Language Teaching In Universities Research Articles

Research on Integrating the Translation of Red Classics Into Japanese Language Teaching in Colleges and Universities: Taking Tracks in the Snowy Forest as an Example

Research on Integrating the Translation of Red Classics Into Japanese Language Teaching in Colleges and Universities: Taking Tracks in the Snowy Forest as an Example

Students' Perceptions of Using ChatGPT for Academic Writing in English

This article explores the perceptions of university students on the use of ChatGPT for academic writing in English. Participants (n = 79) are all students on mandatory English-language courses at a university Language Centre in Finland. They are predominantly first-year bachelor’s degree students from various degree programmes in different faculties. Participants’ insights were collected via a survey that was administered to several intact groups during the autumn semester of 2023. The survey collected quantitative and qualitative data which were analysed and discussed in light of students’ developing academic writing skills in English. The study sheds light on students’ specific uses of the AI-driven tool as well as their perceptions of its impact on not only the writing process and product, but also on their own writing skills. The results indicated that students perceived ChatGPT to have above average usability, a finding which was supported and elucidated by students’ free responses concerning ways in which they have used this technology. Conversely, the reasons that some students had not used it included, amongst others, a lack of need, ethical concerns and doubts about its usefulness. Given the continued development and availability of large language models such as ChatGPT, this research has clear implications for all stakeholders in higher education. In particular, by illustrating how students utilise ChatGPT in their academic writing, the study provides university language teachers with the insights needed to ensure that their course outcomes, content and assessments remain reflective of students’ developing knowledge and study practices.

The use of AI in foreign language teaching at universities - one year later

The paper deals with artificial intelligence in foreign language teaching, its potential, opportunities and also threats. The purpose of the study is to find out about the sentiment of foreign language teachers towards artificial intelligence, their experience and the extent to which they have already been trained in this field. In order to achieve these objectives, the authors adopted a mixed approach, where a questionnaire and interviews were used as research tools. Based on the results of the questionnaire survey, we can conclude that no dependence between age and sentiment towards AI has been proved. Also, there is no dependence between training provided by university and teachers ́ sentiment towards AI. On the other hand, there is a dependence between training provided by the language department and teachers´ sentiment towards AI. By now, most university language teachers have not received enough training from their employer and acquire their skills mainly through self-study. They would appreciate continuous training in AI and related fields.

Methodological model for teaching residents of foreign language professional communication based on an integrated approach

Importance. The widespread use of foreign language education in non-linguistic universities is due to a number of factors that determine the development of professional activity in various industries. Medicine and healthcare are among the key areas of human activity that require regular updating of knowledge and improvement of professional skills of a specialist in the context of scientific and technological progress. Medical professionals are required to keep abreast of the latest achievements of science and technology, to study new methods of diagnosis, treatment and prevention of diseases in order to provide patients with better medical care. Using the example of the COVID-19 pandemic, the world community realized that the emergence of such threats requires rapid response and cooperation between various countries and organizations. Only through the experience of interaction between scientists and medical professionals from different countries, it was possible to jointly normalize the epidemiological situation around the world. The World Health Organization has played a key role in coordinating international efforts to combat coronavirus infection by providing all the necessary information in foreign languages, mainly English and French. In view of this, there is a social demand in the labor market for medical workers who speak English perfectly, and in higher educational institutions there is a demand for language courses from students of residency. The main purpose of the study is to develop a methodological model for teaching residents of foreign language professional communication based on an integrated approach.Research Methods. To achieve the main goal, theoretical and empirical research methods are applied, which make it possible to study and analyze existing theories and concepts on the topic of developing a methodological model for teaching residents of foreign language professional co mmunication based on an integrated approach. Based on the analysis of the academic literature on the research topic, the regularities of the construction of the methodological model, its functions and component composition are revealed. Modeling of the educational process makes it possible to create an effective methodological model for teaching residents of foreign language professional communication based on an integrated approach.Results and Discussion. The conducted research makes it possible to identify the didactic functions of the methodological model: 1) orienting; 2) regulatory; 3) formative; 4) controlling. Based on the identified didactic functions, a methodological model for teaching residents of foreign la nguage professional communication based on an integrated approach is developed, which is structurally presented in the form of five consecutive blocks: 1) prerequisites; 2) goal setting block; 3) content block; 4) operational and activity block; 5) evaluation and performance block.Conclusion. The developed methodological model for teaching residents of foreign language professional communication based on an integrated approach allows creating a simulation of the educational process in order to identify the strengths and weaknesses of the proposed teaching met hodology. The obtained research results are supposed to be used in the methods of foreign language teaching in medical universities in the training of residents.

