Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis

Samer Muthana Sarsam; Abd Aziz Alias; Su Mon Chit; Hosam Al-Samarraie; Ahmed Isam Al-Hatem

doi:10.1109/BdKCSE59280.2023.10339760

Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis

Samer Muthana Sarsam, Abd Aziz Alias, Su Mon Chit, Hosam Al-Samarraie, Ahmed Isam Al-Hatem

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Generative Artificial Intelligence chatbots (GAI chatbots) have emerged as promising tools in various domains, including higher education, so this study aims to investigate the role of Bard, a newly developed GAI chatbot, in higher education. English tweets were collected from Twitter's free streaming Application Programming Interface (API). The Latent Dirichlet Allocation (LDA) algorithm was applied to extract latent topics from the tweets. User sentiments were extracted using the NRC Affect Intensity Lexicon and SentiStrength tools. This study explored the benefits, challenges, and future implications of integrating GAI chatbots in higher education. The findings shed light on the potential power of such tools, exemplified by Bard, in enhancing the learning process and providing support to students throughout their educational journey.

Original language	English
Title of host publication	2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE)
Publisher	IEEE
ISBN (Electronic)	9798350313246
DOIs	https://doi.org/10.1109/BdKCSE59280.2023.10339760
Publication status	Published - 11 Dec 2023
Event	8th International Conference on Big Data, Knowledge and Control Systems Engineering 2023 - Sofia, Bulgaria Duration: 2 Nov 2023 → 3 Nov 2023

Conference

Conference	8th International Conference on Big Data, Knowledge and Control Systems Engineering 2023
Abbreviated title	BdKCSE 2023
Country/Territory	Bulgaria
City	Sofia
Period	2/11/23 → 3/11/23

Keywords

Bard
Generative Artificial Intelligence chatbots
higher education
sentiment analysis
topic modelling

ASJC Scopus subject areas

Information Systems
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Modelling and Simulation
Artificial Intelligence
Computer Vision and Pattern Recognition
Hardware and Architecture

Access to Document

10.1109/BdKCSE59280.2023.10339760

Cite this

Sarsam, S. M., Alias, A. A., Chit, S. M., Al-Samarraie, H., & Al-Hatem, A. I. (2023). Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis. In 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE) Article 10339760 IEEE. https://doi.org/10.1109/BdKCSE59280.2023.10339760

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title = "Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis",

abstract = "The Generative Artificial Intelligence chatbots (GAI chatbots) have emerged as promising tools in various domains, including higher education, so this study aims to investigate the role of Bard, a newly developed GAI chatbot, in higher education. English tweets were collected from Twitter's free streaming Application Programming Interface (API). The Latent Dirichlet Allocation (LDA) algorithm was applied to extract latent topics from the tweets. User sentiments were extracted using the NRC Affect Intensity Lexicon and SentiStrength tools. This study explored the benefits, challenges, and future implications of integrating GAI chatbots in higher education. The findings shed light on the potential power of such tools, exemplified by Bard, in enhancing the learning process and providing support to students throughout their educational journey.",

keywords = "Bard, Generative Artificial Intelligence chatbots, higher education, sentiment analysis, topic modelling",

author = "Sarsam, {Samer Muthana} and Alias, {Abd Aziz} and Chit, {Su Mon} and Hosam Al-Samarraie and Al-Hatem, {Ahmed Isam}",

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year = "2023",

month = dec,

day = "11",

doi = "10.1109/BdKCSE59280.2023.10339760",

language = "English",

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Sarsam, SM, Alias, AA, Chit, SM, Al-Samarraie, H & Al-Hatem, AI 2023, Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis. in 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE)., 10339760, IEEE, 8th International Conference on Big Data, Knowledge and Control Systems Engineering 2023, Sofia, Bulgaria, 2/11/23. https://doi.org/10.1109/BdKCSE59280.2023.10339760

Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis. / Sarsam, Samer Muthana; Alias, Abd Aziz; Chit, Su Mon et al.
2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). IEEE, 2023. 10339760.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education

T2 - 8th International Conference on Big Data, Knowledge and Control Systems Engineering 2023

AU - Sarsam, Samer Muthana

AU - Alias, Abd Aziz

AU - Chit, Su Mon

AU - Al-Samarraie, Hosam

AU - Al-Hatem, Ahmed Isam

PY - 2023/12/11

Y1 - 2023/12/11

N2 - The Generative Artificial Intelligence chatbots (GAI chatbots) have emerged as promising tools in various domains, including higher education, so this study aims to investigate the role of Bard, a newly developed GAI chatbot, in higher education. English tweets were collected from Twitter's free streaming Application Programming Interface (API). The Latent Dirichlet Allocation (LDA) algorithm was applied to extract latent topics from the tweets. User sentiments were extracted using the NRC Affect Intensity Lexicon and SentiStrength tools. This study explored the benefits, challenges, and future implications of integrating GAI chatbots in higher education. The findings shed light on the potential power of such tools, exemplified by Bard, in enhancing the learning process and providing support to students throughout their educational journey.

AB - The Generative Artificial Intelligence chatbots (GAI chatbots) have emerged as promising tools in various domains, including higher education, so this study aims to investigate the role of Bard, a newly developed GAI chatbot, in higher education. English tweets were collected from Twitter's free streaming Application Programming Interface (API). The Latent Dirichlet Allocation (LDA) algorithm was applied to extract latent topics from the tweets. User sentiments were extracted using the NRC Affect Intensity Lexicon and SentiStrength tools. This study explored the benefits, challenges, and future implications of integrating GAI chatbots in higher education. The findings shed light on the potential power of such tools, exemplified by Bard, in enhancing the learning process and providing support to students throughout their educational journey.

KW - Bard

KW - Generative Artificial Intelligence chatbots

KW - higher education

KW - sentiment analysis

KW - topic modelling

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DO - 10.1109/BdKCSE59280.2023.10339760

M3 - Conference contribution

AN - SCOPUS:85182256053

BT - 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE)

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Y2 - 2 November 2023 through 3 November 2023

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Sarsam SM, Alias AA, Chit SM, Al-Samarraie H, Al-Hatem AI. Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis. In 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). IEEE. 2023. 10339760 doi: 10.1109/BdKCSE59280.2023.10339760

Exploring Public Opinions Toward the Use of Generative Artificial Intelligence Chatbot in Higher Education: An Insight from Topic Modelling and Sentiment Analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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