Abstract
Education is an area where innovation moves slowly. In this study, we will propose a framework with a novel approach that will support the development of a multi-interactive chatbot’s system for an educational area using AIML 2.0. The system will facilitate the students for their learning towards an outcome-based education domain. The proposed framework will be composed of a user module which consists of user and user interface, chat agents module which will respond to the user query, chatbot KB which will act as the brain for the chatbot system, and socket system for establishing the communication link. Finally, the proposed system will be evaluated using a confusion matrix. The multichatbot communication system will support text-based dialogues on a limited set of questions related to education. However, the system will be implemented in java. The outcomes of this research will be useful for the education sector where these intelligent systems will help the students in schools, universities, and other training scenarios.
Highlights
AI deals with the development of intelligent systems which can think and act as humans. ere are various tasks that intelligent systems do, such as learning, planning, and speech recognition, while research related to AI is extremely specialized as well as technical.Chatbot is one of the types of intelligent systems which communicate with the user like a human through voice commands or text or both. ese chatbot systems are capable of generating an appropriate response or an appropriate action based on the user input. e quality of such kind of systems can be determined through the significance of their output which is being chosen by the chatbot in response
E first step of the research flow chart is to collect the domain data in order to train our chatbot system once we collect the data for our desired domain; we prepare a possible list of questions with their corresponding responses
E multichatbot system consists of the window with the text area reflecting the conversation and a textbox to introduce new requests so that the learners should be able to maintain the conversation with the proposed system to get better acurate results from this system
Summary
AI deals with the development of intelligent systems which can think and act as humans. ere are various tasks that intelligent systems do, such as learning, planning, and speech recognition, while research related to AI is extremely specialized as well as technical. Erefore, there is a need of a platform which supports multichatbot communication to facilitate learner in a group learning environment where they can be able to learn through interactions between human and chatbot and between the chatbots, where the single chatbot agent and multiple intelligent chat agents work together as a team to help leaners towards their educational problems. Is paper is split up into six major parts: in Section 2, we will explore existing chatbots; Section 3 will demonstrate the framework along with its implementation, tools, and techniques that will be used to accomplish the research work; Section 4 will illustrate the results and discussion which will describe how do multichat agents simulate conversation in a quiz style on Outcome Based Education; Section 5 will explain the assessment of our multiagent chatbot communication framework which will demonstrate the accuracy of the system, and Section 6 will bring a conclusion
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