Influence of tenure policies on job satisfaction, motivations, and experiences of language teachers in Macau’s higher education

Despite being controversial, teacher tenure policies are understudied, particularly in higher education contexts outside the Western world. Using semi-structured interviews with 15 university faculty members, this study explored how tenure systems influence the teaching practices, motivations, and job satisfaction of language teachers in Macau's universities. It was revealed that Macau implemented competitive, “up or out” tenure policies that were based on research output. Faculty were anxious as vague expectations heightened research priorities over teaching quality and student support. Requirements also strained collegial relationships as faculty goals focused on promotion. Veteran professors demonstrated resilience, maintaining intrinsic motivation despite policies. They advocated improving policies by promoting transparency, balancing workloads, accommodating disciplines, and communicating effectively. Using empirical data, this study identifies key policy implications for supporting teacher motivation while balancing inequality constraints. It provides empirical insight into optimizing tenure for teacher engagement and fulfillment.

ON THE WAY WITH FRAMEWORK CURRICULA TOWARDS FOREIGN LANGUAGE TEACHING AT NON-PHILOLOGICAL FACULTIES FROM TOMORROW

The aim of our contribution is to show how the framework curricula for the teaching of German and foreign languages which were developed in ten countries during a project for cross-curricular university language education in the period 1998-2014 can support teachers, even under difficult circumstances such as during the pandemic. The holistic approach of these curricula leads teachers to create teaching materials which allow their students to enjoy learning and to develop not only their linguistic, but also methodological, social and personal competences relevant to their future careers. Teaching examples from online classes at Bocconi University (Italy) and hybrid classes at the University in Novi Sad, (Serbia) are presented, which prove that the motivation and creativity of learners, who often perceive professional and technical language as something dry and overly factual, can be stimulated by appropriate working methods and targeted teaching materials. Appropriate teaching materials can be created for German classes as well as for any other foreign language classes, since the indications of principles, objectives, contents and procedures contained in the framework curricula are cross-linguistic and are not bound to the teaching of a single language, although they have been written in German by German lecturers.

The Influencing Factors on the Application of Information Technology Among Japanese Language Teachers in Chinese Universities

The Influencing Factors on the Application of Information Technology Among Japanese Language Teachers in Chinese Universities

Intelligent Learning Platform with Deep Neural Network for Korean Language Teaching in Universities

Intelligent learning represents a dynamic approach to education that provides innovative technologies and personalized methodologies to enhance learning outcomes. Intelligent teaching adapts instruction to the individual needs, preferences, and progress of each student. This approach enables educators to tailor curriculum delivery, identify areas for improvement, and provide timely feedback, fostering a more engaging and effective learning environment. Moreover, intelligent teaching promotes collaborative learning experiences and encourages critical thinking skills, preparing students for success in an increasingly digital and interconnected world. This paper proposed a framework of Generative Platform-Oriented Intelligent Deep Neural Network (GPoIDNN) for Korean language teaching in Universities. The proposed GPoIDNN network comprises a social media platform for the promotion of Korean language teaching among students. With the GPoIDNN platform, a Generative network is implemented for the analysis of the factors involved in Language teaching in universities. The platform considered for the proposed model is Weibo for acquiring in-depth information about the language learning process. Upon the estimated features GPoIDNN uses the Generative Deep Neural Network platform for the classification and examination of the student performance. With the Weibo platform in social media, the Generative network constructs the intelligent teaching system for the Korean language teaching process in University students. The examination of student performance demonstrated that the proposed GPoIDNN model improves the student learning of Korean language with improved by 73% through the intelligent model. Further, the keywords and opinions classified with the GPoIDNN model exhibits a higher classification rate of 0.98 based on the opinion of the students in the universities.

