Based on the author's personal experiences of learning to do qualitative research, this autoethnography reflects on the dilemma of qualitative research development in China's academia of foreign languages and seeks its solutions. The narrative inquiry finds that the dilemma is largely due to difficulties in learning and applying qualitative research, misunderstandings of and bias toward qualitative research among some researchers, and repellence from the traditional research culture and current academic context. In the era of methodological pluralism, the practice of teaching and learning qualitative research needs to be integrated into Chinas foreign language teacher education and postgraduate programs, and qualitative research deserves a place in domestic academic journals'

This one year longitudinal study involves two cohorts of undergraduates at a Chinese university: 2 673 students from the 2022 cohort and 2 272 students from the 2023 cohort. It uses a self-developed GenAI-powered personalized adaptive learning system ZJU E-Lang, and examines its role in improving EFL listening and reading abilities from the perspectives of learning outcomes and students' perceived effectiveness. The findings indicate that the GenAI-powered system significantly enhanced students' English listening and reading abilities. However, a clear novelty effect was observed, with substantial progress during the first half of the year followed by a slowdown in the second half. Students' perceptions of the GenAI-powered system varied by discipline, but disciplinary backgrounds did not interact with GenAI-facilitated learning effects. The positive effects of the GenAI-powered system in supporting language learning provide enlightenment for the deep integration of human intelligence and artificial intelligence in foreign language teaching.

Intelligent chatbots are emerging technological tools for second language acquisition, though their effects on language acquisition remain controversial. Using meta-analysis, this study examines the overall and moderating effects of 35 experimental and quasi-experimental studies on application of intelligent chatbots to second language acquisition in the past decade. The results show that: (1) the overall average effect value is 0.677, exhibiting a large effect on language learning; (2) the moderating variables such as learning stages, teaching cycles, intelligent chatbot features (including interfaces and interaction modes), and second language skills produce significant effects on language learning, while learning situations have no moderating effect. The study provides implications for applying intelligent chatbots to second language teaching.

GenAI, as the core engine driving the digital transformation of education, is reshaping the practical paradigms of foreign language education through multidimensional synergistic mechanisms. This paper firstly addresses the limitations inherent in technology-enabled foreign language education, and clarifies the transformative significance of GenAI's technical features for forming a new education ecosystem. Subsequently, it examines the interaction of the four dimensions of teaching, learning, assessment and governance, elucidates the internal logic behind GenAI's empowerment of foreign language education, and thus proposes corresponding actionable approaches. In so doing, the paper aims to provide insights and references for the sustainable development of intelligent foreign language education.

The rise of large language models has profoundly reshaped translation production practices, presenting a significant challenge to traditional translation training systems. This paper, oriented towards the objectives of knowledge, skills, and critical thinking, proposes a pedagogical framework driven by large language models for human-machine collaborative translation. The framework comprises a four-stage teaching pathway of translation diagnosis, prompt design, multi-round interaction and project practice, and adopts a comprehensive evaluation method, aiming to promote the intelligent transformation of translation education and cultivate innovative translators in the AI era.

Speech perception is a cognitive process that integrates visual and auditory modalities. Observers process prominent information through visual (e.g. facial expressions) and auditory (e.g. prominence) cues. Based on the McGurk effect theory, this study investigates Chinese EFL learners' audiovisual perception of English and Chinese prominence by measuring reaction time and accuracy. The results reveal that the congruent audiovisual cues have the strongest effect on prominence perception. It is easier for EFL learners to judge Chinese prominence than English prominence, showing native language advantage. Under audiovisually congruent conditions, EFL learners' audiovisual perception patterns of English prominence closely approximate those of native speakers. It is faster and easier to detect prominent words in the non-final positions of a sentence than those in the final position. The study provides foundational data for human-computer interaction research, offering practical application value in fields such as intelligent education and medical rehabilitation.

This paper explores the application of artificial intelligence (AI) in foreign language education research, and proposes a systematic and multi-dimensional framework for research topic selection and methodological recommendations. First, it constructs a “four-dimensional” conceptual framework comprising national policies, foreign language teaching design, teaching implementation, and teachers and learners as educational agents, highlighting the logical interconnections among these dimensions. Second, it presents three approaches to topic selection: top-down systematic progression, flexible selection with comprehensive examination, and focus on teaching and learning subjects. The paper then elaborates on applicable research methods, including mixed methods, case study, case analysis, design-based research, dialectical research, etc., and illustrates their applications with specific examples. Finally, it emphasizes the significance of AI technology in foreign language education research, and suggests directions for future research.

