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ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics

机译：ElectronixTutor：具有多种电子学习资源的智能辅导系统

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Background The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics, electronics, and dynamical systems. After the teams shared their progress at the conclusion of an 18-month period, the ONR decided to fund a joint applied project in the Navy that integrated those systems on the subject matter of electronic circuits. The University of Memphis took the lead in integrating these systems in an intelligent tutoring system called ElectronixTutor . This article describes the architecture of ElectronixTutor, the learning resources that feed into it, and the empirical findings that support the effectiveness of its constituent ITS learning resources. Results A fully integrated ElectronixTutor was developed that included several intelligent learning resources (AutoTutor, Dragoon, LearnForm, ASSISTments, BEETLE-II) as well as texts and videos. The architecture includes a student model that has (a) a common set of knowledge components on electronic circuits to which individual learning resources contribute and (b) a record of student performance on the knowledge components as well as a set of cognitive and non-cognitive attributes. There is a recommender system that uses the student model to guide the student on a small set of sensible next steps in their training. The individual components of ElectronixTutor have shown learning gains in previous decades of research. Conclusions The ElectronixTutor system successfully combines multiple empirically based components into one system to teach a STEM topic (electronics) to students. A prototype of this intelligent tutoring system has been developed and is currently being tested. ElectronixTutor is unique in its assembling a group of well-tested intelligent tutoring systems into a single integrated learning environment.
机译：背景海军研究办公室（ONR）组织了一项STEM挑战计划，以探索如何在合理的时间内开发智能辅导系统（ITS），以帮助学生学习STEM主题。这项具有竞争力的计划赞助了四个团队，分别开发了涵盖数学，电子学和动力学系统主题的系统。在18个月的期限结束后，研究小组分享了他们的进展之后，ONR决定资助海军联合应用项目，该项目将这些系统集成在电子电路的主题上。孟菲斯大学率先将这些系统集成到名为ElectronixTutor的智能辅导系统中。本文介绍了ElectronixTutor的体系结构，提供给它的学习资源以及支持其ITS学习资源有效性的经验发现。结果开发了一个完全集成的ElectronixTutor，其中包括一些智能学习资源（AutoTutor，Dragoon，LearnForm，ASSISTments，BEETLE-II）以及文本和视频。该体系结构包括一个学生模型，该模型具有（a）电子电路上一组通用的知识组件，其中各个学习资源对其有贡献;（b）学生在该知识组件上的表现记录，以及一组认知和非认知属性。有一个推荐系统，该系统使用学生模型来指导学生进行培训中的一小部分明智的后续步骤。在过去的数十年研究中，ElectronixTutor的各个组件都显示出学习上的收获。结论ElectronixTutor系统成功地将多个基于经验的组件组合到一个系统中，以向学生教授STEM主题（电子）。该智能辅导系统的原型已经开发出来，目前正在测试中。 ElectronixTutor的独特之处在于将一组经过测试的智能辅导系统组装到一个集成的学习环境中。

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