The effects of professional identity on retention intention of international Chinese language teachers in Guizhou colleges and universities: The chain mediating role of job satisfaction and career commitmen

This study investigates the influence of international Chinese language teachers’ professional identity on their intention to stay in Guizhou universities. The focus is on understanding the chain mediating role of job satisfaction and career commitment in this relationship. Objectives: The primary objective is to analyze the correlation between teachers’ professional identity and their intention to stay in the profession. Additionally, the study aims to evaluate the mediating effects of job satisfaction and career commitment on this relationship. Methods: Data were collected from international Chinese language teachers working in Guizhou universities. Statistical analysis was conducted to examine the relationships among professional identity, job satisfaction, career commitment, and intention to stay. Results: The analysis revealed a significant positive correlation between teachers’ professional identity and their intention to stay in the profession. Furthermore, both job satisfaction and career commitment were found to play crucial mediating roles in this relationship. Conclusions: The findings suggest that enhancing teachers’ professional identity and job satisfaction, as well as strengthening their career commitment, can effectively increase their willingness to remain in the profession. This is critical for stabilizing the teaching workforce and improving educational quality. The study provides valuable insights for university administrators to develop more reasonable and effective teacher management and incentive policies

Optimizing english teaching: ARCS motivation model and task-based language teaching in university

This study investigates the optimization of junior high school English teaching using the ARCS motivation model and Task-Based Language Teaching (TBLT). The ARCS model emphasizes attention, relevance, confidence, and satisfaction to enhance student motivation, while TBLT integrates language learning into real-life situations. Implemented through Moodle, the study fosters student engagement, critical thinking, and language proficiency. Results show improved student interest and comprehension, highlighting the approach's efficacy. Challenges in implementing TBLT in diverse educational contexts are also discussed. The study underscores the potential of combining motivational strategies and practical language application for effective English teaching.

Research on Mental Health of Foreign Language Teachers in a Private University of China

Foreign language teachers encounter a number of unique challenges, including cultural differences, language barriers and other stressors, in addition to a lack of promotion opportunities. In order to enhance their mental health and work efficiency, it is essential to examine the current state of mental health among foreign language teachers in private universities, identify the primary factors influencing their mental health and implement effective intervention measures. A questionnaire, individual interviews and a symptom self-assessment scale (SCL-90) were employed to investigate and research the mental health status and influencing factors of foreign language teachers in private universities. The aim was to explore effective intervention techniques, methods and paths, and to improve the dimension of mental health intervention system. SPSS.26.0 was used to analyses the data obtained from the questionnaire survey. The study aims to provide theoretical foundations and decision-making guidance for the management departments of private universities, particularly the human resources department. This will involve the development of a scientific, reasonable and efficient qualitative and quantitative assessment and management system for college English teachers. Additionally, the study will provide reasonable suggestions for private college teachers to improve their own mental health, with the ultimate goal of improving the mental health level of private universities’ foreign language teachers in China and promoting the sustainable development of education.

Utilizing ChatGPT on Designing English Language Teaching (ELT) Materials in Indonesia: Opportunities and Challenges

