ChatGPT has been demonstrated to possess significant capabilities in generating intricate human-like text, and recent studies have established that its performance in theory of mind (ToM) tasks is strikingly comparable to a nine-year-old child's. However, it remains unknown whether ChatGPT outperforms children of this age group in Chinese writing,…

This study examined Chinese EFL researchers' English abstract writing in language education. Using open-ended questionnaires, it first investigated 24 Chinese EFL researchers' perceptions of their challenges in writing English abstracts. Using generalizability theory and follow-up interviews, it then invited 16 experienced English journal…

From a positive psychology perspective, this case study explores learners' academic emotions in giving and receiving peer feedback on second language writing and the possible influences of emotions on learners' uptake of peer feedback. The data were collected from five undergraduates at a Chinese university, including semi-structured interviews,…

This investigation sought to discern the impacts of different electronic note-taking strategies--collaborative, individual, and a hybrid of both--on the academic writing skills of Chinese EFL graduate students. The study engaged 185 participants, systematically assigned to one of four groups: those practicing collaborative electronic note-taking,…

Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…

Peer feedback activities are characterized by peers performing both roles of feedback provider and receiver, and peers are found to benefit from both roles. However, in current feedback literacy studies, the emphasis has been overwhelmingly given to students' understandings, capacities and dispositions in receiving feedback, and existing student…

Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…

Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…

Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…

This study introduces a mobile-assisted Seamless Chinese Vocabulary Learning (SCVL) framework and examines its efficacy through the implementation of a "sentence-paragraph-essay" artifact-making writing process designed to enhance vocabulary growth among tertiary-level students. Employing a design-based research methodology, the study…

The feedback-seeking behavior (FSB) framework offers a novel perspective for analyzing second language (L2) learners' proactive agency in processing teacher feedback. While research has identified associations among language mindsets, goal orientations, and FSB in L2 speaking classes, this line of inquiry should be extended to L2 writing education…

In the existing literature, scholars have proposed various indices to measure the lexical richness (LR) of English as a foreign language (EFL) writing. However, there are currently issues of redundant indices and inconsistent usage. Attempting to address the research question of which indices are the most sensitive and effective ones to…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

The application of Automated Writing Evaluation (AWE) has recently gained researchers' attention worldwide. However, the impact of AWE feedback on student writing, particularly in languages other than English, remains controversial. This study aimed to compare the impacts of Chinese AWE feedback and teacher feedback on Chinese writing revision,…

Cognitive diagnostic assessment (CDA) intends to identify learners' strengths and weaknesses in latent cognitive attributes to provide personalized remedial instructions. Previous CDA studies on English as a Foreign Language (EFL)/English as a Second Language (ESL) writing have adopted dichotomous cognitive diagnostic models (CDMs) to analyze data…