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Learning Self-regulated L2 WritingUnder a Cognitive Model
Author(s) -
Et. al. Mrs Manashi Gogoi Dutta
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i4.526
Subject(s) - metacognition , rubric , self regulated learning , cognition , set (abstract data type) , psychology , mathematics education , cognitive load , checklist , computer science , cognitive psychology , neuroscience , programming language
This innovative approach of teaching L2 writing was experimentedbelieving that using a fewer self-regulated learning strategymay lead toweakmetacognitive learning attitude resulting in low proficiency.This research wasconducted to investigate the consequences of instructionally aroused cognitive involvement load for using self-regulated and metacognitive learning strategies to improve L2 writing skills. The innovative L2 writing instructional model of this study has been named as Strategic Self-Regulated Metacognitive Activities or S2RMCA.The approach of this model is to promoteself-regulated learning managementby learners. Forarousing the use of learning strategies, a set of self-monitoring and self-evaluatingassessment rubric namedStrategy Inventories for Learning L2 Writing(SILL2W)has also been designed. For collecting and analyzingthe data a questionnaire, pre-post-tests, checklist, and interviews wereutilized. Outcomes of data analyses have shownusefulness and practicality ofthe S2RMCA model for teaching self-regulated L2 writing. Acceptable resultshave also beenshownby participants intheir L2 writing skills. In research studies conducted on cognitive load, accurate measurement of load viaself-reporting has been a persistingquestion and this study has notbeen different from the onesthat have faced the challenge.

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