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Developing Authoring Tools for Simulation-Based Intelligent Tutoring Systems: Lessons Learned

机译:开发基于仿真的智能辅导系统的创作工具:经验教训

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Intelligent tutoring systems have a long history of significantly improving student performance. Unfortunately, they also have a long history of being very expensive to develop while producing very short shelf lives. To address these deficiencies, we developed and evaluated an authoring suite known as the Rapid Adaptive Coaching Environment (RACE). While developing RACE, we frequently encountered tension between maximizing the power of the intelligent tutoring system that authors would produce and minimizing the level of effort associated with producing this tool. In this paper, we will attempt to highlight this tension as we consider the five core design challenges that we addressed in the RACE prototype. We will review the formal and informal evaluations conducted by the development team and discuss how those evaluations led to the maturation of the design.
机译:智能辅导系统长期以来一直在显着提高学生的表现。不幸的是,它们还有很长的历史,即开发成本非常高,而货架期却非常短。为了解决这些不足,我们开发并评估了一套称为快速自适应教练环境(RACE)的创作套件。在开发RACE的过程中,我们经常遇到在最大程度地提高作者将要生产的智能辅导系统的功能与最小化与生产该工具相关的工作量之间的紧张关系。在本文中,当我们考虑在RACE原型中解决的五个核心设计挑战时,我们将尝试强调这种张力。我们将审查开发团队进行的正式和非正式评估,并讨论这些评估如何导致设计的成熟。

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