Abstract
The web-based personalized intelligent tutoring systems(ITSs) has been applied to computer programming education. However, in terms of system computerization, there are issues in existing systems: 1. The information used to describe student individual learning status is non-enough detailed, badly-defined for objective analysis, and difficult to be handled by computers. 2. The collection of student information can not be handled by computer automatically. 3. The adaptive content recommendation for individual learning can still not beautomatically provided by computer. In order to solve thoseproblems, authors have proposed SKP-LS (SKP based LearningStatus) for the description of personalized learning status. InSKP-LS, the described student learning status is based onthe set of understanding of SKPs of individual student, here, SKP is minimum C programming learning unit. This articlehas improved SKP-LS for the system computerization of web-based personalized programming ITSs to give individual studentsadaptive learning contents to read or exercise based on theirlearning status. The conducted experiment has proved the designof the system is feasible and the personalized recommendationalgorithm is correct and reasonable.
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