Implicit learner assessment based on semantic relevance of tags
作者：
Highlights：
•
• Learners assessed by semantic distance of their tags and contents implicitly.
• To compute the semantic distance, WordNet ontology & WordNet similarity are used.
• Applying statistical keyword extraction component could save time and costs.
• TagAssessment could decrease stress of learners which is common in exam situation.
• Assigned tags will enrich the metadata of contents.
摘要
•Learners assessed by semantic distance of their tags and contents implicitly.•To compute the semantic distance, WordNet ontology & WordNet similarity are used.•Applying statistical keyword extraction component could save time and costs.•TagAssessment could decrease stress of learners which is common in exam situation.•Assigned tags will enrich the metadata of contents.
论文关键词：E-learning 2.0,Learner assessment,Tagging,WordNet,Web 2.0,Keyword extraction
论文评审过程：Received 27 April 2015, Revised 10 October 2015, Accepted 21 October 2015, Available online 13 November 2015, Version of Record 13 November 2015.
论文官网地址：https://doi.org/10.1016/j.chb.2015.10.027