This study collected 1 758 valid questionnaires from college students all over China, and used structural equation modelling to explore the influence of digital nativeness composed of 4 factors on students' online English learning engagement. The results showed that: (1) the digital nativeness of Chinese college students was at a high level; (2) their online English learning engagement was above the medium level; (3) “growing up with technology” had no significant impact on online English learning engagement, “comfortable with multitasking” had a significant negative impact on online English learning engagement, while “reliant on graphics for communication” and “thriving on instant gratifications and rewards” had significant positive impacts on online English learning engagement. Online English teaching suggestions and future research directions are further provided.

Playing an important role in learners' L2 writing development, engagement with feedback is jointly affected by individual factors and environmental factors. The application of automated writing evaluation (AWE) system has furnished L2 writing pedagogic practice with a new environment of integrated feedback. This study examines the impact of the integrated feedback environment on learner engagement and L2 writing performance. The findings reveal that: (1) integrated feedback significantly outshines teacher feedback in improving learner engagement and consequently L2 writing performance; (2) in the integrated feedback environment, cognitive engagement has the greatest impact on learners' L2 writing performance, followed by behavioral engagement and affective engagement, and regarding cognitive engagement, the use of metacognitive strategies significantly contributes to a valid prediction of learners' writing performance.

This study examines the application of artificial intelligence, particularly large language models (LLMs) in integrating Chinese culture into foreign language teaching, focusing on two key dimensions of cultural understanding and narration. For cultural understanding, LLMs support cultural theme analysis and cross-cultural concept comparison, effectively broadening learners' cultural horizons and enhancing their intercultural sensitivity. For cultural narration, LLMs assist in optimizing content expression and narrative strategies, improving the precision of cultural communication. The study emphasizes that successful human-machine collaboration hinges on maintaining learners' active cognitive engagement throughout the learning process. Additionally, given the potential ideological issues in LLMs-generated content, teachers need to develop keen discriminatory abilities and guide learners in strengthening their cultural autonomy and critical thinking skills.

Grounded in the self-regulated learning theory and blended learning theory, this study constructs an AI agent-assisted blended autonomous learning model of foreign languages, aiming to maintain the balance between the technological empowerment and development of autonomous learning abilities. This model emphasizes dynamic alignment of learning objectives and content, interactive design of learning methods and organization, and continuous improvement of learning assessment and feedback, and is implemented through a “planningexecutionreflection” cycle. An interpreting teaching experiment demonstrates that the model significantly improves students' interpreting performance, which is positively correlated with learning stages, while technology acceptance and feedback mechanisms reveal phased cognitive adaptation needs. Based on the experimental findings, the study provides recommendations for optimizing the model implementation, including collaboratively setting goals, explicitly teaching strategies and coordinating emotional support.

Machine translation literacy has emerged as a frontier topic in translation studies in the human-machine collaboration era, but assessment tools for machine translation literacy remain underdeveloped. This study attempts to construct a machine translation literacy scale consisting of 5 dimensions and 18 indicators, and examines its reliability and validity. The dimensions include human-machine translating knowledge, human-machine translating strategies, pre-editing techniques, post-editing techniques and human-machine relationship understanding. The statistical results indicate that the scale demonstrates good convergent validity, discriminant validity, and internal consistency reliability. The machine translation literacy scale may provide reference for quantitative assessment in translation education and practice.

Based on the macroscopic socio-educational model and the microscopic L2 motivation model, this study explored the interrelationship among 6 internal dimensions of L2 learning motivation (i.e., ideal L2 self, interest in language learning, cultural integration, information medium, attitudes toward native speakers of the target language, and individual development). A total of 898 Chinese, American and British university students completed a questionnaire, and the survey data were subsequently fitted by structural equation modelling. Results showed that interest in L2 learning had significant impacts on individual development, cultural integration, attitudes toward native speakers of the target language, and ideal L2 self. Nationality had mediating effects on individual development, information medium, attitudes toward native speakers of the target language, and interest in L2 learning. These observations, the direct effects of interest in L2 learning and the mediating effects of nationality in particular, are potentially insightful for updating the existing L2 learning motivation models.

Starting from college English teachers concern over the practice of blended teaching and taking the design of the textbook series New Progressive College English as an example, this paper attempts to discuss the background, principles and advantages of integrating textbooks with digital resources in blended teaching, so as to encourage graded teaching by embracing new teaching tools and foster students autonomous learning ability by using online platforms with teaching management functions.

This paper deals with the textbook series New Progressive College English in respects of its background, compiling concepts, framework and distinctive features. Written in accordance with the Guidelines on College English Teaching and drawing on rich experience from the College English and New College English textbook series, the New Progressive College English aims to meet the requirements of teaching EFL in China in the new era. The textbook series provides reading materials from the latest English articles, various exercises and digital resources, all of which involve pioneering practices in college English textbook compilation.

