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Efficient vocabulary training in higher education
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Effektiv glosinlärning på högskolenivå (Swedish)
Abstract [en]

A good vocabulary is a prerequisite for learning and practicing a second language. But to memorize words is hard work, still often done using pen and paper, and as an activity that is not prioritized in classroom education it is taken for granted that individual students take personal responsibility to learn them. This report discusses applications and ideas in the field of computer assisted language learning, the role of vocabulary when learning a language and theories in memory retention.

Wordalist, a learning tool developed by the author has been used since 2003 at several language departments at the Stockholm University. This report describes the process of upgrading Wordalist with new features that increase its efficacy and student learning efficiency by implementing a learning engine that adapts to the capacity of the individual student. 

Abstract [sv]

Ett bra vokabulär är en förutsättning för att lära sig och kunna praktisera ett andra språk. Men att memorera ord är ett slitsamt arbete, som än idag ofta genomförs med papper och penna, och en aktivitet som inte prioriteras i klassrummen utan ansvaret läggs i stort på den enskilda studenten. Denna rapport diskuterar applikationer och inriktningar inom datorstödd språkinlärning, vokabulärens roll i språkinlärningen och teorier inom effektiv memorering av kunskap.

Wordalist, ett inlärningsverktyg som utvecklats av rapportförfattaren har sedan 2003 i olika versioner använts på flera språkinstitutioner på Stockholms Universitet. I denna rapport beskrivs arbete att uppdatera Wordalist med ny funktionalitet som höjer plattformens verkan och studenternas inlärningseffektivitet genom implementation av en inlärningsmotor som anpassar sig efter enskilda studenters inlärningskapacitet och tempo. 

Place, publisher, year, edition, pages
2015.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-169430OAI: oai:DiVA.org:kth-169430DiVA: diva2:820942
Subject / course
Computer Science
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2015-06-29 Created: 2015-06-12 Last updated: 2015-06-29Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf