Language Learning Research Articles

Improving Classroom Teaching and Learning of Multi-Word Expressions for Conversational Use Through Action Research with Learner Feedback

Multi-word expressions make up a large proportion of the English language and particularly spoken language. Using multi-word expressions can assist with the impression of fluency, making them useful for language learners to know and use. However, proven methods for teaching this language phenomenon are required, so that learners can easily use multi-word expressions in their conversations. The purpose of the study was to examine the efficacy of a fluency workshop focused on multi-word expression use in conversation and to determine the most appropriate implementation for the Japanese context. An action research structure was used over three iterations of the fluency workshop, learner feedback and teacher observations were used to make improvements. Learner feedback regarding the usefulness of each activity for learning English was compared between the original cohort and subsequent cohorts. The results showed significant differences in levels of perceived usefulness for activities where improvements were made, but also for some activities where no specific improvement was made, suggesting that teaching improves through practice. Pedagogical implications include maximising the time on task via clear instructions, providing visual time constraints, and offering scaffolding to support the use of multi-word expressions when recall seems beyond a learner.

HSK TEST ANXIETY OF CHINESE LANGUAGE LEARNERS IN UNIVERSITY STUDENTS

Anxiety can affect the foreign language learning process negatively. Chinese language as one of the developed foreign languages in Indonesia faces this problem too. In the Chinese language, there is language testing called HSK or Hanyu Shuping Kaoshi. Test Anxiety is one of the students’ problems. Test anxiety in the Chinese language influence in student's learning process and achievement. This research aims to find and analyze students’ Chinese language test anxiety of HSK. The research method is descriptive quantitative and the procedure will be using a questionnaire that gives to the students—the anxiety measurement using Sarason TAS (Test Anxiety Scale). The result is anxiety level belongs to TAS moderate level with data mean 20, 43 points.

Developing mobile augmented reality in picture book for teaching English for young learners

An effective language and learning process must contain interactive, fun, challenging, motivating aspects and provide more space for students to develop their creativity and independence, according to students' talents and interests; thus, appropriate teaching media can be as assisting tools. When selecting media, you need to consider several things, namely learning objectives, effectiveness, easy to obtain, students, use, not rigid, cost, and quality. One of the developments in learning media that is currently still new is learning media using Augmented Reality. This research aims to develop Augmented Reality-based text book learning media for English language learning. Developing text-book media using an application with a barcode scanner on text-books. This application displays 4D images or animations that have sound and movement so that it will help students to understand English texts. The research method used is the research and development method (Research & Development) while the product development model used is the ADDIE model (Analysis, Design, Development, Implementation, & evaluation. After developemnt anf evalution phase, the findings reveals that the outcome of teaching material product is deemed highly valid and appropriate for teaching English to yong learners, especially for primary school in this research context, as it was supported by the result of validation phase with media experts, subject matter experts, and student trials. Additionally, reflecting on the result of this study, the pedagogical implications of this result discussed further in this research.

Penerapan Direct Method dalam Meningkatkan Prestasi Belajar Peserta Didik pada Mata Pelajaran Bahasa Arab Kelas 1C MTs di Pondok Pesantren Daarul Rahman Jakarta

This research is motivated by the problem of low grades in Arabic language learning subjects in class 1C MTs Daarul Rahman Islamic Boarding School, South Jakarta. The research method used is Classroom Action Research (PTK), data collection techniques with observation, oral and written tests, documentation. In this study, the subjects were students of class 1C MTs Daarul Rahman Islamic Boarding School, South Jakarta in the 2022/2023 school year consisting of 40 students. The object in this study is the improvement of students' learning achievement in Arabic language subjects using the direct method of class 1C MTs Daarul Rahman Islamic Boarding School, South Jakarta. The increase in students' learning achievement in Arabic language subjects has increased, it can be seen from each cycle that changes have occurred. In the pre-cycle the results were 62%, increased in cycle 1 with a result of 66%, and in cycle 2 increased with a result of 73%. From the learning activities that have been carried out, the learning achievement of students' Arabic language has increased and has reached the predetermined success criteria, it shows that the direct method is successful in improving students' Arabic language in class 1C MTs Daarul Rahman Islamic Boarding School, South Jakarta.

