TUtor Collaborator Using Multi-Agent System

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.

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“…Alencar and Netto [19] developed TUCUMA, an intelligent virtual agent that carries out the tracking of students in the virtual environment.…”

Section: Related Workmentioning

confidence: 99%

Framework for Educational Domain-Based Multichatbot Communication System

Memon

Aghian

Sarfraz

et al. 2021

Scientific Programming

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Virtual Companions and 3D Virtual Worlds: Investigating the Sense of Presence in Distance Education

Krassmann

Nunes²,

Bessa

et al. 2019

Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration

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Exploring agent-based chatbots: a systematic literature review

Calvaresi

Eggenschwiler

Mualla

et al. 2023

J Ambient Intell Human Comput

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In the last decade, conversational agents have been developed and adopted in several application domains, including education, healthcare, finance, and tourism. Nevertheless, chatbots still need to address several limitations and challenges, especially regarding personalization, limited knowledge-sharing capabilities, multi-domain campaign support, real-time monitoring, or integration of chatbot communities. To cope with these limitations, many approaches based on multi-agent systems models and technologies have been proposed in the literature, opening new research directions in this context. To better understand the current panorama of the different chatbot technology solutions employing agent-based methods, this Systematic Literature Review investigates the different application domains, end-users, requirements, objectives, technology readiness levels, designs, strengths, limitations, and future challenges of the solutions found in this scope. The results of this review are intended to provide researchers, software engineers, and innovators with a complete overview of the current state of the art and a discussion of the open challenges.

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TUtor Collaborator Using Multi-Agent System

Cited by 5 publications

References 18 publications

Framework for Educational Domain-Based Multichatbot Communication System

Framework for Educational Domain-Based Multichatbot Communication System

Virtual Companions and 3D Virtual Worlds: Investigating the Sense of Presence in Distance Education

Exploring agent-based chatbots: a systematic literature review

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