AI Summary & Key Takeaways
AI InsightIt was found that learners’ ideal L2 self (high vs. low) influenced causalattributions, including ability, school system, teacher, family and classroom environment.
📌 3 Key Takeaways
Abstract
This study examines whether learners’ (high vs. low) ‘ideal L2 self’ exerts an effect on causal attributionsand which of these causal attributions could predict future L2 achievement. To this end, 1006 EFL studentswere invited from a state university in Ankara, Turkey. The data were collected with an attribution scalecomposed of 29 questions and with a questionnaire containing 10 items measuring learners’ ideal L2 self.The researchers also collected the students’ achievement scores to measure the predictive power of causalattributions. The impact of high and low ideal L2 self on causal attributions was analyzed throughMANOVA and the prediction power of these attributions for achievement was measured throughregression analysis using SPSS 23. It was found that learners’ ideal L2 self (high vs. low) influenced causalattributions, including ability, school system, teacher, family and classroom environment. It was also foundthat the attribution to effort, luck and ability are the best predictors of future exam scores of learners.These predictors could provide insightful implications for EFL teachers with regard to the actions they cantake in order to diagnose motivationally at-risk students and to boost their motivation through effectivedesigns of interventions embedded into the curriculum.