This paper provides an academic dialogue with Professor Michael Byram on localization of intercultural communication theories, dimensions and evaluation of Intercultural Communicative Competence (ICC) in teaching materials. The dialogue reveals that the Chinese scholars have managed to localize intercultural communication theories in practice. ICC presentation in teaching materials shall give priority to skills of relation and discovery among cultures, attitudes and critical cultural awareness. ICC evaluation shall integrate formative assessment of intercultural activities to improve students ICC. The paper is concluded with implications of intercultural communication theories for teaching materials evaluation.

The first summit forum on the construction and development of the worldclass discipline of foreign language and literature, and the inaugural meeting of the China University Alliance for the Development of Foreign Language and Literature Discipline was hosted by Shanghai International Studies University in March, 2018. This paper analyzes the hot topics of this summit forum. Through content analysis and document analysis, it summarizes the main academic views of the experts and scholars. The paper also discusses the status quo and multiple developmental trends of the worldclass foreign language and literature discipline in the Chinese higher education, so as to bring some enlightenment to the construction of the worldclass discipline of foreign language and literature in China.

With 72 freshmen of non-English majors as the subjects, the present study explored the effects of input frequency of different occurrences and output frequency of different occurrences on the acquisition of second language chunks' productive knowledge. The study results showed that (1) input frequency of different occurrences had an effect on the immediate acquisition of second language chunks productive knowledge, and had a delayed effect in one week; (2) output frequency of different occurrences had an effect on the acquisition of second language chunks' productive knowledge in one week, and the delayed effect remained in two weeks; (3) there were significant differences between the effects of input and output frequency of different occurrences on the acquisition of second language chunks' productive knowledge. The study will not only enrich the understanding of explicit/implicit teaching and effects of frequency, but also provide pedagogical implications for chunk teaching.

Within the theoretical framework of L2 Motivational Self System and by questionnaires and SEM, this study examined the mediating effects of motivated behavior on L2 Self and English reading and writing skills. The results show that Ideal L2 Self exerted a significant effect on reading skills, and motivated behavior partially mediated the effect of Ideal L2 Self on reading skills; L2 Learning Experience had a significant effect on writing skills, and motivated behavior partially mediated the effect of L2 Learning Experience on writing skills; Oughtto L2 Self exerted no significant effect on reading and writing skills, and thus no mediating effect existed. These results may contribute to the teaching and learning of English reading and writing skills.

Foreign language talents in the new era are expected to have more abilities than merely language ability, among which are critical thinking ability and intercultural communicative competence. Therefore, effective language tests will be needed to assess such abilities. By reviewing relevant literature and investigating two tasks in the English Test for International Communication, this study focuses on the development of test tasks integrating the target abilities from the aspects of task forms, task contents and evaluation criteria, with an expectation to provide useful insights for the selection and cultivation of foreign language talents.

Through content analysis of the empirical studies on foreign language testing published in 14 main domestic foreign language journals from 2006 to 2017, this paper attempts to reveal the development trends, contents and features of the empirical studies on foreign language testing in China. The results show that the number of empirical studies on foreign language testing moves along a wavelike curve; more than half of the studies focus on largescale tests, and the studies deal with not only such traditional topics as test validity, construct, washback, human scoring, items/tasks/test papers, cognitive factors, affective factors and testtaker performance, but also new topics like computer and internetbased testing, automated scoring, classroom assessment, social factors, English proficiency scales, assessment literacy and cognitive diagnostic assessment; the empirical studies are characterized by a wide range of subjects, a variety of topics and mixed research methods, but they await further investigation to become more balanced, systematic and forefrontexploring. The paper further draws on the recent hotspots in international studies on language testing and puts forward suggestions for domestic studies.

The College English Test (CET), a language testing system with distinctive Chinese characteristics, was designed and developed by Chinese language testers in the 1980s. In this article, a review was undertaken of the reform and development of the CET in the past three decades, focusing on its role in promoting college English teaching and learning. Directions for the further development of language testing in China were discussed based on the validity theory of language testing. It was suggested that language testers in China should pay due attention to the Chinese context and be actively engaged in research on the social dimensions of language testing so as to facilitate a sustained development of domestic language tests with Chinese characteristics and enhance their international recognition.

Through a quantitative content analysis of the research methods in Business English (BE) studies published in CSSCI and SSCI journals from 2007 to 2017, this paper finds that: (1) In research design, both domestic and overseas studies emphasized BE education, while international academia witnessed more BE discourse studies; both domestic and overseas studies were mainly based on linguistics, but more interdisciplinary studies were published in SSCI journals; a wider range of business genres, spoken and computermediated genres in particular, were investigated by overseas researchers. (2) In data collection, nonprobability sampling was widely applied both at home and abroad, while surveys, interviews and observations were more frequently used by overseas researchers. (3) In data analysis, mixed and qualitative methods were the mainstream in overseas studies, while quantitative methods were preferred domestically; in addition, domestic researchers made full use of corpus tools. (4) Reliability and validity tests were inadequate in both domestic and overseas studies. The paper is concluded with implications for domestic BE studies.

