Work

Development Of Conversational Agent To Enhance Learning Experience: Case Study In Pre University.

Year: 2021

Type: article

Abstract: Chatbot is an artificial intelligent application that can converse with a user through textual or auditory method. The chatbot can give a response \naccording to their characteristic and domain knowledge. This study aims to evaluate the use of chatbot named eLVA among students at the Centre for \nPre University Studies. A series of 10 questions was distributed to 40 students to evaluate the use of eLVA after they have experienced it. The results \nindicated that chatbot are most likely to be very helpful in teaching and learning because it has helped students getting an instant response. However, \nresults showed that the main reason for students to stop using chatbot involved getting incorrect information and worried about Chatbot making \nmistakes. The result further show that there is no significant difference in the use of eLVa between male and female students. The study also found that \nthere is no significant correlation between study program (Physical Sciences/Life Sciences) towards the use of eLVA.

Source: Unimas Institutional Repository (Universiti Malaysia Sarawak)

Authors: Nor Hayati Jaya, Nur Rasfina Mahyan, Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli, Wan Solehah Wan Ahmad

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W3129759157

FWCI: 0.219

Cites:

Cited by: 3

Related to: 10