Although the story continuation writing task(SCWT) has attracted much research attention, few studies have investigated the construct of the task, particularly with respect to which language competence it focuses on. ...Although the story continuation writing task(SCWT) has attracted much research attention, few studies have investigated the construct of the task, particularly with respect to which language competence it focuses on. In addition, although some studies have demonstrated that China’s Standards of English Language Ability(CSE) provides comprehensive insights into the development of Chinese learners’ English language proficiency, little research has investigated the relationship between CSE and SCWT. This study drew upon the CSE to develop an SCWT language use inventory to address the above research gaps. A total of 358 high school students were asked to complete the questionnaire, of which 277 valid responses were analyzed. Exploratory factor analysis(EFA) on the CSE-based questionnaire revealed the presence of six factors, namely language correctness, language variety, task planning, connecting-and-generating, selecting-andmining, and organizing. The strategy of connecting-and-generating was the only significant predictor of the learners’ SCWT scores. The paper also discusses the findings relating to the SCWT rating and other integrated writing tasks.展开更多
In this study,it aims at examining the differences between humangenerated and AI-generated texts in IELTS Writing Task 2.It especially focuses on lexical resourcefulness,grammatical accuracy,and contextual appropriate...In this study,it aims at examining the differences between humangenerated and AI-generated texts in IELTS Writing Task 2.It especially focuses on lexical resourcefulness,grammatical accuracy,and contextual appropriateness.We analyzed 20 essays,including 10 human written ones by Chinese university students who have achieved an IELTS writing score ranging from 5.5 to 6.0,and 10 ChatGPT-4 Turbo-generated ones,using a mixed-methods approach,through corpus-based tools(NLTK,SpaCy,AntConc)and qualitative content analysis.Results showed that AI texts exhibited superior grammatical accuracy(0.4%–3%error rates for AI vs.20–26%for university students)but higher lexical repetition(17.2%to 23.25%for AI vs.17.68%for university students)and weaker contextual adaptability(3.33/10–3.69/10 for AI vs.3.23/10 to 4.14/10 for university students).While AI’s grammatical precision supports its utility as a corrective tool,human writers outperformed AI in lexical diversity and task-specific nuance.The findings advocate for a hybrid pedagogical model that leverages AI’s strengths in error detection while retaining human instruction for advanced lexical and contextual skills.Limitations include the small corpus and single-AI-model focus,suggesting future research with diverse datasets and longitudinal designs.展开更多
The paper is purposed to promote students＇ writing skills and help them perfect their cognitive structure at the same time by designing some writing tasks. The tasks are based on the contents of the teaching material...The paper is purposed to promote students＇ writing skills and help them perfect their cognitive structure at the same time by designing some writing tasks. The tasks are based on the contents of the teaching materials, and students can get involved in the activities by thinking critically.展开更多
文摘Although the story continuation writing task(SCWT) has attracted much research attention, few studies have investigated the construct of the task, particularly with respect to which language competence it focuses on. In addition, although some studies have demonstrated that China’s Standards of English Language Ability(CSE) provides comprehensive insights into the development of Chinese learners’ English language proficiency, little research has investigated the relationship between CSE and SCWT. This study drew upon the CSE to develop an SCWT language use inventory to address the above research gaps. A total of 358 high school students were asked to complete the questionnaire, of which 277 valid responses were analyzed. Exploratory factor analysis(EFA) on the CSE-based questionnaire revealed the presence of six factors, namely language correctness, language variety, task planning, connecting-and-generating, selecting-andmining, and organizing. The strategy of connecting-and-generating was the only significant predictor of the learners’ SCWT scores. The paper also discusses the findings relating to the SCWT rating and other integrated writing tasks.
基金supported by the Macao Science and Technology Development Fund(FDCT)(No.0071/2023/RIB3)Joint Research Funding Program between the Macao Science and Technology Development Fund(FDCT)and the Department of Science and Technology of Guangdong Province(FDCTGDST)(No.0003-2024-AGJ).
文摘In this study,it aims at examining the differences between humangenerated and AI-generated texts in IELTS Writing Task 2.It especially focuses on lexical resourcefulness,grammatical accuracy,and contextual appropriateness.We analyzed 20 essays,including 10 human written ones by Chinese university students who have achieved an IELTS writing score ranging from 5.5 to 6.0,and 10 ChatGPT-4 Turbo-generated ones,using a mixed-methods approach,through corpus-based tools(NLTK,SpaCy,AntConc)and qualitative content analysis.Results showed that AI texts exhibited superior grammatical accuracy(0.4%–3%error rates for AI vs.20–26%for university students)but higher lexical repetition(17.2%to 23.25%for AI vs.17.68%for university students)and weaker contextual adaptability(3.33/10–3.69/10 for AI vs.3.23/10 to 4.14/10 for university students).While AI’s grammatical precision supports its utility as a corrective tool,human writers outperformed AI in lexical diversity and task-specific nuance.The findings advocate for a hybrid pedagogical model that leverages AI’s strengths in error detection while retaining human instruction for advanced lexical and contextual skills.Limitations include the small corpus and single-AI-model focus,suggesting future research with diverse datasets and longitudinal designs.
文摘The paper is purposed to promote students＇ writing skills and help them perfect their cognitive structure at the same time by designing some writing tasks. The tasks are based on the contents of the teaching materials, and students can get involved in the activities by thinking critically.
