一个完整的基于聊天机器人的架构，用于回答用户在MOOC平台上与课程相关的查询

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI:10.1109/CCGE50943.2021.9776437

Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu

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引用次数: 1

摘要

自2008年首次推出mooc以来，它的优势吸引了全世界的关注，但也有人批评它的缺点。与教师的互动性和学习过程中的个性化体验是当前mooc显示出改进空间的一些主要方面。在本文中，我们提出了一种新的聊天机器人架构，它可以作为教学辅助来回答mooc学习者面临的问题。聊天机器人将使用流行的ALBERT模型在课程材料上进行训练，以开发其知识库。聊天机器人将回答大量学生的问题，从而减少教师回答所有问题的工作量。这将为讲师-聊天机器人-学习者的互动开辟一条新的途径，这三者将相互结合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Complete Chatbot based Architecture for answering user's Course-related queries in MOOC platforms

MOOCs, after first being introduced in 2008, have since drawn attention around the world for their advantages and also criticism of their drawbacks. Interactivity with the instructor and personalized experience while learning are some of the main aspects in which the current MOOCs show scope of improvement. In this paper, we are proposing a novel chatbot architecture that can act as teaching assistance to answer queries faced by learners in MOOCs. The chatbot will be trained on the course material using the popular ALBERT model to develop its knowledge base. The chatbot will answer a large number of student's queries, thus reducing the workload of the instructor(s) to answer all the queries. This will open a new avenue for instructor-chatbot-learner interaction, where all of these three will compound each other's value.

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2021 International Conference on Computing, Communication and Green Engineering (CCGE)

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