2011
DOI: 10.1007/978-3-642-24022-5_43
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Web Enabled Personalized Recommendation for Learning Paths and Experiences

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…An early approach to utilization of Semantic Web technology in PLE is found in Henze, Dolog, and Nejdl () who propose a framework for personalizing e‐learning through the use of ontologies and metadata‐markup of domains and users. In Huang, Liu, Tang, and Lu () focus has shifted towards supporting learning paths and experiences through automatic recommendation of learning content suited for the individual learner. They facilitate this automatic process with a system using three ontologies, which match data about what the authors characterize as the learners’ current knowledge and progress with courses and learning objects.…”
Section: Prevalent Themes Regarding Semantic Web In Formal Educationmentioning
confidence: 99%
“…An early approach to utilization of Semantic Web technology in PLE is found in Henze, Dolog, and Nejdl () who propose a framework for personalizing e‐learning through the use of ontologies and metadata‐markup of domains and users. In Huang, Liu, Tang, and Lu () focus has shifted towards supporting learning paths and experiences through automatic recommendation of learning content suited for the individual learner. They facilitate this automatic process with a system using three ontologies, which match data about what the authors characterize as the learners’ current knowledge and progress with courses and learning objects.…”
Section: Prevalent Themes Regarding Semantic Web In Formal Educationmentioning
confidence: 99%