Futuristic Opportunities and Challenges for Cognitive Tutoring Systems

Ninni Singh, Vinit Kumar Gunjan, M. Chaurasia
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Abstract

Across a systematic review of literature, ITS have shown a great potential emerging as systems offering learning to the learner, in a manner that best suits the learner. But the growth rate is affected by specific challenges that are proving to be limiting factors. There are reasonable number of possible mechanisms unexplored as of now, that can be implemented listing opportunities for future directions of research in this field. This paper emphasizes on these limiting factors, opportunities, and describes the existing intelligent feature incorporated in the Intelligent Tutoring System.
认知辅导系统的未来机遇与挑战
通过对文献的系统回顾,智能智能系统已经显示出巨大的潜力,作为一种以最适合学习者的方式向学习者提供学习的系统。但增长率受到特定挑战的影响,这些挑战被证明是限制因素。到目前为止,有相当数量的可能机制尚未被探索,这些机制可以实现,为该领域未来的研究方向列出了机会。本文着重分析了这些制约因素和机遇,并阐述了智能辅导系统所包含的现有智能特征。
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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