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Just Enough Fidelity in Student and Expert Modeling for ITS Making the Practice Practical

机译:只有足够的忠诚于学生和专家建模,使实践实用

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Intelligent Tutoring Systems (ITSs) are usually comprised of three primary models - an expert model, a domain or system model, and a student model. Many of these models are quite complex to enable just about any learner to get the optimum tailored experience possible. These systems have shown great results, typically at least one standard deviation (a letter grade) better than traditional training (e.g. [1] [2]). This complexity not only ensured that ITSs were successful, it also prohibited their widespread use (e.g. [3]). Results of studies in which the expert and system models were simplified show similar gains in effectiveness (e.g. [4] [5]), suggesting that lower-cost ITSs can be just as effective as those developed at higher costs. This paper compares the results of effectiveness studies in which the ITSs had various levels of fidelity and presents some recommended guidelines in determining the level of fidelity for student, expert, and system models of the ITS.
机译:智能辅导系统(ITS)通常由三个主要模型组成 - 专家模型,域或系统模型以及学生模型。这些模型中的许多型号非常复杂,以便在任何学习者中才能获得最佳的定制体验。这些系统已经显示出优点,通常比传统训练更好地具有至少一个标准偏差(例如字母等级)(例如[1] [2])。这种复杂性不仅确保其成功,它还禁止广泛使用(例如[3])。简化专家和系统模型的研究结果表明了有效性的类似收益(例如[4] [5]),表明其降低成本可以与以更高成本开发的成本一样有效。本文比较了有效性研究的结果,其中其具有各种级别的保真度,并提出了一些推荐的指导方针,以确定其学生,专家和系统模型的保真度水平。

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