scholarly journals Incremental Intelligence Matters: How L2 Writing Mindsets Impact Feedback Orientation and Self-Regulated Learning Writing Strategies

2022 ◽  
Vol 51 ◽  
pp. 100593
Author(s):  
Jian Xu
2021 ◽  
Author(s):  
Manashi Gogoi Dutta ◽  
Uthaivan Danvivath

Abstract This research study has been conducted to experiment an innovative teaching approach believing that when less use of self-regulated learning strategy leads to lower metacognitive learning attitude which results in low proficiency. This study has investigated the consequences of instructionally aroused cognitive involvement load for self-monitoring and self-assessment through facilitation of metacognitive learning strategy use for improving L2 writing skills of Thai undergraduate students. This innovative instructional model for teaching self-regulated L2 writing has been named as Strategic Self-Regulated Metacognitive Activities or S2RMCA. The approach of this model has been developed to promote self-regulated learning management. For stimulating the use of learning strategies, a set of self-monitoring and self-evaluating assessment rubric named Strategy Inventories for Learning L2 Writing (SILL2W) has also been devised. A set of questionnaire, pre-post-tests, checklist, and interviews were employed for collecting and analyzing the data. Results of data analyses have shown effectiveness and feasibility of the S2RMCA model for teaching self-regulated L2 writing. Satisfactory results have also been shown by participants in their L2 writing skills. So far, research studies conducted on cognitive involvement load, a continuing challenge has always been there regarding the accurate measurement of load via self-reporting and this study has also faced that challenge.


Author(s):  
Mrs Manashi Gogoi Dutta, Et. al.

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.


Author(s):  
Maryumah H. Alanazi

The present study aims to examine the predictive effect of self-regulated writing strategies of students’ writing performance and explore the differences between higher and lower writing achievers in self-regulated writing strategies. A total of 202 English as a foreign language students at  the Northern Border University in Saudi Arabia volunteered to participate in this study. A Writing Strategies for Self-Regulated Learning Questionnaire and a Writing Test were administered to compare the differences between high and low writing proficient learners in Self-Regulated Learning. Pearson correlation coefficient, multiple regression analysis, and independent-samples t-test were calculated.  The results showed that both text processing and course memory strategies predicted the writing performance of the participants. Results also revealed significant differences in course memory and feedback handling strategies between higher and lower writing achievers. The findings also indicated a low relative contribution to the course memory and text processing in predicting writing performance. These strategies explained only 6.4% of the total variance of writing performance. Based on these findings, practical implications and recommendations for future research were provided.


2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.


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