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Knowledge Maximizer: Concept-Based Adaptive Problem Sequencing for Exam Preparation

机译:知识最大化器:用于考试准备的基于概念的自适应问题排序

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To support introductory Java programming students in preparing for their exams, we developed Knowledge Maximizer as a concept-based problem sequencing tool that considers a fine-grained concept-level model of student knowledge accumulated over the semester and attempts to bridge the possible knowledge gaps in the most efficient way. This paper presents the sequencing approach behind the Knowledge Maximizer and its classroom evaluation.
机译:为了支持入门级Java编程的学生为考试做准备,我们开发了Knowledge Maximizer,它是一种基于概念的问题排序工具,它​​考虑了整个学期所积累的学生知识的细粒度概念级别模型,并试图弥合可能存在的知识鸿沟。最有效的方法。本文介绍了知识最大化器及其课堂评估背后的排序方法。

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