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A study on the construction of artificial intelligence-based chatbot and the acceptance intention in educational service

This study introduces the case of building a chatbot system based on AI at the Metropolitan University and describes the result of analyzing the acceptance intention of that chatbot based on the Technology Acceptance Model. The acceptance intention of DanAI chatbot was surveyed through the questionnaire conducted to students participating in the chatbot open beta test. The questionnaire items were modified according to the chatbot context based on the items of the TAM precedent study. For the open beta test, we set up the chatbot promotional booth in the library and student building lobby, and explained to the students who visited the booth. A total of 193 students responded to the questionnaire. The perceived ease of use had a significant effect on both usefulness and playfulness, and all three variables were positively related to the attitude toward DanAI. The influence of perceived playfulness was found to be relatively larger than the usefulness and ease of use. The effect of attitude toward Dahn on intention to use the system was also analyzed as having a significant positive relationship. However, the perceived usefulness and perceived playfulness did not appear to have any significant effect on the intention to use DanAI(The effect of perceived usefulness on intention to use is significant at the 0.1 significance level. Through this study, we constructed an AI-based chatbot system for educational services and analyzed the acceptance of chatbot based on TAM. Education is a field that needs to be considered, such as users, personality, literacy, and competence. It is important to build a virtuous circle system that continuously accumulates high-quality data based on AI, learns data, and stores forecast results. It is necessary to design and service the chatbot system considering that education is an important field that determines the life of a person.

1. Introduction

2. Research Model Development

3. Method

4. Results

5. Conclusion

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