Development and validation of the L2 grit scale in collective cultural context (L2GSC): evidence based on machine learning methods

• Published in: Journal of China Computer-Assisted Language Learning
• Main Authors: Gao, Kenan, Zhang, Juan, Wang, Yihui, Wu, Chenggang, He, Wei
• Format: Journal Article
• Language: English
• Published: 04.03.2025
• ISSN: 2748-3479; 2748-3479
• DOI: 10.1515/jccall-2024-0018

Prior research has demonstrated that in collectivist cultures (i.e., China and the Philippines), a Triarchic Model of Grit, encompassing perseverance of effort, consistency of interests, and adaptability to situations, can be more fitting. This study explores the concept of second language (L2) grit within a collectivist context, investigating its association with positive psychological constructs in L2 learning among Chinese college students studying English as a foreign language (n = 459). In this pursuit, a specialized grit scale tailored for language learning, the L2 Grit Scale in Collective Cultural Context (L2GSC), was developed and validated to assess the domain-specific grit of L2 learners. The findings based on hierarchical regression and machine learning methods revealed that L2GSC positively predicted learners’ enjoyment and engagement in language learning, exceeding the effects found with triarchic model of grit scale, suggesting that L2GSC is suited to collectivist cultures.