Overview of Intelligent Tutoring System in Human Teamwork and Its Impact Generally on Learning

Chidi Ukamaka Betrand, S. Anigbogu, S. A. Okolie
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引用次数: 2

Abstract

Teams can be depicted in many organizations and is becoming increasingly used for effective and efficient productivity. Teams work as the collection of individuals that have different skills to complement each other rather than compete, their driving force is to achieve a common goal by inculcating strategical approaches of which they are held accountable. This, helps in maximizing general output, however the need of its incorporation in learning. This study presents an overview of Intelligent Tutoring System and its impact generally on learning. A review of previous works done on this area was also inculcated in this study highlighting their importance and relevance. Intelligent Tutoring System (ITS), been a machine intelligence learning paradigm. This research explores and unveils what an intelligent tutoring system is all about and its role in learning. The work also covers how intelligent tutoring system has enhanced learner’s skill and performance. In conclusion, the massive effects of intelligent tutoring system on the learning process are acknowledged.
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人类团队智能辅导系统综述及其对学习的影响
团队可以在许多组织中描述,并且越来越多地用于有效和高效的生产力。团队是一群拥有不同技能的人的集合,他们相互补充而不是竞争,他们的动力是通过灌输他们负责的战略方法来实现共同的目标。这有助于最大限度地提高总体产出,但需要将其纳入学习。本研究概述了智能辅导系统及其对学习的影响。本研究还回顾了在这一领域所做的先前工作,强调了它们的重要性和相关性。智能辅导系统(ITS),一直是机器智能学习的典范。本研究探索并揭示了什么是智能辅导系统及其在学习中的作用。研究还涵盖了智能辅导系统如何提高学习者的技能和表现。总之,智能辅导系统对学习过程的巨大影响是公认的。
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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
21
期刊介绍: Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
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