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Comparison of Machine Learning algorithms on detecting the confusion of students while watching MOOCs
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2022.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-22688OAI: oai:DiVA.org:bth-22688DiVA, id: diva2:1641701
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
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Available from: 2022-03-03 Created: 2022-03-03 Last updated: 2022-03-03Bibliographically approved

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Comparison of Machine Learning algorithms on detecting the confusion of students while watching MOOCs(1316 kB)2339 downloads
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File name FULLTEXT02.pdfFile size 1316 kBChecksum SHA-512
cb4562a24e9906d3681755b4b68f60fdd25d3c3b946ece3ce6615f109c6feae4ef722e2667cc80734aa1ca0740672d7a854acd4f23a66fc8b8cf99349fa71465
Type fulltextMimetype application/pdf

Computer Sciences

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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