiar Kabir Rydha, Zahin Nuruzzaman, Md. Anik, Khaled Ahmmed Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Rasel, Annajiat Alim |
| author_facet |
Rasel, Annajiat Alim Sakib, Sadman Jashim Joy, Baktiar Kabir Rydha, Zahin Nuruzzaman, Md. Anik, Khaled Ahmmed |
| format |
Thesis |
| author |
Sakib, Sadman Jashim Joy, Baktiar Kabir Rydha, Zahin Nuruzzaman, Md. Anik, Khaled Ahmmed |
| author_sort |
Sakib, Sadman Jashim |
| title |
Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| title_short |
Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| title_full |
Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| title_fullStr |
Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| title_full_unstemmed |
Virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| title_sort |
virtual teaching assistant for undergraduate students using natural language processing & deep learning |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/18703 |
| work_keys_str_mv |
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