Challenges of Knowledge Component Modeling: A Software Engineering Case Study
8TH INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD '22)(2022)
摘要
To improve instruction, educators require greater visibility into the learning gains of individual students and the ability to adapt to resolve any learning gaps. A prerequisite to achieving such instruction is decomposing knowledge into small components that function as gradual steps for the learner's journey. However, decomposing a knowledge domain is not trivial, as instructors must overcome many practical challenges along the way. We report on our experience of knowledge component modeling for the clean code analysis and refactoring domain. We describe our method and list four challenges encountered during modeling and our solution for them. The resulting knowledge component inventory is a secondary contribution of the paper. These results can assist educators in planning and executing knowledge component modeling to refine their instruction and produce more significant learning gains in their students.
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关键词
knowledge component, intelligent tutoring systems, KLI, cognitive task analysis, clean code, refactoring
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