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Towards a Concept Inventory for Algorithm Analysis Topics

机译:迈向算法分析主题的概念清单

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We present initial results from our work towards developing a concept inventory for algorithm analysis (AACI) at the post-CS2 level. We used a Delphi process to identify a list of algorithm analysis topics that were considered both important and hard by surveying a panel of experienced instructors. Through a similar survey process, we identified a list of student misconceptions related to the identified topics. Based on this, a set of pilot AACI items were developed. We validated the misconceptions list by analyzing student responses to four administrations of the pilot AACI in two different universities during Fall 2015 and Spring 2016. Results revealed that a sufficient number of students held most of the misconceptions identified in the list.
机译:我们展示了我们在后CS2水平的算法分析(AACI)概念库存的初步结果。 我们使用了Delphi进程来识别算法分析主题列表,该主题通过测量有经验的教练进行调查,既考虑重要且艰难。 通过类似的调查过程,我们确定了与所识别的主题相关的学生误解列表。 基于此,开发了一套飞行员AACI项目。 我们通过分析2015年秋季和2016年春季在两所不同大学中分析了学生回应的误解清单。结果表明,有足够数量的学生持有列表中确定的大部分误解。

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