Matches in SemOpenAlex for { <https://semopenalex.org/work/W2108183197> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W2108183197 endingPage "472" @default.
- W2108183197 startingPage "463" @default.
- W2108183197 abstract "In this paper, we present the application of unsupervised learning techniques to automatically recognize behaviors that may be detrimental to learning during interaction with an Exploratory Learning Environment (ELE). First, we describe how we use the k-means clustering algorithm for off-line identification of learner groups with distinguishing interaction patterns who also show similar learning improvements with an ELE. We then discuss how a k-means on-line classifier, trained with the learner groups detected off-line, can be used for adaptive support in ELEs. We aim to show the value of a data-based approach for recognizing learners as an alternative to knowledge-based approaches that tend to be complex and time-consuming even for domain experts, especially in highly unstructured ELEs." @default.
- W2108183197 created "2016-06-24" @default.
- W2108183197 creator A5024712028 @default.
- W2108183197 creator A5057541630 @default.
- W2108183197 date "2006-01-01" @default.
- W2108183197 modified "2023-10-16" @default.
- W2108183197 title "Automatic Recognition of Learner Groups in Exploratory Learning Environments" @default.
- W2108183197 cites W1589525026 @default.
- W2108183197 cites W2028868392 @default.
- W2108183197 cites W2038241214 @default.
- W2108183197 cites W2064288400 @default.
- W2108183197 cites W2085924616 @default.
- W2108183197 doi "https://doi.org/10.1007/11774303_46" @default.
- W2108183197 hasPublicationYear "2006" @default.
- W2108183197 type Work @default.
- W2108183197 sameAs 2108183197 @default.
- W2108183197 citedByCount "45" @default.
- W2108183197 countsByYear W21081831972012 @default.
- W2108183197 countsByYear W21081831972013 @default.
- W2108183197 countsByYear W21081831972014 @default.
- W2108183197 countsByYear W21081831972015 @default.
- W2108183197 countsByYear W21081831972016 @default.
- W2108183197 countsByYear W21081831972017 @default.
- W2108183197 countsByYear W21081831972019 @default.
- W2108183197 countsByYear W21081831972020 @default.
- W2108183197 countsByYear W21081831972021 @default.
- W2108183197 countsByYear W21081831972022 @default.
- W2108183197 crossrefType "book-chapter" @default.
- W2108183197 hasAuthorship W2108183197A5024712028 @default.
- W2108183197 hasAuthorship W2108183197A5057541630 @default.
- W2108183197 hasConcept C107457646 @default.
- W2108183197 hasConcept C154945302 @default.
- W2108183197 hasConcept C15744967 @default.
- W2108183197 hasConcept C41008148 @default.
- W2108183197 hasConceptScore W2108183197C107457646 @default.
- W2108183197 hasConceptScore W2108183197C154945302 @default.
- W2108183197 hasConceptScore W2108183197C15744967 @default.
- W2108183197 hasConceptScore W2108183197C41008148 @default.
- W2108183197 hasLocation W21081831971 @default.
- W2108183197 hasOpenAccess W2108183197 @default.
- W2108183197 hasPrimaryLocation W21081831971 @default.
- W2108183197 hasRelatedWork W1993084869 @default.
- W2108183197 hasRelatedWork W2045456578 @default.
- W2108183197 hasRelatedWork W2278205256 @default.
- W2108183197 hasRelatedWork W2748952813 @default.
- W2108183197 hasRelatedWork W2883555950 @default.
- W2108183197 hasRelatedWork W2899084033 @default.
- W2108183197 hasRelatedWork W2918883224 @default.
- W2108183197 hasRelatedWork W3107474891 @default.
- W2108183197 hasRelatedWork W3204394973 @default.
- W2108183197 hasRelatedWork W3106945349 @default.
- W2108183197 isParatext "false" @default.
- W2108183197 isRetracted "false" @default.
- W2108183197 magId "2108183197" @default.
- W2108183197 workType "book-chapter" @default.