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Orthography and Kanji Learning: A Comparison of Kanji Learning Methods in L2 Japanese Learners from Non-Logographic Sinosphere Backgrounds and Alphabetic Backgrounds
Dalarna University, School of Language, Literatures and Learning.
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study investigates the kanji learning strategies used by learners of Japanese from two non-logographic orthographic backgrounds within the Sinosphere (Korean and Vietnamese), and alphabetic-language-based backgrounds, and how the three groups compare to each other.

The study utilised data analysis techniques on data collected from 40 Japanese language learners via an online survey, and semi-structured interviews with four learners from Korea and Vietnam. The study found that Korean and Vietnamese learners benefit from first language kanji knowledge when learning to recognise Japanese kanji (particularly among Korean learners), and that common and preferred kanji learning methods differ between groups, with learners of alphabet-language backgrounds preferring methods from the planning learning and evaluating learning metacognitive strategies categories; and Korean and Vietnamese learners preferring association cognitive and planning learning metacognitive methods.

Place, publisher, year, edition, pages
2022.
Keywords [en]
Japanese writing system, kanji learning, character background, non-character background, Sinosphere, alphabetic background
National Category
Specific Languages
Identifiers
URN: urn:nbn:se:du-42778OAI: oai:DiVA.org:du-42778DiVA, id: diva2:1699575
Subject / course
Japanese
Available from: 2022-09-28 Created: 2022-09-28

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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