Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia

The pandemic COVID-19 has created a crisis in tertiary education sectors worldwide with significant impacts in Malaysia. It gives the challenge to students to cope with their new learning setup. However, with the help of technology such as AI chatbot, students can receive instant assistance in seeki...

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Published in:International Journal of Sustainable Development and Planning
Main Author: Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
Format: Article
Language:English
Published: International Information and Engineering Technology Association 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192253739&doi=10.18280%2fijsdp.190119&partnerID=40&md5=a3692886cc4a52abe8bd5c7ecee28346
id 2-s2.0-85192253739
spelling 2-s2.0-85192253739
Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
2024
International Journal of Sustainable Development and Planning
19
1
10.18280/ijsdp.190119
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192253739&doi=10.18280%2fijsdp.190119&partnerID=40&md5=a3692886cc4a52abe8bd5c7ecee28346
The pandemic COVID-19 has created a crisis in tertiary education sectors worldwide with significant impacts in Malaysia. It gives the challenge to students to cope with their new learning setup. However, with the help of technology such as AI chatbot, students can receive instant assistance in seeking and accessing information and limit the disruptions during online classes. Furthermore, the advancements in AI technology have led to improvements in natural language processing, enabling chatbots to engage in more natural interactions and provide better visual and audio representations. Therefore, the purpose of this study is to examine students’ acceptance on the effectiveness of AI chatbots to solve virtual class issues. The factors involved in this process were identified and include perceived ease of use, perceived usefulness, and perceived security. A total of 376 responses were taken into this study, and the data were analyzed using SPSS software. The results indicated that higher education authorities should focus on the effectiveness of AI chatbot by its perceived ease of use which has the highest significance value followed by perceived usefulness and perceived security as the less significance value. Findings were proved by testing through Pearson correlation coefficient and multiple linear regression. University authorities should provide students with basic techniques for learning, as well as sufficient understanding and teaching about the system's capabilities, which can help students' confidence in and willingness to adopt the technology. Copyright: ©2024 The authors.
International Information and Engineering Technology Association
17437601
English
Article
All Open Access; Hybrid Gold Open Access
author Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
spellingShingle Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
author_facet Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
author_sort Yahaya S.N.; Bakar M.H.; Jabar J.; Abdullah M.M.; Segaran Y.
title Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
title_short Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
title_full Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
title_fullStr Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
title_full_unstemmed Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
title_sort Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
publishDate 2024
container_title International Journal of Sustainable Development and Planning
container_volume 19
container_issue 1
doi_str_mv 10.18280/ijsdp.190119
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192253739&doi=10.18280%2fijsdp.190119&partnerID=40&md5=a3692886cc4a52abe8bd5c7ecee28346
description The pandemic COVID-19 has created a crisis in tertiary education sectors worldwide with significant impacts in Malaysia. It gives the challenge to students to cope with their new learning setup. However, with the help of technology such as AI chatbot, students can receive instant assistance in seeking and accessing information and limit the disruptions during online classes. Furthermore, the advancements in AI technology have led to improvements in natural language processing, enabling chatbots to engage in more natural interactions and provide better visual and audio representations. Therefore, the purpose of this study is to examine students’ acceptance on the effectiveness of AI chatbots to solve virtual class issues. The factors involved in this process were identified and include perceived ease of use, perceived usefulness, and perceived security. A total of 376 responses were taken into this study, and the data were analyzed using SPSS software. The results indicated that higher education authorities should focus on the effectiveness of AI chatbot by its perceived ease of use which has the highest significance value followed by perceived usefulness and perceived security as the less significance value. Findings were proved by testing through Pearson correlation coefficient and multiple linear regression. University authorities should provide students with basic techniques for learning, as well as sufficient understanding and teaching about the system's capabilities, which can help students' confidence in and willingness to adopt the technology. Copyright: ©2024 The authors.
publisher International Information and Engineering Technology Association
issn 17437601
language English
format Article
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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