Abstract
Conversational agents are natural language interaction interfaces designed to simulate human conversations using Artificial Intelligence (AI). This paper explores current applications of these systems and raises the lack of their availability in education. To address this problem, we provide the design of a conversational agent system, which is efficient and time-saving in assisting student/college seeking information about curriculum, scheduling, teachers, classroom location at any time 24/7/365. To verify and validate the design and implementation of our proposed model, a pilot project has been set up involving three leading academic institutions. This platform is designed and developed to help universities provide continuous and instant assistance to their student, staff, and faculty communities.
Highlights
Customer experience plays a vital role in any organization or institution to grow and serve its users
We provide the design of a conversational agent system, which is efficient and time-saving in assisting student/college seeking information about curriculum, scheduling, teachers, classroom location at any time 24/7/365
According to the education literacy report by United Nations International Children’s Emergency Fund (UNICEF) [2], globally youth literacy rate has improved and it has increased from 83% to 91% [3]
Summary
Customer experience plays a vital role in any organization or institution to grow and serve its users. Common efforts to address the lack of assistance and support have supported students with additional individual counselor outreach [5] or through automated, customized text message-based outreach [7]. We propose a smart virtual assistant using conversational agents technology to improve and enhance student assistance and support in academic institutions. The longstanding objective is to explore integration of an empowered version of the chatbot to become a part of a learning management system improving the student learning experience and playing the role of a virtual tutor. It presents the Software requirements analysis, design and architecture of the AI-Based virtual assistant using conversational agents.
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