Interview Data on Sustainable Bilingual Learning Ecosystem in South Korean Universities

Fengqin Jin published a qualitative research dataset on figshare in May 2026. The dataset contains interview transcripts from 20 participants (10 teachers and 10 students) at two universities in Gyeongsangbuk-do, South Korea. The data was analyzed to explore teacher and peer support mechanisms within a sustainable bilingual learning ecosystem.

Use Cases

• Qualitative analysis of teacher support mechanisms based on interview data.
• Studying the relationship between peer support and student self-efficacy based on described psychological constructs.
• Modeling sustainable bilingual learning ecosystems based on the identified core characteristics.
• Investigating intercultural psychological safety in language learning contexts based on the described findings.

Strengths

• Data is licensed under CC-BY-4.0, allowing for broad reuse.
• The study is grounded in a specific theoretical framework (Education for Sustainable Development) and aligned with SDG 4.7.
• The research design involved semi-structured interviews with 20 participants.

Limitations

• The dataset is a 26.9 KB DOCX file, suggesting limited scope and likely containing only processed analysis or summaries rather than raw transcripts.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• The data is from a specific geographic context (two universities in South Korea), which may limit generalizability.

Provenance

Source

Fengqin Jin via figshare.

Collection Method

Semi-structured interviews analyzed using constructivist grounded theory and three-level coding.

Freshness

Last updated 2026-05-14 05:43:30; freshness should be verified.

Geography

Gyeongsangbuk-do, South Korea.