This study aims to examine the impact of artificial intelligence (AI) on pragmatic English language teaching in universities. The scope of the study is limited to the opportunities and challenges of English language teaching. This study was carried out using a mixed method of conducting surveys and in-depth interviews. A questionnaire link using Google Forms from Spreadsheet was sent to 6 English lecturers via WhatsApp group and personal contact. The study sample consisted of 6 English lecturers from state and private universities in Central Java. Observation, questionnaire analysis, and interview transcripts show that the emergence of artificial intelligence (AI) technology has created opportunities and challenges to teaching and learning English. AI has transformed English language teaching in higher education. The findings and discussion elaborate some novelties of this study; 1) the profile of utilizing ChatGPT in pragmatics ELT teaching, portrays that ChatGPT roles in teaching scenarios play 3 major sessions, like; designing creative and innovative pragmatics teaching materials, setting up the midterm test of pragmatics project, and lastly, assessing and evaluating the pragmatics final test project. 2) The opportunities of using ChatGPT for lecturers, ChatGPT is one of the most sophisticated AI tools available today, and it can write nearly anything that an instructor wants it to. ChatGPT can help lecturers with a variety of tasks, such as creating course outlines, student progress reports, test and quiz questions, and grading rubrics; developing more inclusive and accessible learning activities; interacting with students and their families; and contributing text for websites or bulletin boards to maintain a connection between students and their families. 3) The challenges of applying ChatGPT for lecturers; ChatGPT can provide immediate responses to student questions, ChatGPT can adapt to individual student needs, ChatGPT can increase accessibility and inclusivity by providing language support for students with diverse learning needs, ChatGPT can serve as a valuable tool for language practice and strengthening, ChatGPT can encourage active learning by encouraging students to ask questions, engage in discussions, and seek clarification on challenging concepts, Integrating ChatGPT into language teaching can inspire innovative teaching approaches, such as blended learning models, flipped classrooms, and gamified learning experiences, that leverage technology to improve student learning outcomes

A deeper form of reflection: perezhivanie as a tool for teacher development

ABSTRACT Crediting Vygotsky in introducing perezhivanie, I argue that perezhivanie acts analogously to reflection in problem solving and much beyond that and can be used as a developmental tool for teachers. Analyzing teacher’s perezhivanie, a mentor can better understand their practice. Teachers’ perezhivanie is a psychological reaction to a problematic situation in the classroom, comprising several stages from cognitive dissonance to meaning making, and performing a new activity to resolve the problem. My argument is based on a narrative study into 10 university language teachers’ experiences. Using the structural elements of the narrative, data from one participant were iteratively analyzed and presented in this article to discuss the teacher’s perezhivanie when she tried to solve emerging problems in the classroom. The analysis traces the relation of two immanent characteristics of perezhivanie, its process and content, to teachers’ agency. The article suggests how perezhivanie can be meaningfully incorporated into in-service mentoring programs.

Professional Inquiry as Strategy for Language Teacher Development: Three projects at the ZFA Ruhr-Universität Bochum (2022-2023)

Between October 2022 and March 2023, the Language Centre (Zentrum für Fremdsprachenausbildung: ZFA) at the Ruhr-Universität Bochum organised a professional inquiry programme for its teachers. This introductory article introduces professional inquiry as a strategy for teacher development and describes the principles behind it and the ZFA project. An overview of the three professional inquiry projects completed by teachers at ZFA is also included here, together with comments on the both the benefits of the project for the teachers as well as challenges they faced. Following this opening piece, the full reports written by the participating teachers are presented. These reports show how systematic pedagogical classroom investigations by teachers can support their understandings of teaching and learning. Based on the experiences of this project at ZFA, professional inquiry is recommended as a feasible approach to the development of university language teachers.

Research on Problems and Countermeasures in the Development of Foreign Language Teachers in Local Applied Colleges and Universities

Research on Problems and Countermeasures in the Development of Foreign Language Teachers in Local Applied Colleges and Universities

Research on the deepening application path of blended teaching mode in foreign language teaching in colleges and universities

The digital era has put forward higher requirements for the development of foreign language talents, and the blended teaching mode can precisely play to its advantages, integrate online and offline teaching resources, and cultivate high-quality foreign language talents. The project mainly adopts the questionnaire survey method, combined with the current status quo of foreign language education reform in colleges and universities, and researches the application of blended teaching mode in foreign language teaching in colleges and universities. It analyzes the current situation of the application of blended teaching mode in college foreign language teaching and the existing problems, concludes that strengthening the deepening application of blended teaching mode in college foreign language teaching can effectively improve the teaching effect, and puts forward improvement strategies for the current problems of blended teaching mode.

