0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAccording to self-determination theory, the need to experience competence is one of a well-recognized trio of basic psychological needs, alongside the need for autonomy and relatedness. Although often assessed at the activity level, the need for competence is met situationally when learners feel able to understand and affect the world around them. In language learning, this means the feeling of success firstly in the comprehension and then in the use of the new language. This situated, contextual sense of competence helps explain the complex and dynamic development of motivation within the language learner. In this review, we focus on the need for competence as it applies both theoretically and empirically to the study of learning a new language. Building on scholarship showing that competence need satisfaction is a powerful correlate of motivation in education generally, we survey the evidence for competence need satisfaction as a specific predictor of language learning motivation and achievement, with directions for future exploration. We present a thought experiment for new methods and approaches to the measurement of competence in classrooms.
W. L. Quint Oga-Baldwin, Richard M. Ryan (2025). Competence need satisfaction in language learning (and beyond): Current state of the evidence and directions for exploration. , 15(2), DOI: https://doi.org/10.14746/ssllt.48236.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
2
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.14746/ssllt.48236
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access