About: Bridging Over from Learning Videos to Learning Resources Through Automatic Keyword Extraction

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Bridging Over from Learning Videos to Learning Resources Through Automatic Keyword Extraction
Creator	Hoppe, H Langner-Thiele, Angela Manske, Sven Schulten, Cleo
source	PMC
abstract	The presented system and approach facilitate intelligent, contextualized information access for learners based on automatic learning video analysis. The underlying workflow starts with automatically extracting keywords from learning videos followed by the generation of recommendations of learning materials. The approach has been implemented and investigated in a user study in a real-world VET setting. The study investigated the acceptance, perceived quality and relevance of automatically extracted keywords and automatically generated learning resource recommendations in the context of a set of learning videos related to chemistry and chemical engineering. The results indicate that such extracted keywords are in line with user-generated keywords and summarize the content of videos quite well. Also, they can be used as search key to find relevant learning resources.
has issue date	2020-06-10(xsd:dateTime)
bibo:doi	10.1007/978-3-030-52240-7_69
has license	no-cc
sha1sum (hex)	af3e8f22847caf8ab9a29764a90140f575638054
schema:url	https://doi.org/10.1007/978-3-030-52240-7_69
resource representing a document's title	Bridging Over from Learning Videos to Learning Resources Through Automatic Keyword Extraction
has PubMed Central identifier	PMC7334667
schema:publication	Artificial Intelligence in Education
resource representing a document's body	covid:af3e8f22847caf8ab9a29764a90140f575638054#body_text
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