An ontology-based tutoring chatbot framework for primary school students | |
| Author | Su Wai Myo |
| Call Number | AIT Thesis no.IM-21-03 |
| Subject(s) | Chatbots Ontology Educational technology Education, Elementary--Technological innoventions |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management |
| Publisher | Asian Institute of Technology |
| Abstract | Applications of chatbots in various sectors have been a trend since around a decade ago. Among diverse sectors, education is one of the sectors that use chatbots for many purposes, ranging from answering questions about the institution to checking students’ homework. Ac cording to previous studies and investigations of academic barriers of young learners in this study, it is still lacking in the area of answering students’ questions related to subjects’ con tent due to unbalanced student-teacher ratios in classes. Students have to wait their turn to get their answers, and teachers do not have enough time to answer all the students’ questions. Moreover, students do not get individual support due to big and overcrowded classes. There fore, the overall objective of this study is to develop a framework that can answer primary students’ questions. The study was conducted in five steps: expert interview, requirement specification, system design, development, and evaluation. The first step was conducting two interview sessions to identify academic barriers of primary students and questions types that are frequently asked by primary students. Based on the experts’ input, academic barri ers, functional and non-functional requirements were defined in the second step. In the third step, the most critical part of this study, Subject Ontology(SO) was modeled, and the system architecture of the SubBot framework was designed as well. SubBot framework was devel oped and implemented in the fifth step, system development. Lastly, eight primary teachers evaluated the SubBot framework. All the suggestions were positive, even though some users believed that some students might struggle using SubBot. They concluded that at least 85 percent of students will feel satisfied with the answers returned by the SubBot bot. Our contributions in this study are twofold. Firstly, we modeled Subject Ontology(SO) for the knowledge base of the SubBot framework. Secondly, we developed the SubBot framework for supporting primary school students. In the SubBot framework, a teacher can manage subject knowledge so that SubBot can answer students’ questions. |
| Year | 2021 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Chutiporn Anutariya |
| Examination Committee(s) | Vatcharapron Esichiakul;Chaklam Silpasuwanchai |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |