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The Future of Adaptive Tutoring: Wrangling Complexity across Domains, Applications, and Platforms

机译:自适应辅导的未来:跨域,应用程序和平台的复杂性

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The purpose of this panel is to discuss current directions in research and design of adaptive tutoring, andthe need for a method to uniformly describe tutors within this growing field. Discussions will focus on theincreasing complexity of individual tutors, as well as how tutors could be categorized through identificationof relevant, constituent parts. A standardized taxonomy would provide the foundation for establishing aquantifiable metric of complexity, which could then be used to compare vastly distinct tutors to oneanother. Applications of such a metric also include evaluating tutor effectiveness with respect to learningoutcomes, comparing capabilities / usability of different adaptive tutor authoring tools, and providing moreaccurate estimates of the time required to develop an hour of tutoring. Individual elements of tutoring to bediscussed within the context of this framework include team tutoring, psychomotor tutoring, multi-platformarchitectures, personalized tutoring, and authoring complexity.
机译:该小组的目的是讨论自适应辅导的研究和设计的当前方向,以及在这种不断发展的领域中对统一描述辅导者的方法的需求。讨论将集中在个别导师日益复杂的问题上,以及如何通过识别相关的组成部分来对导师进行分类。标准化的分类法将为建立量化的复杂性度量标准提供基础,然后可将其用于将极为不同的导师相互比较。这种度量的应用还包括评估关于学习成果的导师有效性,比较不同的自适应导师创作工具的能力/可用性,以及提供开发一个小时的导师所需时间的更准确估计。在此框架内讨论的补习的各个要素包括团队补习,心理运动补习,多平台体系结构,个性化补习和创作复杂性。

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