From recorded to AI‐generated instructional videos: A comparison of learning performance and experience

AbstractGenerative AI (GAI) and AI‐generated content (AIGC) have been increasingly involved in our work and daily life, providing a new learning experience for students. This study examines whether AI‐generated instructional videos (AIIV) can facilitate learning as effectively as traditional recorded videos (RV). We propose an instructional video generation pipeline that includes customized GPT (Generative Pre‐trained Transformer), text‐to‐speech and lip synthesis techniques to generate videos from slides and a clip or a photo of a human instructor. Seventy‐six students were randomly assigned to learn English words using either AIIV or RV, with performance assessed by retention, transfer and subjective measures from cognitive, emotional, motivational and social perspectives. The findings indicate that the AIIV group performed as well as the RV group in facilitating learning, with AIIV showing higher retention but no significant differences in transfer. RV was found to offer a stronger sense of social presence. Although other subjective measures were similar between the two groups, AIIV was perceived as slightly less favourable. However, the AIIV was still found to be moderately to highly attractive, addressing concerns related to the uncanny valley effect. This research demonstrates that AIGC can be an effective tool for learning, offering valuable implications for the use of GAI in educational settings. Practitioner notesWhat is already known about this topic Instructional videos, especially those featuring a teacher's presence, have been widely used in second language learning to facilitate learning. Producing instructional videos is costly and burdensome. Generative AI has great potential for generating educational content. What this paper adds An AI‐generated instructional video (including generated lecture text, voice and appearance) demonstrated greater improvement in students' retention performance in English word learning than a traditional recorded video. Students perceived no significant differences between the AI‐generated instructional video and recorded video in satisfaction, motivation, trust, cognitive load, emotions and parasocial interaction dimensions, although the AI‐generated instructional video group reported slightly lower values. Despite AI‐generated instructional video eliciting a significantly lower value of social presence than recorded video, it led to a reduction in cognitive load and better performance. Implications for practice and/or policy We recommend using the AI‐generated instructional video in both physical and online classes for its positive effects on both learning achievement and learning experience. The findings indicate the equivalence principle in AI‐generated content, highlighting that the appearance, voice and lecture text generated by current AI technology have reached a certain level of quality.

Exploring the Effects of Artificial Intelligence Application on EFL Students' Academic Engagement and Emotional Experiences: A Mixed‐Methods Study

ABSTRACTAs artificial intelligence (AI) gains prominence, its integration into second language (L2) /foreign language (FL) instruction has become a significant trend. Despite the considerable promise of AI for L2/FL learning, more research is still needed on its effects on student academic engagement in literature classes and the corresponding emotional experiences. This study, therefore, aimed to examine the effects of AI use on English as a foreign language (EFL) learners' academic engagement, and the emotional experience was also qualitatively explored. Students were allocated to the experimental group (N = 48), who received instruction integrated with AI, and the control group (N = 48), who received traditional instruction without AI assistance. Quantitative data were collected using an FL engagement scale, supplemented by individual semi‐structured interviews in the qualitative phase. The results indicated that integrating AI into EFL instruction has a positive effect on students' cognitive, emotional and social engagement. Moreover, the learners' emotional experiences were found to be abundant and dynamic, exerting influence on their academic engagement. This study provides valuable insights for language educators and researchers regarding integrating AI into EFL instruction.

Humanizing pedagogies and student‐centered instruction in a networked improvement community

AbstractImproved English Language Arts instruction within classrooms and schools that typically serve low‐income, English Language Learners, and Students with Special Needs is important for ensuring all students receive rigorous and inclusive instruction. From the case of a Networked Improvement Community focused on improving instructional practices through student‐centered routines, this research explores the role of humanizing pedagogies in enabling effective student‐centered instructional routines by interviewing 16 teachers who were identified as particularly successful in working with Students of Color. Two major themes and six subthemes were identified from these interviews focused on building relationships as a foundation for humanizing pedagogies and then leveraging those relationships to create a positive classroom culture that fosters increased student engagement and academic risk‐taking with challenging student‐centered routines. These strong teacher–student relationships and student‐centered routines led to improved academic outcomes.

