Exploring Learner Engagement With Multiple Sources of Feedback on L2 Writing Across Genres
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ABSTRACT:
SUBMITTER: Shi Y
PROVIDER: S-EPMC8554298 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Research has indicated the integral role of self-efficacy in boosting learner engagement. Yet, little research on this issue has been conducted in the field of L2 writing. The purpose of this quantitative study is to explore how EFL learners’ L2 writing self-efficacy affects the level of their engagement with teacher and peer written corrective feedback (WCF). A sample comprising 227 Taiwanese senior high school students completed two questionnaires: the learner engagement with written corrective feedback scale and the L2 learners’ writing self-efficacy scale. The results showed that the participants self-reported a low-to-moderate level of L2 writing self-efficacy. In addition, when all three subtypes (i.e., ideation, conventions, and self-regulation) of L2 writing self-efficacy were taken into account, self-efficacy for writing self-regulation was the only variable with predictive power for learner engagement with teacher and peer written corrective feedback. The findings further our understanding of EFL learners’ L2 writing self-efficacy and of the under-researched topic of the relationship between L2 writing self-efficacy and learner engagement with written corrective feedback. Supplementary Information The online version contains supplementary material available at 10.1007/s40299-021-00591-9.
| S-EPMC8136109 | biostudies-literature
Project description:IntroductionFeedback from learners is known to be an important motivator for medical teachers, but it can be de-motivating if delivered poorly, leaving teachers frustrated and uncertain. Research has identified challenges learners face in providing upward feedback, but has not explored how challenges influence learners' goals and approaches to giving feedback. This study explored learner perspectives on providing feedback to teachers to advance understanding of how to optimize upward feedback quality.MethodsWe conducted semi-structured interviews with 16 learners from the MD program at the University of British Columbia. Applying an interpretive description methodology, interviews continued until data sufficiency was achieved. Iterative analysis accounted for general trends across seniority, site of training, age and gender as well as individual variations.FindingsLearners articulated well-intentioned goals in relation to upward feedback (e.g., to encourage effective teaching practices). However, conflicting priorities such as protecting one's image created tensions leading to feedback that was discordant with teaching quality. Several factors, including the number of feedback requests learners face and whether learners think their feedback is meaningful mediated the extent to which upward feedback goals or competing goals were enacted.DiscussionOur findings offer a nuanced understanding of the complexities that influence learners' approaches to upward feedback when challenges arise. In particular, goal conflicts make it difficult for learners to contribute to teacher support through upward feedback. Efforts to encourage the quality of upward feedback should begin with reducing competition between goals by addressing factors that mediate goal prioritization.
| S-EPMC10038106 | biostudies-literature
Project description:Engagement, a psychological individual difference variable with three facets (vigour, dedication and absorption), has recently attracted scholarly attention. Through a large-scale survey, we examined what we call 'L2 engagement' among 21,370 secondary school students in China, with an L2 engagement scale adapted from the Utrecht Work Engagement Scale (UWES)-student version. Factor analysis showed this scale to be empirically unidimensional with three highly intercorrelated facets and very high internal consistency; this contributes to our understanding of the conceptual challenges surrounding the construct of engagement (e.g., dimensionality) and the broader issue concerning the correspondence between empirical constructs and theoretical terms (e.g., engagement in our case). Hierarchical regression revealed that the selected sociobiographical variables (e.g., L2 proficiency) were linked to L2 engagement to varying degrees; adopting a more refined approach to gauge the unique contribution of a predictor to L2 engagement in hierarchical regression, we identified L2 proficiency, parental attention, study time and frequency of parental coaching as (very) important predictors for L2 engagement. We call for more studies to adopt our L2 engagement scale, a sufficiently valid and reliable instrument developed based on a large sample. We also propose a few future research directions (e.g., combining self-reports with other data sources).
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Project description:ProblemWritten feedback is often overly positive, nonspecific, and difficult to interpret. Learner satisfaction with written feedback is low and obtaining written feedback that encourages self-reflection is challenging. Improving feedback quality is laborious and only modestly effective.ApproachThe authors developed the LEAF (Learner-Engaged Analysis of Feedback) method to improve learner satisfaction with, and reflection on, existing written feedback. The method pairs a learner and coach to methodically identify themes in the learner's written feedback. Themes occurring more frequently or less frequently than typical offer areas for reflection, as they may identify learners' relative strengths or weaknesses. The method was introduced at the Massachusetts General Hospital in 2017 during program director (PD) meetings with anesthesiology residents. In 2018, resident satisfaction was measured (1 to 5 Likert-type questions, 1 = "not at all satisfied," 5 = "extremely satisfied") for 4 feedback sources, 2 related to the LEAF method (PD meetings, written feedback) and 2 unrelated (verbal feedback, mentor feedback). Residents' comments were qualitatively assessed to explore the impact on self-reflection.OutcomesResidents who had participated in a LEAF session (n = 54), compared with those who had not (n = 11), reported higher satisfaction with written feedback (mean 3.1 versus 2.5, d = 0.53, P = .03) and PD meeting feedback (mean 3.8 versus 2.8, d = 0.80, P = .03). There were no significant differences between groups for satisfaction with feedback unrelated to the LEAF method. Qualitative analysis of comments suggested that residents found the method useful for providing holistic self-assessment, facilitating goal setting, uncovering blind spots, and improving feedback interpretation.Next stepsNext steps should include studies determining if the association between increased learner satisfaction with written feedback and the LEAF method is causal, and whether this feedback process changes learners' subsequent behaviors.
