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- W2103167768 abstract "Our work on courseware involves generating problems to test a user’s learning. V~re propose to generate these problems dynamically in order to present azl endless supply of problems to the user. In order to faeilitate the user’s learning, we waz~t to vary the of the dynamically generated problems. Our current task is to identify a measure of in problems on a topic, so that wc can systematize and automate variations in the challenge of dynamically generated problems. We propose to use a measure of of problems based on analysis of the knowledge/ability necessary to solve problems in a given domain. By limiting such knowledge/ability to the minimum necessary to solve a problem, ~ attempt to avoid counting as evidence of learning, any serendipitous solving of problems. In this paper, we analyze two different problem domains in Operating Systems in an attempt to derive measures of for problems in those domains: storage placement, and proce~or scheduling. For these domains, we identify taxonomies of problems based on the minimum knowledge/ability required to solve them. We tentatively generalize the taxonomies to derive a measure of for a class of scheduling problems dealing with discrete quantities." @default.
- W2103167768 created "2016-06-24" @default.
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- W2103167768 date "1998-05-18" @default.
- W2103167768 modified "2023-09-28" @default.
- W2103167768 title "Problem Generation: Evaluation of Two Domains in Operating Systems" @default.
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