Personalized Recommendation Learning Algorithm for Civil Engineering Curriculum

The Internet and the World Wide Web in particular provide a unique platform to connect learners with educational resources. Personalized curriculum sequencing is an important research issue for Web-based learning systems because no fixed learning paths will be appropriate for all learners. This paper propose a personalized recommendation approach for civil engineering curriculums based on collaborative filtering. This paper makes two critical contributions, firstly, it presents a civil curriculum item sequencing approach that will generate personalized curriculum item sequencing; secondly it illustrates the collaborative filtering to develop a summative examination or assessment analysis.