Chatbot Designed for Graduate Students’s Guidance Service
Sawanan Dangprasert
Sawanan Dangprasert*, Education Technology and Information Science Department, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand.
Manuscript received on October 06, 2020. | Revised Manuscript received on October 25, 2020. | Manuscript published on November 30, 2020. | PP: 154-160 | Volume-9 Issue-4, November 2020. | Retrieval Number: 100.1/ijrte.D4893119420 | DOI: 10.35940/ijrte.D4893.119420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main purpose of this study aimed to develop the chatbot designed for the graduate students’ guidance services, which were divided into two major phases: Phase 1: The development of chatbot designed for the graduate students’ guidance service, and Phase 2: The effects of chatbot’ s implementation for the graduate students’ guidance service. The data were statistically analyzed using mean, standard deviation and content analysis. The development of chatbot designed for graduate students’ guidance services conceptualized with the theory of design and the development of machine learning process together with the theory of flat “dialogflow”-called flat form technology taken from Google. In academic collaborations with graduate students studying at the master’s and doctoral levels, as well as the measurement and evaluation-related experts considered the suitability of the chatbot-oriented question and answer structures. Specifically, the educational technology and information technology-related experts’ tryout and evaluation were all implemented for its effectiveness of chatbots. The findings of the study revealed that all the aspects of the applications of chatbot, with its 𝑥 of 4.66 were rated at a very effective level as compared to all the aspects, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. On the other hands, the graduate students’ satisfactions on their graduate students’ chatbot services, with its 𝑥 of 4.52 were all rated at a very high level as compared to each aspect, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. The results of the study have shown that the chatbots designed to provide the graduate students’ advices were only one essential element that helped promote its research processaccording to comparing the correlations of thesis progress and the frequency use of chatbots. Also, in terms of designing the structures of questions with its answers, all the aspects of graduates’ instructional management should be extensively manifested for making them more effective.
Keywords: Chatbot, Machine Learning, AI, Line, Research Methodology.