Designing Software for Learning Swedish: Method to Improve Oral Swedish with Learning Theory
2016 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
In recent years, the number of immigrants in Sweden has been increasing rapidly. To help immigrants integrate into the local society, the Swedish government provides a free Swedish course to immigrants (SFI). This study gathers the learning experiences of the newcomers in SFI courses and relates their learning experiences to teaching theories. The aim of this research is applying teaching methods into language learning software to explore how to improve oral Swedish for SFI students.
A qualitative method and inductive approach are used in this research. From the literature review, I created the theoretical framework which consisted of situational language teaching theory, motivation theory, previous research of mobile device and design theory. Qualitative data was collected by interview. 9 SFI students were interviewed with some questions which related to their own learning experience from SFI course and opinions about oral Swedish learning. Almost all respondents complained that SFI course is not provide enough opportunities for them to practice oral Swedish.
Based on the SFI students’ individually learning experience, they require more opportunities to communicate with other in Swedish and learn oral language. life-related learning materials, making Swedish friends and appropriate reward system can help students improve oral Swedish and promote learning motivation. The author summarized four tentative findings about oral Swedish learning software. These findings were analyzed and discussed with learning theories and finally verified. Recommendations of the author were put forward in the end of this research.
Place, publisher, year, edition, pages
2016. , p. 38
Keywords [en]
SFI course, Swedish, Immigrants, Situational language teaching, learning
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hv:diva-10699Local ID: EXI802OAI: oai:DiVA.org:hv-10699DiVA, id: diva2:1074797
Subject / course
Informatics
Educational program
Informatik
Supervisors
Examiners
2017-02-202017-02-162018-01-13Bibliographically approved