Feedback agency is a key concept in enhancing student writing performance. While growing attention has been paid to student feedback agency, existing research remains largely theoretical and qualitative. As a result, there is a lack of psychometrically supported instruments to measure this construct. To address this gap, the present two-phase study aimed to develop and evaluate a Student Feedback Agency Scale (SFAS), drawing on social cognitive theory. In the development stage, Principal Component Analysis (PCA) was conducted on a sample of 235 Chinese international postgraduate students. The results yielded a 23-item SFAS comprising six components: Action Taking, Goal Setting, Processing, Generating, Self-efficacy, and Seeking. Using an independent sample of 349 participants from the same population, Confirmatory Factor Analysis (CFA) was conducted in the evaluation stage. The results supported a good model fit (RMSEA = .055, IFI = .923, TLI = .908, and CFI = .922). Multi-group CFAs further confirmed the structural invariance across gender, academic level, and discipline. Overall, the findings provide psychometric evidence to support the interpretation and use of the SFAS scores to measure student agency in writing feedback processes. Based on these results, the factor structure and subscales of the SFAS are discussed, and implications are outlined.

Using a multiple case-study approach, this study investigated the dynamics of peer interactions that took place through Microsoft Copilot among six pairs ( n  = 12) of ESL learners, focusing on their interaction patterns, use of semiotic and multimodal resources, and functions of languaging. Our analyses illustrated that four pairs displayed collaborative orientation, one pair demonstrated an expert-novice pattern, and one pair exhibited a dominant-passive pattern. It was also found that while the collaborative group students focused more on text search and revision, the expert-novice group and the dominant-passive group allocated more time to image generation. Furthermore, in terms of languaging functions, our results revealed that all six pairs of students spent most of their time negotiating writing content. Our study has implications for technology-enhanced multimodal writing pedagogy in a generative artificial intelligence machine-in-the-loop setting.

Second language (L2) writers’ capacity to reason about language choices during revision is theoretically central to advanced writing development, yet few studies trace how this linguistic reasoning emerges in repeated feedback-revision cycles that integrate teacher and AI suggestions. This multi-case, longitudinal mixed-methods study examined how ten L2 learners enacted metalinguistic strategies and developed linguistic reasoning across a 12-week online Academic English program. Triangulated data sources included 1246 feedback revision episodes, pre-post reasoning-task responses, and semi-structured exit interviews. We operationalized linguistic reasoning as the processual construct of interest and treated metalinguistic strategies as observable indicators; reasoning responses were scored with a three-dimensional analytic rubric while revisions and interaction logs were coded thematically and by strategy. Results show a systematic shift from early, correctness-focused edits toward later revisions characterized by coordinated structural comparison, more explicit self-explanation, and integrative argumentation; composite reasoning scores increased, with the largest gains observed on depth of explanation. Process analyses identified recurrent patterns in which alternative-rich feedback coincided with comparison moves, partially divergent suggestions often coincided with more explicit self-explanation, and integrative argumentation involving discourse-level revision became more visible over time. Pedagogical implications are also discussed.

While existing research on second or foreign (L2) feedback has predominantly focused on the effectiveness of various feedback practices and their impacts on writing performance, limited attention has been devoted to learners’ proactive role in seeking feedback, and how this important yet underexplored construct correlates with conative and affective variables remains insufficiently examined. To help fill that void, we sought to explore the concept of feedback-seeking behavior and its antecedents in L2 writing by examining the correlations with future L2 writing selves and emotions, particularly unpacking the mediating effect of emotions in the emotion-driven chain of “motivation→emotion→increased or decreased behavior” among 225 undergraduate English major students. Structural equation modeling unveiled that ideal and ought-to L2 writing selves directly and significantly influenced emotions, and emotions impacted the two dimensions of feedback-seeking behavior significantly. More importantly, ideal L2 writing self indirectly influenced feedback monitoring and feedback inquiry through the mediation of writing enjoyment. Nevertheless, writing boredom exercised no significant mediating effect on future L2 selves and feedback-seeking behavior. These findings reinforced the learner-centered perspective that positions students as proactive agents and provide some notable implications for L2 writing instruction to advance our understanding of teacher feedback. • Learners with heightened L2 selves deployed more feedback-seeking strategies. • Experiencing L2 enjoyment fostered distinct feedback-seeking behaviors. • No variations in L2 boredom existed in the link between L2 selves and behavior. • More high-quality research evaluating L2 learners as proactive agents is needed.

The study investigates how Chinese English-as-a-foreign-language (EFL) learners construct translanguaging space via multimodal orchestration in collaborative English-language YouTube videos introducing Chinese culture. By triangulating multimodal analysis of videos and students’ interview responses, the current research maps translanguaging space construction within and across modes and identifies four multimodal translanguaging space patterns. Meanwhile, learners’ understanding of modal affordances, their intents, their perceptions of the intended audience, and their experiences with relevant (multimodal) texts were found to influence their multimodal orchestration in translanguaging space construction. Digital multimodal composing (DMC) provides EFL learners with opportunities to draw upon their expanded multimodal repertoires, to combine multiple modes for meaning-making creatively, and to transcend the boundaries of languages and modalities critically. Pedagogical suggestions are provided regarding integrating DMC tasks into multilingual learning environments.

The study explored EFL students' development of syntactic complexity by employing the Latent Class Growth Analysis (LCGA) approach. A total of 214 tertiary EFL students from Southwest China were invited to write four argumentative essays over an academic semester. The unconditional models of LCGA were utilized to explore the optimal latent classes of students' development trajectories of syntactic complexity. The conditional models of LCGA were employed to investigate the predictive effect of English proficiency on the optimal latent classes. Results of the unconditional models revealed different latent classes of development trajectories for six indices of syntactic complexity rather than the remaining ones, which offers tentative evidence for the heterogeneity of L2 development trajectories. Results of the conditional models showed that English proficiency did not predict the membership in these latent classes. These results are discussed and implications for L2 instruction are attempted.

This paper reports on an exploratory study that investigated the relationship between English as a foreign language (EFL) writers’ reported metacognitive strategy knowledge and their English writing performance in multimedia environments in a Chinese tertiary context. A self-report questionnaire was used to collect data on 126 participants’ metacognitive strategy knowledge and EFL writing scores. Mann-Whitney U Tests were conducted to explore differences between high (n = 65) and low (n = 61) EFL proficiency groups. Analysis of the data revealed that the participants’ metacognitive strategy knowledge was correlated significantly with their writing performance. The high EFL-proficiency group reported having statistically significantly more metacognitive knowledge about three clusters of metacognitive strategies (planning, monitoring, and evaluating) than their low EFL-proficiency counterpart. These important findings point to pedagogical implications that there is a need to integrate metacognitive strategies into teaching and researching EFL writing.