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Project description:Based on a large behavioral dataset of music downloads, two analyses investigate whether the acoustic features of listeners' preferred musical genres influence their choice of tracks within non-preferred, secondary musical styles. Analysis 1 identifies feature distributions for pairs of genre-defined subgroups that are distinct. Using correlation analysis, these distributions are used to test the degree of similarity between subgroups' main genres and the other music within their download collections. Analysis 2 explores the issue of main-to-secondary genre influence through the production of 10 feature-influence matrices, one per acoustic feature, in which cell values indicate the percentage change in features for genres and subgroups compared to overall population averages. In total, 10 acoustic features and 10 genre-defined subgroups are explored within the two analyses. Results strongly indicate that the acoustic features of people's main genres influence the tracks they download within non-preferred, secondary musical styles. The nature of this influence and its possible actuating mechanisms are discussed with respect to research on musical preference, personality, and statistical learning.
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Project description:This study aimed to examine a theory-driven model to explain how language learner's trait emotional intelligence (TEI) and effort as two learner character strengths predict learner enjoyment as a positive emotion and anxiety and boredom as two negative classroom emotions, and how these variables, collectively, predict resilience in language learning. The underlying relationship between these variables was tested via a comprehensive model within a positive psychology perspective using the partial least squares structural equation modeling (PLS-SEM) approach. The paths in the final structural model indicated that L2 learner TEI did not significantly explain their resilience directly but rather completely indirectly through the mediation of learner negative and positive emotions. Learner effort, directly and indirectly, predicted L2 resilience and its predictive power in it was much larger than that of TEI. In addition, enjoyment and boredom directly influenced L2 resilience and also mediated the relationship between learner character strengths and resilience. Anxiety did not significantly predict learner L2 resilience directly since its influence was rather dependent on the role of enjoyment and boredom in L2 resilience. These findings widely support the claims within positive psychology domain that recognize the vital role of character strengths and learner emotions in enhancing L2 learner resilience.
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Project description:L2 writing in the disciplines at the university level can be impacted through classroom intervention which uses mixed pedagogical paradigms. In connection to such intervention, this data article presents two datasets, from a classroom practice, which evidence disciplinary writing acquisition. The first dataset consists of pre-and post-classroom intervention abstracts, written by L2 PhD students from different disciplines at a Sino-British University. The second dataset is made up of qualitative questionnaire responses from the students about their experiences of the classroom intervention. The datasets can be used to understand the nature of discourse-structural and linguistic feature changes which take place after pedagogical intervention involving mature learners from mixed disciplines. The data can also provide insight into the impact of classroom teaching approaches on the construction and communication of knowledge by novice writers in their disciplines.
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Project description:This study aimed to investigate the impact of demographic and contextual variables on boredom in English and mathematics, and to test structural models of boredom, learner burnout, learner engagement, and life satisfaction. Using a cross-sectional survey design and employing a convenience sampling technique, 544 secondary school learners in the Sedibeng District, Gauteng, South Africa, took part in the study. The participants completed the Achievement Emotions Questionnaire - English, the Achievement Emotions Questionnaire - Mathematics, the Schoolwork Engagement Inventory, the School Burnout Inventory, and the Satisfaction with Life Scale. Latent variable modeling was used to test measurement and structural models of boredom, burnout, engagement, and life satisfaction. The indirect effects of boredom on life satisfaction were also computed. The results showed that Afrikaans as the home language, the final mark for English in the previous examination, caregivers that cannot help with English homework, and disliking the English teacher predicted boredom in English. Afrikaans as the home language, marks for mathematics in the previous examination, not having the ability to focus on schoolwork at home, and disliking the mathematics teacher predicted boredom in mathematics. Boredom in mathematics and English resulted in an increase in learner burnout and a decrease in learner engagement. Furthermore, boredom in mathematics and English indirectly affected life satisfaction via learner burnout and engagement.
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