Syntactic Analysis of Nominal Clauses Based on Chomsky’s Generative Grammar and Implications for Language Teaching

Nominal clause is a clause with nominal feature and syntactic analysis is the study of laws of sentence constructions. And Chomsky’s Generative Grammar is a very useful method to analyse a sentence in an explanatory way. This paper aims to focus on how to understand a nominal clause under Generative Grammar (GG) for the explanatory adequacy. In doing so, it will give a brief explanation to the generative mechanisms of simple sentence under GG, then move on to the similar mechanisms of complex sentence, here, it will focus on nominal clauses. On the syntactic analysis of nominal clauses, there are two steps: first recognizing its position in the whole sentence, then picking a proper connective for the nominal clause. Notice this paper will analyse a complex noun sentence for two sentences, one is the whole sentence, and another is the small clause, namely, the nominal clause within the whole sentence. Thus, it can conclude a way to analyse nominal clauses syntactically, and understand their inner constructions. Furthermore, it can explain why a nominal clause form like this and have a better understanding of complex sentences. More importantly, such method can play its role in linguistics and foreign language teaching, which would help language teachers build up a better understanding of the nature of language and the process of language learning.

Transforming Literacy and Social Skills through Storytelling in a Community-Based Setting

The research question of this study evaluates the impact that the storytelling tradition at Rumah Baca Rambutan has on children concerning literacy, emotions, social skills, and creativity. Through the qualitative case study, the study discovers that storytelling enhanced the children’s reading appreciation, language, and literacy learning as well as culture. Emotional literacy interconnection was also achieved through the use of storytelling since learners developed empathy and social relationships with characters. In addition, storytelling can develop creative thinking and imagination, through which children can act as main constructors of narratives what would support their cognitive flexibility and problem solving. Notably, the study enjoys the use of storytelling in the passing of cultural values of a certain group besides enhancing the sense of belonging in children. The study contributes to the knowledge that informal narrative intervention enhancing formal and community learning can promote literacy, well-being, and cultural identity when implemented in low and rural context, such as Indonesia. Implications of these outcomes for reform in education include the need to embrace cultural production approaches that are educationally relevant so as to facilitate consideration of children’s developmental experiences.

Fostering Inclusive Learning and 21st‐Century Skills: Creating Translanguaging Spaces in University Content and Language Integrated Learning Courses

ABSTRACTContent and Language Integrated Learning (CLIL) is an innovative educational approach applicable to diverse settings. CLIL promotes 21st‐century skills, including logical and critical thinking, problem‐solving, creativity, collaboration, and cross‐cultural awareness. In Asia, particularly Japan, CLIL has predominantly focused on English language acquisition, often overshadowing its broader goal of developing other skills. Accordingly, a new language course has been developed to enhance both language proficiency and 21st‐century skills among Japanese and English learners at an international university in Japan. This study presents findings from a larger case study that examines student and teacher experiences within the new CLIL framework, leveraging translanguaging pedagogy. Analyzing student reflections and interviews, this study highlights the role of translanguaging in enhancing 21st‐century skills such as leadership, critical thinking, and collaboration, particularly in group projects. However, deeply ingrained monolingual beliefs pose challenges to students fully embracing translanguaging methods, despite their educational value. This study provides insights for educators and policymakers advocating innovative language programs, particularly in fostering global citizenship and diverse skillsets essential in contemporary contexts. It also highlights the importance of integrating language learning with broader skill development in multicultural educational environments.

The use of MALL EFL students at school level perceptions and challenges

With the ubiquity of technology, the demand to utilize technological tools in education has increased, particularly in learning and teaching English as a foreign language. This study aimed to explore the attitudes and difficulties associated with mobile-assisted language learning (MALL) among English as a foreign language (EFL) students in Saudi Arabian schools. The research follows the quantitative method and employs the technology acceptance model with suggested external factors as the framework of the study. The questionnaire, comprising 29 items in the Likert scale style, serves as the study's main tool. 31 third-grade high school students, from Al Madinah Al Munawwarah educational directorate, recruited in the study. For analysis, the proposal model is analyzed using the structural equation modeling (SEM) method. As a result, the study found largely positive attitudes toward using MALL for learning English. Moreover, the mean score analysis revealed a high percentage of mobile device ownership, potentially leading to significant time spent on these devices. However, the study found some challenges for the students that prevent them from using MALL effectively, such as the lack of school support and the high cost of some EFL learning applications. Future studies should expand the sample size and consider additional variables that could influence students' MALL utilization.

