人工智能聊天机器人提高学生在高等教育平台的学习

Li Liu, Rama Subbareddy, C. G. Raghavendra
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引用次数: 3

摘要

人工智能集成聊天机器人为高等教育平台的学生定制学习体验。聊天机器人测试学生的答案,并为学生提供见解,以提高他们的学习技能。进一步提高学生在高等教育平台上的思维能力和期望值。高等教育平台对学生的要求因素包括:在非线性世界中进行互动学习的需要,提高学生的思维能力和期望。本文提出了一种基于人工智能的探究性评价学生学习系统(AI-IESLS),以增加非线性环境下的交互式学习体验。该系统的主要目的是利用聊天机器人中的概念映射来提高学生对特定主题的学习能力。此外,基于概念映射的概率分布分析,为学生验证了映射。此外,该系统生成的概率图曲线可以评估学生对课题的理解程度。利用AI-IESLS系统对学生的模拟结果进行了基于概念映射的分析,并与基于评估比、反馈、互易性、时序分析、期望比和主动学习因子的传统方法进行了关联分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Intelligence Chatbot to Improve Students Learning in the Higher Education Platform
The integrated chatbot for artificial intelligence customizes the learning experience for the students in higher education platform. The chatbot tests the answers of the students and offers insights for the students to improve their learning skills. Further, It helps to improve students’ thinking ability and expectations in higher education platform. The demanding factors for the students in the higher education platform include the need for interactive learning in a non-linear world, enhancing the thinking ability and expectations of the students. This paper proposes Artificial Intelligence Based Inquiry Evaluation Student Learning System (AI-IESLS) to increase interactive learning experience in a non-linear environment. The principal aim of this system is to improve the learning ability of the student on a specific subject using concept mapping in the chatbot. In addition, mapping has been validated for students based on the probability distribution analysis using a concept mapping. Besides, the probability graph’s curve generated by this system assesses the student’s understanding of the topic. The simulation results have been analyzed among students based on concept mapping using the AI-IESLS system in correlation with the traditional approach based on assessment ratio, feedbacks, reciprocity, timing analysis, expectation ratio, and active learning factor.
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