Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387408097> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4387408097 endingPage "59" @default.
- W4387408097 startingPage "50" @default.
- W4387408097 abstract "The machine learning based prediction has been applied in various fields to solve different kind of problems. In education, the research on the predictions of examination results is gaining more attentions among the researchers. The adaptation of machine learning for the prediction of students’ achievement enables the educational institutions to identify the high failure rate, learning problems, and reasons for low student performance. This research is proposing the prediction of the Malaysian University English Test (MUET) results based on the K-Nearest Neighbour Algorithm (KNN). KNN is a powerful algorithm that has been applied in various prediction problems. The prediction of the MUET results would help the students and lecturers to be more well prepared and could improve the required English language skills accordingly before the actual examination. The MUET result prediction is based on the student’s English courses grades and there are 516 data of students’ results that have been collected from Universiti Teknologi MARA (UiTM) Dungun campus. The performance measurement that has been used are the mean accuracy, percentage error and mean squared error (MSE). In this research, the KNN prediction model has generated an acceptable performance with 65.29% accuracy. For future work, KNN could be modified or hybridized to further improve its performance. Furthermore, other algorithms could also be explored into this problem to further validate the best predictive model for the prediction of the MUET results." @default.
- W4387408097 created "2023-10-07" @default.
- W4387408097 creator A5025474245 @default.
- W4387408097 creator A5093018285 @default.
- W4387408097 date "2023-10-05" @default.
- W4387408097 modified "2023-10-08" @default.
- W4387408097 title "Prediction of MUET Results Based on K-Nearest Neighbour Algorithm" @default.
- W4387408097 cites W1635555684 @default.
- W4387408097 cites W2081434183 @default.
- W4387408097 cites W2091620917 @default.
- W4387408097 cites W2699041389 @default.
- W4387408097 cites W2765211991 @default.
- W4387408097 cites W2768951119 @default.
- W4387408097 cites W2787178215 @default.
- W4387408097 cites W2789269770 @default.
- W4387408097 cites W2791679061 @default.
- W4387408097 cites W2903228859 @default.
- W4387408097 cites W2943695427 @default.
- W4387408097 cites W2985924450 @default.
- W4387408097 cites W3006400243 @default.
- W4387408097 cites W3045232301 @default.
- W4387408097 cites W3109015346 @default.
- W4387408097 cites W3119451189 @default.
- W4387408097 cites W3134407038 @default.
- W4387408097 cites W4236162220 @default.
- W4387408097 cites W4237458212 @default.
- W4387408097 doi "https://doi.org/10.33166/aetic.2023.05.005" @default.
- W4387408097 hasPublicationYear "2023" @default.
- W4387408097 type Work @default.
- W4387408097 citedByCount "0" @default.
- W4387408097 crossrefType "journal-article" @default.
- W4387408097 hasAuthorship W4387408097A5025474245 @default.
- W4387408097 hasAuthorship W4387408097A5093018285 @default.
- W4387408097 hasBestOaLocation W43874080971 @default.
- W4387408097 hasConcept C105795698 @default.
- W4387408097 hasConcept C113238511 @default.
- W4387408097 hasConcept C11413529 @default.
- W4387408097 hasConcept C119857082 @default.
- W4387408097 hasConcept C124101348 @default.
- W4387408097 hasConcept C139945424 @default.
- W4387408097 hasConcept C154945302 @default.
- W4387408097 hasConcept C33923547 @default.
- W4387408097 hasConcept C41008148 @default.
- W4387408097 hasConceptScore W4387408097C105795698 @default.
- W4387408097 hasConceptScore W4387408097C113238511 @default.
- W4387408097 hasConceptScore W4387408097C11413529 @default.
- W4387408097 hasConceptScore W4387408097C119857082 @default.
- W4387408097 hasConceptScore W4387408097C124101348 @default.
- W4387408097 hasConceptScore W4387408097C139945424 @default.
- W4387408097 hasConceptScore W4387408097C154945302 @default.
- W4387408097 hasConceptScore W4387408097C33923547 @default.
- W4387408097 hasConceptScore W4387408097C41008148 @default.
- W4387408097 hasIssue "5" @default.
- W4387408097 hasLocation W43874080971 @default.
- W4387408097 hasOpenAccess W4387408097 @default.
- W4387408097 hasPrimaryLocation W43874080971 @default.
- W4387408097 hasRelatedWork W2051487156 @default.
- W4387408097 hasRelatedWork W2052122378 @default.
- W4387408097 hasRelatedWork W2053286651 @default.
- W4387408097 hasRelatedWork W2073681303 @default.
- W4387408097 hasRelatedWork W2102148524 @default.
- W4387408097 hasRelatedWork W2317200988 @default.
- W4387408097 hasRelatedWork W2544423928 @default.
- W4387408097 hasRelatedWork W2181413294 @default.
- W4387408097 hasRelatedWork W2181743346 @default.
- W4387408097 hasRelatedWork W2187401768 @default.
- W4387408097 hasVolume "7" @default.
- W4387408097 isParatext "false" @default.
- W4387408097 isRetracted "false" @default.
- W4387408097 workType "article" @default.