ChatGPT in language education: Centering learner voices

Within educational linguistics and applied language studies, the debut of ChatGPT has spurred significant scholarship analyzing its potential benefits and consequences in language teaching and learning. However, limited empirical research on factors influencing language learners’ use or non-use of ChatGPT exists. From an ecological theoretical perspective, an understanding of this (non)usage is nevertheless essential: a nuanced understanding of if, how, and why language learners use these tools is necessary to craft meaningful approaches to ChatGPT and other similar generative AI tools in the language classroom. To address this gap, the current article reports on an online survey of 173 learners of non-English languages at a large public university in the United States. Survey data were analyzed using descriptive statistics and iterative qualitative coding (e.g., thematic analysis). Analysis revealed a large majority of participants (74%) elected not to use ChatGPT in their language learning. The article subsequently explores the factors that influenced this non-use, namely policies; concerns about ethics both inside and outside the language classroom (e.g., concerns about cheating, intellectual theft, and questions of fairness); beliefs about tool limitations; considerations of the potential negative impacts on language learning; and reflections on education more broadly. We discuss the implications of these findings in relation to the role of digital literacies in language education; the production of knowledge in education; and the meaning of language study, including actionable items in the language classroom.

Designing Effective Pedagogical Activities to Enhance Grammar Understanding and Communicative Competence in Intermediate-Level Adult SL Learners

This article explores strategies to enhance the grammatical understanding and communicative competence of intermediate-level adult second language learners by designing targeted pedagogical activities. It focuses on how pre-task, while-task, and post-task activities can effectively support learners in grasping complex grammatical concepts and applying them in real-world communicative scenarios. The study emphasizes that using grammar in authentic contexts significantly improves learners ability to communicate fluently in English, bridging the gap between theoretical knowledge and practical application.By integrating theory with practice, the article underlines the importance of designing teaching activities that are not only engaging but also aligned with the specific learning needs of adult students. The pre-task phase activates prior knowledge and introduces essential terms, while the while-task phase deepens understanding through critical discussion and note-taking. The post-task phase reinforces the application of learned grammar through role-plays and reflective writing, ensuring that learners can transfer their grammatical knowledge to everyday communication situations.Furthermore, the article provides practical insights into teaching strategies that foster active learning and critical thinking, encouraging learners to not only memorize grammar rules but also use them creatively in meaningful interactions. These strategies offer valuable guidance for educators in creating more effective grammar instruction plans tailored to adult learners' unique needs, ultimately enhancing both their linguistic proficiency and problem-solving skills.

Exploring Students’ Perceptions of Role-Playing Activities in Boosting English Speaking Confidence

This study explores students’ perceptions of role-playing as a pedagogical approach in language learning. A questionnaire was administered to 112 participants to gauge their views on the effectiveness of role-playing in enhancing language proficiency. The results indicate a generally favorable perception among students, highlighting role-playing’s ability to simulate real-life situations, promote engagement, and foster creativity in language use. Participants reported that role-playing activities effectively facilitated the practice of spontaneous language production and enhanced student engagement. Various types of role-playing activities were evaluated, revealing that scripted role-playing increased confidence, semi-scripted formats supported the use of set phrases, and improvised role-plays improved fluency. Additionally, students recognized benefits such as improved speaking fluency and pronunciation. However, challenges such as performance anxiety and time management issues were also identified. This research highlights the significant potential of role-playing in language education while addressing the associated challenges, suggesting that careful implementation can maximize its benefits.

Finding the human in an era of machine intelligence: A flat ontological analysis of generative AI and language learning

Amid the optimism of generative Artificial Intelligence (gen-AI) in language education, there remains a weak connection to learning practices. The emergence of gen-AI has preceded considerations of how it should be applied in teaching and learning. However, while gen-AI has been justified in terms of the possibilities to enhance learner agency by expanding opportunities to engage with language, such as through the generation of content or the translation of texts, it can also take power away from learners. How can learners be self-determining in light of how choices become increasingly guided by Artificial Intelligence? In this paper, I conceive the arrangements of humans and software as an assemblage of complex and dynamic social, and technical processes. Drawing on a flat ontology, where all agents (human and non-human, material and subjective) have equal ontological status, I argue that learner agency has its origins in the messy and lively interactions between heterogenous actors. In particular, I consider active and passive affects as being part of the same process: active when we bring something into effect ourselves, passive when our self-determination is changed not by our own power, but through external forces acting on it (such as gen-AI). From this, I explore the constraining and enabling potential of artificial intelligence. Finally, I extend this discussion to the emergence of learner agency.

