Loading...
Publication
Interactive FAQ system in e-learning environment using chatbot
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 3.11 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
Durante os primeiros dias na universidade em um ambiente virtual de aprendizagem,
os alunos terão muitas dúvidas e confusão sobre o modelo pedagógico, notas de aprovação
e vários outros fatores. Essas perguntas tendem a se repetir a cada ano e um tutor responde
a essas perguntas individualmente. O aluno pode obter uma resposta após um número
mínimo de dias. Para resolver este problema, pretendemos criar um chatbot para responder
às FAQs durante os primeiros dias do semestre e fornecer o suporte necessário para os alunos
durante a fase de transição. As vantagens deste chatbot é que ele pode atender os alunos
instantaneamente 24 horas, 365 dias, independentemente do local, dia e fuso horário do
aluno. Outra vantagem é que aumenta a interação, o que proporciona uma sensação de apoio
aos alunos.
Chatbot é criado usando IBM Watson. Os diálogos necessários são alimentados no
Watson na forma de intents. Em seguida, um sistema de diálogo é projetado para se
comunicar com os alunos, conectando as intenções. Este serviço é então integrado ao
ambiente virtual de aprendizagem por meio de um plugin para ajudar os alunos a obter
respostas dentro do próprio ambiente de aprendizagem.
During the initial days in the university in a virtual learning environment, students will have lot of questions and confusion on the pedagogical model, pass marks and several other factors. These questions tend to repeat every year and a tutor replies to these questions individually. The student will get a response after a minimal number of days from the tutor. To solve this problem, we intend to create a chatbot to answer the FAQs during their initial days of the semester and to provide the necessary support for the students during the transition phase. Advantages of this chatbot is that it can provide answer to students’ queries instantly which is 24 hours, 365 days despite of the place, date and time zone of the student. Another advantage is that it enhances interaction which provides a feel of support to the students. Chatbot is created using IBM Watson. The necessary dialogues are fed into Watson in the form of intents. Then a dialog system is designed to communicate with students by connecting the intents. This service is then integrated into the virtual learning environment using a HTML block to help students by providing them support within learning environment itself.
During the initial days in the university in a virtual learning environment, students will have lot of questions and confusion on the pedagogical model, pass marks and several other factors. These questions tend to repeat every year and a tutor replies to these questions individually. The student will get a response after a minimal number of days from the tutor. To solve this problem, we intend to create a chatbot to answer the FAQs during their initial days of the semester and to provide the necessary support for the students during the transition phase. Advantages of this chatbot is that it can provide answer to students’ queries instantly which is 24 hours, 365 days despite of the place, date and time zone of the student. Another advantage is that it enhances interaction which provides a feel of support to the students. Chatbot is created using IBM Watson. The necessary dialogues are fed into Watson in the form of intents. Then a dialog system is designed to communicate with students by connecting the intents. This service is then integrated into the virtual learning environment using a HTML block to help students by providing them support within learning environment itself.
Description
Keywords
Elearning Agentes de conversação Bot de FAQ Chatbot Ambientes virtuais Serviços de apoio aos estudantes Conversational agents FAQ bot Student support system in education
Citation
Wesley, Anila - Interactive FAQ system in e-learning environment using chatbot [Em linha]. [S.l.]: [s.n.], 2020. 114 p.