Exploring Perception of Trainee Teachers at the Malaysian Institute of Teacher Education towards Chatbot-Based Artificial Intelligence: ChatGPT

The widespread application of ChatGPT's artificial intelligence (AI) technology has brought about a transformation in education, especially at the higher education level. Looking at the development of integrating AI technology in education today, the way to obtain teaching and learning information has become easier and faster. This integration has formed futuristic learning. The study aims to explore the perception of trainee teachers at the Malaysian Institute of Teacher Education (MITE) towards Chatbot-based artificial intelligence, namely ChatGPT. The study methodology is quantitative, using a survey method. Data was obtained through a questionnaire instrument conducted on 194 trainee teachers at the Malaysian Institute of Teacher Education, Sarawak Campus who were randomly selected. The results of the study showed that the level of perception of MITE trainee teachers towards artificial intelligence (AI) Chatbot: ChatGPT was at a high level with an average mean of 4.02 and a standard deviation of 0.84. The results of the study also showed that trainee teachers had a moderate acceptance of the credibility-related dimension of ChatGPT as a reliable source of information with an average mean of 3.34 and a standard deviation of 0.91. In conclusion, the study has helped identify the level of perception of trainee teachers towards ChatGPT to meet the needs by enhancing its use in education. The implication of the study is that further exploration of the potential, benefits and challenges of AI technology such as ChatGPT in education based on futuristic learning should be carried out using various other research methods

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Publication Details

Journal
Progress in Computers and Learning
Published
2024-12-31
DOI
https://doi.org/10.37934/picl.1.1.3646
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Perception of Trainee Teachers at the Malaysian Institute of Teacher Education towards Chatbot-Based Artificial Intelligence: ChatGPT

Aisha Chang, Baity Bujeng, Angela Jau
Progress in Computers and Learning
Online Learning and Analytics
article

Exploring Perception of Trainee Teachers at the Malaysian Institute of Teacher Education towards Chatbot-Based Artificial Intelligence: ChatGPT

Aisha Chang, Baity Bujeng, Angela Jau
article en

Abstract

The widespread application of ChatGPT's artificial intelligence (AI) technology has brought about a transformation in education, especially at the higher education level. Looking at the development of integrating AI technology in education today, the way to obtain teaching and learning information has become easier and faster. This integration has formed futuristic learning. The study aims to explore the perception of trainee teachers at the Malaysian Institute of Teacher Education (MITE) towards Chatbot-based artificial intelligence, namely ChatGPT. The study methodology is quantitative, using a survey method. Data was obtained through a questionnaire instrument conducted on 194 trainee teachers at the Malaysian Institute of Teacher Education, Sarawak Campus who were randomly selected. The results of the study showed that the level of perception of MITE trainee teachers towards artificial intelligence (AI) Chatbot: ChatGPT was at a high level with an average mean of 4.02 and a standard deviation of 0.84. The results of the study also showed that trainee teachers had a moderate acceptance of the credibility-related dimension of ChatGPT as a reliable source of information with an average mean of 3.34 and a standard deviation of 0.91. In conclusion, the study has helped identify the level of perception of trainee teachers towards ChatGPT to meet the needs by enhancing its use in education. The implication of the study is that further exploration of the potential, benefits and challenges of AI technology such as ChatGPT in education based on futuristic learning should be carried out using various other research methods

Progress in Computers and LearningVol. 1(1)
Quality Education
Openalex Percentile: Top 73%
Online Learning and Analytics
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