一个认知助手的发展,以学习安置援助的概念

R. D. Lakshmi, S. Abirami, M. Srivani
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引用次数: 0

摘要

认知助手帮助人类并增强他们解决大范围复杂任务的能力。本文的主要目的是开发一种教学认知助手,以提高推理能力和决策能力。该系统作为学生学习python编程语言的个人代理,已被实现。认知助手促进了与学生的自然互动,并运用人类推理技能来判断学生的能力并进一步训练他们。提出的技术包括问答分析器、基于断言图的动态学习计划生成和基于证据提取和推理生成的精确答案生成。认知对话提高了用户的满意度,很容易使他们与系统互动,并且比非交互式在线课程取得了显着更高的学习收益。采用置信度加权评分评价指标对系统进行评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Cognitive Assistant to Learn Concepts for Placement Assistance
A cognitive assistant helps the humans and enhance their capabilities to solve a large range of complex tasks. The main aim of this paper is to develop a pedagogical cognitive assistant to improve the reasoning abilities and decision making skills. The proposed system has been implemented to assist as a personal agent for students to learn python programming language. The cognitive assistant facilitates natural interactions with the students and it applies human reasoning skills to judge the students ability and train them further. The proposed techniques include Question Answer (QA) analyser, dynamic study plan generation by using assertion graph and accurate answer generation by using evidence extraction and inference generation. A cognitive conversation increases user’s satisfaction and easily engages them with the system and it has achieved significant higher learning gains than a non-interactive online course. The proposed system is evaluated by using the confidence weighted score evaluation metric.
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