Deep Learning Self-Regulation Strategies in the Learning of English as a Foreign Language Among Arab College Students.

This study uses Panadero et al.'s (2021) Deep Learning Strategies Questionnaire to discover EFL learners' strategies from a new perspective. The questionnaire is a newly designed selfreport instrument with ground-breaking features constructed with validity and reliability to measure students' actual strategies in real situations. The current study is the first in an EFL context to use this innovative tool. It investigates self-regulation strategies for learning English as a foreign language (EFL) among 430 male EFL college students in Saudi Arabia. The questionnaire enabled us to adopt a micro-level inspection of strategy functions based on an innovative model that can help identify possible avenues for strategy interventions. The results mostly showed a high use of deep language learning strategies in all four questionnaire categories: basic learning, visual elaboration and summarizing, deep information processing, and social learning. Consequently, all the categories had a strong, positive, and significant correlation. In addition, the most used strategies were basic learning strategies, whereas the least used were visual elaboration and summarizing. Our findings provide useful pedagogical implications for promoting EFL learning strategies and strategy instruction. Successfully replicating the Deep Learning Strategies Questionnaire scrutinizes this methodological instrument's validity and reliability and encourages other researchers to use it. [ABSTRACT FROM AUTHOR]