This paper expounds the theory and application of a dialectical research paradigm (DRP). It includes three major sections. The first section discusses the essential differences between the DRP and the DRM (dialectical research method). The second explains the theoretical framework of the DRP. Finally, the third looks into the practical value of the DRP by drawing on the authors own research experiences, and points out the problems to which the DRP users should pay attention.

Based on the Interpreting Scale of China's Standards of English Language Ability (CSE) and artificial intelligence (AI) technology, the current study develops an automatic scoring system for interpreting, hopefully applicable to interpreting teaching, learning, and testing. Preliminary data shows that the Pearson coefficient of the AI algorithm model 1.0 and human reviewers is 0.95 in the homogeneous interpreting student population. In the case of heterogeneous interpreting students in different application scenarios and high consistency among human reviewers, the scores of AI model fluctuate in a certain range. The study concludes that it is feasible to use AI algorithm models to apply CSE-Interpreting Scales in automatic scoring of interpreting.

With the rapid development of new-generation information technologies, artificial intelligence (AI) is irreversibly reshaping the ecosystem of foreign language education, bringing unprecedented opportunities and challenges to foreign language education. Only by forging ahead in the right direction can AI-empowered foreign language education truly promote the development of programs and serve the progress of humanity. To carry forward the reform of foreign language education, it is essential to actively embrace AI technologies, integrate into the broader trend, and identify the contemporary positioning of foreign language education. Efforts should also be made to strengthen the internal capabilities of foreign language education, enhance its connotation, optimize its structure, update its types and models, and adhere to its humanistic nature through inheritance and innovation.

This study applies meta-analytical techniques to synthesize existing empirical findings of the continuation writing task, and explores the extent to which it generates alignment and the moderating factors which influence the alignment effects. The random-effects model analysis of 25 effect sizes in 19 published articles shows that the continuation writing task can produce alignment with a moderate effect. The moderator analysis shows that genres have a moderating effect on alignment. The results indicate that the continuation writing task has alignment effects on different linguistic dimensions in foreign language learning, and promote acquisition of different target languages for students at different educational stages and in different majors.

As artificial intelligence (AI) increasingly impacts on various industries, foreign language education has become a widely debated subject once more. This paper argues that in the AI era, foreign language education should implement the New Model of Tertiary Foreign Language Education by adhering to the basic educational principles of prioritizing students' key competencies, including language proficiency, human-AI interaction skills, intercultural competences, and research capabilities. Meanwhile, it should strategically incorporate AI tools to enhance teaching effectiveness. Foreign language teachers should strengthen AI literacy both in theory and practice to develop the New Model of Tertiary Foreign Language Education and drive teaching innovation, so that foreign language programs can cultivate high-quality talents capable of meeting the demands of national and societal progress in the AI era.

The 2024-2035 Master Plan on Building China into a Leading Country in Education calls for accelerating the development of a high-quality education system, and establishing an independent knowledge system of Chinese philosophy and social sciences. In line with the goal of building a leading country in education, the discipline of foreign languages and literatures and related programs should keep pace with the times, strengthen the guiding role of innovative theories, and promote interdisciplinary integration to construct an independent knowledge system for the discipline. They should adhere to a needs-based approach to enhance the relevance of foreign language programs, align with national development strategies to broaden both the scope and depth of cultivating internationally competent interdisciplinary talents, and implement political and moral education by developing a system of high-quality original teaching materials. At this new historical juncture, higher foreign language education should remain committed to national priorities, seize historical opportunities, rise to challenges, and break new ground in development.

The integration of Artificial Intelligence Generated Content (AIGC) into foreign language education is gradually reshaping pedagogical paradigms. Based on a quasi-experimental design and grounded theory analysis, this study introduces a production-oriented and interaction-rich teaching model, and examines the underlying mechanisms linking shifts in learning patterns with student engagement under AIGC-driven conditions.The results reveal that the dialogic, adaptive, and embodied learning modes intertwine and evolve through authentic learner-AI interaction. AIGC integration significantly enhances behavioral and cognitive engagement, while emotional engagement is stabilized through embodied multisensory participation. The learning modes jointly facilitate the deep integration of student engagement, blending into a coherent “interaction adaptation generation” paradigm.Beyond deepening the mechanic interpretation, the study offers both a theoretical framework and empirical evidence for understanding how AIGC can drive paradigm renewal in the digital transformation of language education.