Abstract
University websites and online portals are the primary means through which potential students and other stakeholders find important information about an institution. University websites are essential to these organizations’ marketing and communication efforts. In this paper, focus has been put on the need to complement these websites with the use of an AI Chatbot (UniBot) in order to serve more efficiently. This study aims at performing an extensive literature survey on intelligent conversational agents and the feasibility of applying them in enhancing online communication in universities. The study utilizes an iterative – incremental methodology to aid in design and development of UniBot, using AIML (Artificial Intelligent Markup Language) Pattern matching algorithm on the Pandorabot (AIAAS) platform, to generate high quality training data, with which, the agents Natural Language Understanding (NLU) model is trained. The study also provides for training and testing the agent using data which is acquired from Online Communication, University Website department at Kenyatta University.
Highlights
According to Melisa Perich (2015), a lot of research work has been done on Artificially Intelligent Systems to support education. Elis, Allen and Tuson (2010) argue that with the development of Artificial Intelligence, computer systems can complete or perform tasks that would require human intelligence at a much larger scale than we could on our own
This study aims at performing an extensive literature survey on intelligent conversational agents and the feasibility of applying them in enhancing online communication in universities
The study utilizes an iterative – incremental methodology to aid in design and development of use of an artificial intelligence (AI) Chatbot (UniBot), using AIML (Artificial Intelligent Markup Language) Pattern matching algorithm on the Pandorabot (AIAAS) platform, to generate high quality training data, with which, the agents Natural Language Understanding (NLU) model is trained
Summary
According to Melisa Perich (2015), a lot of research work has been done on Artificially Intelligent Systems to support education. Elis, Allen and Tuson (2010) argue that with the development of Artificial Intelligence, computer systems can complete or perform tasks that would require human intelligence at a much larger scale than we could on our own. According to Melisa Perich (2015), a lot of research work has been done on Artificially Intelligent Systems to support education. Intelligent Conversational Agents or Chatbots have being utilized in a number of ways. Companies like Paypal, Facebook and Tesla are increasingly relying on Artificially Intelligent Bots. Google has developed Google Assistant which is a virtual agent that can engage users in two-way conversations. From these advancements we can clearly see that there is a growth in Artificially Intelligent Conversational Agents or Chatbots adoption rate. Modern commercial chatbots offer more advanced development environments enabling the design and development of intelligent conversational agents with complex and goal driven behavior
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