Design an Intelligent System to automatically Tutor the Method for Solving Problems

Abstract

Nowadays, intelligent systems have been applied in many real-word domains. The Intelligent chatbot is an intelligent system, it can interact with the human to tutor how to work some activities. In this work, we design an architecture to build an intelligent chatbot, which can tutor to solve problems, and construct scripts for automatically tutoring. The knowledge base of the intelligent tutoring chatbot is designed by using the requirements of an Intelligent Problem Solver. It is the combination between the knowledge model of relations and operators, and the structures of hint questions and sample problems, which are practical cases. Based on the knowledge base and tutoring scripts, a tutoring engine is designed. The tutoring chatbot plays as an instructor for solving real-world problems. It simulates the working of the instructor to tutor the user for solving problems. By utilizing the knowledge base and reasoning, the architecture of the intelligent chatbot are emerging to apply in the real-world. It is used to build an intelligent chatbot to support the learning of high-school mathematics and a consultant system in public administration. The experimental results show the effectiveness of the proposed method in comparison with the existing systems.

Ontology-based Integration of Knowledge Base for Building an Intelligent Searching Chatbot

“…The main goal of an intelligent chatbot is to be a virtual companion to users by providing necessary information in response to their requests. (18) Nowadays, chatbots have become popular in society due to the development of AI technologies, for example, natural language processing, (19) IR, (20) knowledge engineering, (12,16,21) and empathic conversational systems. (13,22) However, these chatbots are not effective in searching for educational knowledge to support studying based on the semantics of queries inputted through a conversation.…”

“…In education, chatbots are useful tools for students to make inquiries when applying to university, (24) to tutor students how to solve exercises, (11,12) and to search for knowledge required by students. (25) The educational applications have pedagogical criteria to supply knowledge useful for courses.…”

“…Moreover, conversation systems have also been applied to provide information about public services, such as Chatbot 1022 in Danang City (Vietnam), (8) airport chatbots, (9) intelligent chatbots providing a method of solving mathematical problems, such as Mathway, (10) and tutoring chatbots for high-school mathematics. (11,12) Some communication chatbots are designed by using information retrieval (IR)-based models that mine human chats or human-machine chats, such as XiaoIcle (13) and Cleverbot. (14) These chatbot models choose a response by taking the user's query and finding a (tf-idf) similar query in the dataset; (15) after that, they take whatever the response was to that query.…”

Codebot – A Vietnamese Chatbot System for Answering C++ and Python-Related Questions

“…The first one was about developing a lead engagement chatbot in the real estate sector (Quan, et al, 2018). Another one was about developing a high school tutor chatbot, which provides students with hints to their problems instead of any direct solution (Nguyen, Tran, Do, & Pham, 2020).…”

Khám phá các yếu tố bất động sản tác động đến quyết định mua và ứng dụng thiết kế hệ thống thông minh hỗ trợ tư vấn chọn bất động sản

“…Sau àoá , caá c giaá trõ cuã a caá c thuöå c tñnh àûúå c trñch xuêë t, kïë t húå p caá c suy luêå n vúá i caá c luêå t trong Rules cust àïí quyïë t àõnh nhoá m cuã a khaá ch haâ ng hiïå n taå i. Chi tiïë t cho giaã i phaá p vêë n àïì 1 àaä àûúå c trònh baâ y trong[18].Sau khi xaá c àõnh àûúå c nhoá m cuã a ngûúâ i duâ ng, hïå thöë ng thu thêå p yïu cêì u tûâ tòm kiïë m cuã a ngûúâ i duâ ng, vaâ sûã duå ng nhûä ng luêå t trong Rules house àïí tòm ngöi nhaâ àaá p ûá ng ngûúâ i duâ ng. Danh saá ch caá c saã n phêí m àïì xuêë t hûúá ng àïë n nhu cêì u thûå c tïë cuã a cuã a khaá ch haâ ng, do àoá , caá c saã n phêí m trong danh saá ch naâ y coá thïí laâ möå t lûå a choå n töë t mùå c duâ noá coá thïí khöng hoaâ n toaâ n khúá p vúá i caá c yïu cêì u do khaá ch haâ ng àûa vaâ o hïå thöë ng[18,19]. Quaá trònh tû vêë n viïå c choå n BÀS àûúå c thûå c hiïå n nhû sau:.…”