Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900642008> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2900642008 abstract "Aiming at the problem of “learning defiance” and “information overload” brought by educating big data to learners, this paper proposes an online learning community personalized learning path recommendation algorithm based on ant colony algorithm: in terms of computing pheromone, it combines individuality. Based on the characteristics of the learning path, a learning path scoring method based on multi-factor fuzzy evaluation is proposed to quantify the learning path evaluation as a score to solve the problem that it is difficult for the subjective score to accurately represent the pheromone concentration; in terms of pheromone updating rules, The introduction of pheromone restriction intervals avoids the problems associated with excessive or small learning path pheromone concentration in global updating; in the calculation of the selection probability of local search, the positive and negative feedback effects of pheromones can be better used. Search for a local optimal solution. The related experiments show that this algorithm can effectively solve the recommendation of the personalized learning path of the online learning community." @default.
- W2900642008 created "2018-11-29" @default.
- W2900642008 creator A5017333608 @default.
- W2900642008 creator A5018866860 @default.
- W2900642008 creator A5033269633 @default.
- W2900642008 creator A5034903351 @default.
- W2900642008 creator A5035282379 @default.
- W2900642008 creator A5054952134 @default.
- W2900642008 date "2018-11-19" @default.
- W2900642008 modified "2023-09-26" @default.
- W2900642008 title "Research on Learning Path Recommendation Algorithms in Online Learning Community" @default.
- W2900642008 cites W2031072803 @default.
- W2900642008 cites W2337506561 @default.
- W2900642008 cites W2558067512 @default.
- W2900642008 doi "https://doi.org/10.12783/dtetr/ecar2018/26367" @default.
- W2900642008 hasPublicationYear "2018" @default.
- W2900642008 type Work @default.
- W2900642008 sameAs 2900642008 @default.
- W2900642008 citedByCount "3" @default.
- W2900642008 countsByYear W29006420082020 @default.
- W2900642008 countsByYear W29006420082022 @default.
- W2900642008 crossrefType "journal-article" @default.
- W2900642008 hasAuthorship W2900642008A5017333608 @default.
- W2900642008 hasAuthorship W2900642008A5018866860 @default.
- W2900642008 hasAuthorship W2900642008A5033269633 @default.
- W2900642008 hasAuthorship W2900642008A5034903351 @default.
- W2900642008 hasAuthorship W2900642008A5035282379 @default.
- W2900642008 hasAuthorship W2900642008A5054952134 @default.
- W2900642008 hasBestOaLocation W29006420081 @default.
- W2900642008 hasConcept C11413529 @default.
- W2900642008 hasConcept C119857082 @default.
- W2900642008 hasConcept C154945302 @default.
- W2900642008 hasConcept C2777735758 @default.
- W2900642008 hasConcept C2986087404 @default.
- W2900642008 hasConcept C31258907 @default.
- W2900642008 hasConcept C41008148 @default.
- W2900642008 hasConcept C49774154 @default.
- W2900642008 hasConceptScore W2900642008C11413529 @default.
- W2900642008 hasConceptScore W2900642008C119857082 @default.
- W2900642008 hasConceptScore W2900642008C154945302 @default.
- W2900642008 hasConceptScore W2900642008C2777735758 @default.
- W2900642008 hasConceptScore W2900642008C2986087404 @default.
- W2900642008 hasConceptScore W2900642008C31258907 @default.
- W2900642008 hasConceptScore W2900642008C41008148 @default.
- W2900642008 hasConceptScore W2900642008C49774154 @default.
- W2900642008 hasIssue "ecar" @default.
- W2900642008 hasLocation W29006420081 @default.
- W2900642008 hasOpenAccess W2900642008 @default.
- W2900642008 hasPrimaryLocation W29006420081 @default.
- W2900642008 hasRelatedWork W2961085424 @default.
- W2900642008 hasRelatedWork W3046775127 @default.
- W2900642008 hasRelatedWork W3107474891 @default.
- W2900642008 hasRelatedWork W3209574120 @default.
- W2900642008 hasRelatedWork W4205958290 @default.
- W2900642008 hasRelatedWork W4285260836 @default.
- W2900642008 hasRelatedWork W4286629047 @default.
- W2900642008 hasRelatedWork W4306321456 @default.
- W2900642008 hasRelatedWork W4306674287 @default.
- W2900642008 hasRelatedWork W4224009465 @default.
- W2900642008 isParatext "false" @default.
- W2900642008 isRetracted "false" @default.
- W2900642008 magId "2900642008" @default.
- W2900642008 workType "article" @default.