EVALUATING STUDENTS’ ACCEPTANCE FACTORS ON CHATBOT FOR LEARNING USING UTAUT MODEL

Abstract

Past studies have shown that e-learning has been widely used in education. Nowadays, e-learning has become a culture for gaining knowledge online. The problem faced by conventional e-learning is the lack of student’s interest when they are using it. Therefore, some researchers have shown that Chatbot for learning has the potential to change the way students learn and search for information. Many students are aware of Chatbot technology, however, not many students have used it. Past research has indicated that only a few numbers of studies have been done on students’ acceptance of Chatbot in education. Besides, past research has indicated that the usage of Chatbot for learning is still insufficient. The first objective of this research is to identify the factors that influence students’ acceptance of Chatbot for learning while the second objective is to identify the most influential factor in students’ acceptance of Chatbot for learning. This research adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) research models which consist of constructs such as Performance Expectancy (PE), Effort Expectancy (EE), Lecturer’s Influence (LI), Behavioural Intention (BI) with two additional constructs which are Quality of Service (QS) and Personal Innovativeness (PI). A total of 303 respondents from different levels of education such as Diplomas, Degrees and Masters students from one of the public higher learning institutions in Selangor participated in this study. Pearson correlation was used for the first objective and multi-linear regression for the second objective. The findings from this study reveal that there are relationships between constructs such as PE, EE, LI, QS, PI with BI of students’ acceptance of Chatbot for learning and the most influential construct is EE. This research outcome will be one of the guidelines for higher learning institutions to consider the implementation of Chatbot for learning as a supplementary platform for e-learning.