MATLAB-Boosted Smart Chatbots for Higher Education: Performance Analysis and Comparison 1. Matt Ervin G. Mital, 2. Carlo N. Romero 3. Ronaldo T. Tamayo 4. Mark Angelo M. Martinez
College of Engineering, Our Lady of Fatima University, Philippines
Abstract
Educational institutions are leaning towards innovative methods like smart chatbots to adapt in the rapid growth of technology. While Intelligent Tutoring Systems (ITS) offer personalized support, they suffer from slow responses, and inaccurate information. To overcome these limitations, MATLAB integration is considered to be a solution to improve both speed and accuracy.
The general objective of the study is to build a system that aims to provide basic answers to clients^ inquiries with the utilization of Artificial Intelligence (AI) and Natural Language Processing (NLP). Through MATLAB^s integration in chatbots, this will potentially enhance the chatbot^s capabilities
The researchers will create a chatbot that is capable of providing customer service by answering frequently asked questions and other school-related questions through the use of Natural Language Processing, Deep Neural Network, and MATLAB, for the enhancement of the chatbot^s capability in giving responses.
The results of the comparative analysis indicate that the integration of MATLAB significantly enhanced the chatbot^s capabilities- furthermore, MATLAB-enabled sentiment analysis allowed the chatbot to respond empathetically, aligning with user emotions.
MATLAB-boosted chatbots can provide students with 24/7 access to personalized support and guidance in higher education. Consequently, this can be useful for policy makers who are interested in promoting the use of technology in higher education.
Keywords: Artificial Intelligence (AI) Chatbots, Smart Bots, Deep Learning, Deep Neural Network