Explanations for language choice in the social context of the L2 classroom

AbstractThe use of students’ first language (L1) in additional language (L2) instruction has been a recurring theme in language education research. While research has documented the amount of L1 use and its purposes in L2 instruction, little research has investigated the multifaceted motives that influence language choices at the micro level of social activity where language learning takes place. This study contributes new perspectives by exploring the beliefs of teachers and students from two cases of Norwegian use during English lessons, applying video‐stimulated recall in semistructured interviews to elicit reflections about observed language choices in concrete classroom interactions. The findings revealed the complexity of factors influencing language choice in the L2 classroom. First, although teachers agreed on a mainly English ideal, competing beliefs led to varying instructional practices. Second, monolingual ideals were stronger among the students in comparison with their teachers, but these ideals operated alongside an affective dimension of language choice in interactions with the teacher and group work with peers. The study demonstrates how teacher and student beliefs are influenced by macro‐level sociopolitical discourses about multilingualism and indicates that language choice is influenced by such beliefs in combination with more temporary stances and roles.

Teaching the Basics Brilliantly or Reinforcing Yet Another Subject Hierarchy?

AbstractThe New Zealand Curriculum is comprised of eight compulsory learning areas: English, the arts, health and physical education, learning languages, mathematics and statistics, science, social sciences, and technology. Collectively, these learning areas are intended to provide children with a broad and balanced education. Despite this, the National-led government have introduced a new education policy titled Teaching the Basics Brilliantly. As this policy is focused exclusively on reading, writing, mathematics, and science, a hierarchy of subjects will likely be reinforced. This article examines the different aspects of the Teaching the Basics Brilliantly policy and discusses the implications of privileging three of the eight learning areas.

Teaching with ChatGPT as a linguistically responsive tool for multilingual learners

This study investigates the instructional applications of ChatGPT and other AI tools in the context of K-12 multilingual learner (ML) education in US public schools. Framed within a translanguaging lens, the research seeks to empirically document how these technologies are used by teachers to support language and literacy learning among MLs. Data was collected from two cohorts of in-service teachers enrolled in a professional development course focused on culturally and linguistically responsive pedagogy, with classroom observations and post-observation interviews conducted with 42 teachers across various grade levels and content areas. The findings reveal several key practices, including using ChatGPT to facilitate communication, differentiate content, provide structured support for prompting, and engage in multimodal literacy experimentation. These practices align with dimensions of translanguaging pedagogy, particularly in terms of affordances, production, and co-labor, although gaps remain in the areas of assessment and reflection. The study highlights the potential of AI tools to enhance MLs’ linguistic responsiveness and agency, while also emphasizing the need for critical engagement and explicit instruction to address the challenges and ethical considerations associated with AI integration in education.

SignifAI: French sign language translation based on deep learning and large language models

In this project, we propose SignifAI which is an AI-powered software that translates French Sign Language into spoken French. The goal of SignifAI is to remove the language barrier that separates the deaf and hearing communities. The translation process proves to be a major challenge for existing methods, as most of them rely on traditional Natural Language Processing (NLP) methods which solve the task in a similar way as spoken languages (e.g., paying more attention to the logics and reasoning). The drastic syntactical difference between sign and spoken languages, however, makes such approaches not as effective and efficient. In SignifAI, we propose to leverage a combination of deep learning models for sign gesture recognition and large language models (LLM) for sentence generation from recognized words. The former allows for precise detection of individual words, while the latter takes the recognized words as inputs and returns a fluently reformulated translated sentence. With extremely limited data available for French sign language, we created our own enhanced dataset through synthetically augmenting existing videos. Utilizing the SlowFast model for this task, we have achieved a maximum test accuracy of 98.9%, and a fluid translation process after implementing ChatGPTs API. The potential applications of SignifAI range from aiding communication between the deaf and the hearing, to helping the deaf place phone calls in numerical services. Ultimately, SignifAI strives to improve all aspects of a deaf persons life, and compensates for their speaking disabilities.

Young language learners and the intercultural domain

Young language learners and the intercultural domain