Beliefs about Difficulties in Learning Chinese as a Foreign Language in a Public Sector University

Chinese language teaching in universities was introduced as part of China-Pakistan Economic Corridor initiative (CPEC) signed in 2013 for economic, entrepreneurial, and social reasons. Over a decade of introducing Chinese as a foreign language, Pakistani language learners invested in Chinese language for scholarships, higher education, jobs, and business purposes. However, many CFL learners were unable to acquire Chinese language and had low proficiency in the language. Therefore, this study aims to investigate the beliefs about difficulties that foreign language learners face about learning Chinese as a foreign language in a public sector university. For this purpose, quantitative research using BALLI questionnaire was conducted within a public sector university. The beliefs about language learning inventory (BALLI) questionnaire inquired about the general and specific language learning difficulties that students face while learning CFL. Data was collected using stratified sampling from two hundred undergraduate students who have completed CFL-I and CFL-II language courses at the university. Data was analyzed using descriptive statistics through SPSS. The findings of the study showed that learners considered Chinese as a difficult language to learn as compared to other foreign languages. Also, when inquired about the success of their spoken Chinese language in future, few of the participants believed that they would be able to succeed with Chinese language. Similarly, learners reported about the four language skills in Chinese and considered listening as easier than speaking. Additionally, the learners reported that reading and writing are equally difficult in acquiring Chinese.

English teachers’ views of EFL education in private educational institutions in Tunisia: A qualitative investigation

This research study focuses on the status of English language education in private educational institutions in Tunisia, an area that has received limited attention. Qualitative investigation, utilizing one-to-one interviews with English language teachers in private schools and universities, was conducted to understand the conditions of Teaching English as a Foreign Language (TEFL) in the private sector. Interviews were conducted online and transcribed for analysis. Findings indicate that the quality of English language teaching in private institutions surpasses that of state schools, with students benefiting from early exposure and ample practice opportunities. Teachers in private institutions have access to better resources due to stable financial situations, but they tend to be less experienced compared to their counterparts in public schools. Despite the study's limited scope, it provides valuable insights into Tunisian English teachers’ perceptions of working conditions and highlights their need for professional development and improvements in TEFL. The instrument used in the study has been validated and could serve as a basis for future research. This research, part of a larger PhD dissertation, contributes to understanding the differences between state and private language education and has pedagogical relevance for EFL education in similar contexts.

Developing soft skills in future foreign language teachers through ICT

Rapidly changing job markets require graduates to possess not only technical skills but also strong soft skills. This study investigates the development of soft skills in future foreign language teachers in Ukrainian universities, focusing on the potential of Information and Communication Technologies (ICT) as a tool. Using action research methods and mixed data collection, we explore (1) the current understanding of soft skills among teachers and students, (2) the perceived importance of different soft skills for future language teachers, (3) existing methods and challenges in soft skills development, and (4) the effectiveness of various ICT tools in promoting soft skills growth. The findings will inform the design of a model for integrating ICT into foreign language teacher education to enhance soft skills development, ultimately contributing to preparing graduates for successful careers in a globalised world.

A study on the innovative model of foreign language teaching in universities using big data corpus

This paper aims to explore unsupervised cross-lingual word representation learning methods with the specific task of acquiring a bilingual translation lexicon on a monolingual corpus. Specifically, an unsupervised cross-lingual word representation co-training scheme based on different word embedding models is first designed and outperforms the baseline model. In this paper, we adeptly tackles the obstacles encountered in higher education foreign language teaching and underscores the necessity for inventive teaching methods, and design and implement a linear self-encoder-based principal component acquisition scheme for the interpoint mutual information matrix obtained from a monolingual corpus. And on top of this, a collaborative training scheme based on linear self-encoder for cross-language word representation is designed to improve the learning effect of cross-language word embedding. The results of the study show that the most obvious rise in the pre and post tests of the experimental class in the practical application of the foreign language teaching model based on the method of this paper is the word sense guessing, which rose by 23.12%. Sentence meaning comprehension increased by 23.39%, main idea by 16.61%, factual details by 15.47%, and inferential judgment by 10.28%. Thus, the feasibility of the unsupervised cross-linguistic word representation learning collaborative training method is further verified.