Publication Search

This study examines the effectiveness of digital storytelling in enhancing the speaking skills of secondary EFL learners. The research responds to persistent challenges in speaking instruction, particularly students’ limited fluency, low confidence, and insufficient exposure to meaningful communicative tasks. Using a mixed methods design, the study involved an eight week intervention in which students created scripted digital stories through narration, multimedia editing, and collaborative production. Quantitative data were collected through pre-test and post-test assessments measuring fluency, pronunciation, vocabulary, and coherence, while qualitative data were obtained through observations, interviews, and student reflections. The findings reveal substantial improvements in speaking performance, especially in fluency and coherence, accompanied by increased engagement, reduced speaking anxiety, and heightened self awareness during the storytelling process. These results highlight that digital storytelling provides repeated oral practice and authentic communicative opportunities that support learners’ linguistic and affective development. The study offers implications for English teachers and curriculum designers by demonstrating that technology supported narrative tasks can be integrated into regular instruction to foster more interactive, creative, and student centered speaking learning environments.

This study aims to improve the English speaking skills of students in class XI DPIB B at SMK Negeri 2 Malinau through the application of the Problem-Based Learning (PBL) model. The background of this research is the low speaking ability of students, which is characterized by limited vocabulary, lack of confidence, and low participation during English learning activities. The research employed Classroom Action Research (CAR) using the Kemmis and McTaggart model, which was conducted in two cycles consisting of planning, action, observation, and reflection stages. The research subjects were 32 students of class XI DPIB B. Data were collected through speaking performance tests and observations of students’ learning behavior during the implementation of the PBL model. The collected data were analyzed using quantitative and qualitative techniques. The results showed a significant improvement in students’ speaking skills, as indicated by the increase in the average score from 64.00 in the pre-test to 68.75 in cycle I and 76.00 in cycle II. Furthermore, the percentage of learning completeness increased from 25% in the pre-test to 81.25% at the end of cycle II. Observational data also revealed positive changes in students’ learning behavior, including higher participation, increased motivation, and greater confidence in speaking English. These findings demonstrate that the Problem-Based Learning model is effective in improving students’ English speaking skills and learning engagement.

This classroom action research (CAR) aims to improve students’ English-speaking skills in formal communication contexts. The study focuses on second-semester students of the Business and Professional Communication Study Program at Politeknik Negeri Madiun in the 2024/2025 academic year. The main problem addressed is the students’ low ability to speak English formally and fluently. The objective is to determine whether watching YouTube videos can enhance students’ formal speaking performance. The research employed both qualitative and quantitative methods. Qualitative data were obtained from students’ performance scores before and during the implementation, while quantitative data were gathered through observations, questionnaires, and interviews to compare pre-test and post-test results. The intervention used several active viewing techniques, including active viewing, freeze framing and prediction, silent viewing, and reproduction activity. The findings indicate a consistent improvement in students’ speaking abilities across all research cycles. The average scores increased from 61.1 in the pre-test, to 63.6 in post-test Cycle I, 66.6 in Cycle II, and 70.0 in Cycle III. These results demonstrate that integrating YouTube videos with active viewing techniques effectively enhances students’ formal speaking competence. In conclusion, the use of interactive video-based learning can significantly support the development of English-speaking skills in formal contexts for vocational students.

This study examines the effectiveness of the ELSA Speak application in improving the English language skills of ninth-grade students at SMPN 1 Gondang. The problem addressed is students' pronunciation skills. The purpose of this study was to understand the learning growth before and after the use of the application, as well as to assess the value of technology in English teaching. This study used a quantitative approach with a pre-experimental design consisting of one group pre-test and post-test. A total of 38 students from Class IX A at SMPN 1 Gondang were selected purposively. Data were obtained through oral tests before and after the use of the ELSA Speak application. Data analysis was conducted using SPSS paired sample t-test, normality test, and homogeneity test. The study findings showed a significant increase in students' average performance scores, which increased from 60.65 (pre-test) to 73.82 (post-test). The statistical analysis of the paired sample t-test yielded a significance level below 0.05, indicating that the ELSA Speak application is effective in improving the English language skills of ninth-grade students at SMPN 1 Gondang. According to research findings, the ELSA Speak app is a useful resource for significantly improving students' English pronunciation. To provide creative and inspiring learning opportunities for students, it is recommended that technology-based resources like ELSA Speak be incorporated into language learning curriculum.

This study aimed to improve the English learning outcomes of 9B grade students at UPT SMP Negeri 28 Medan in the 2024/2025 academic year through the implementation of the Student Teams Achievement Division (STAD) method. This research applied a Classroom Action Research (CAR) approach conducted in two cycles. Data were collected through learning outcome tests administered in the pre-cycle, Cycle I, and Cycle II. The results showed that the STAD method improved students’ average scores from 67.125 in the pre-cycle to 73.75 in Cycle I, and further to 78.81 in Cycle II. The percentage of students achieving the Minimum Mastery Criteria (KKM) increased from 25% to 78.1%. The Wilcoxon test indicated a statistically significant difference in learning outcomes before and after the intervention. The findings suggest that the STAD method is an effective cooperative learning strategy to enhance students’ English performance and foster collaborative classroom skills. Nevertheless, teachers must consider individual differences within teams to ensure equitable learning experiences for all students.

This study presents an advanced AI-powered framework to detect and prevent cyberbullying across diverse social media platforms using a multiclass classification approach. Addressing the growing complexity and linguistic diversity of online abuse, the research integrates various machine learning (RF, LR, SVM) and deep learning (Bi-LSTM, BERT) models trained on a balanced dataset covering bullying categories based on religion, age, ethnicity, gender, and neutral content. Data preprocessing, tokenization, feature extraction via TF-IDF and CountVectorizer, and class balancing using SMOTE were applied to enhance model accuracy. The proposed system further supports real-time detection through social media APIs, offering dynamic monitoring and intervention capabilities. Among the tested models, Random Forest and BERT achieved the highest classification performance with 94% accuracy. Despite its robust architecture, limitations include dependence on English-language datasets, exclusion of multimodal data (e.g., memes, audio), and API restrictions that challenge scalability. Future development will focus on incorporating vision-language models and optimizing the system for real-time, multilingual, and multimodal environments. This study contributes to digital safety efforts by proposing a scalable and adaptive detection system suitable for safeguarding users from evolving forms of online harassment.

To improve the quality of education and learning in learning speaking in the English Education Department. Consideration of the lack of confidence in students caused by not knowing how to perform appropriately and well to appear confident to improve their speaking skill is also supported by the existence of appropriate learning media and can facilitate both students and teachers in learning to speak.  Therefore, researchers conducted research and development of Speech Practice book learning media namely “A Guide Speech Practice Book to Elevate Your Performance” The research aims to describe the design development and feasibility of the product. This type of research is Research and Development (R&D) which follows the procedure of Borg and Gall. Which includes ten stages and then simplified into five stages which include: need analysis, product development, expert validation, product try-out, and final product. After going through several stages, the product feasibility assessment was started based on the results of experts which included content experts and design expert. Based on validation from the content expert with an average value of 4.6 with a percentage of 92% with a very feasible category. The results of validation from design expert get an average value of 4.5 with a percentage of 90% with a very feasible category. Then the product validation results of student responses get a total score of 3064 with a percentage of 94.2% with a category very feasible. based on the results of research and field tests that have been described, it can be concluded that the speech practice book for students speaking skill at the English Education Department is very feasible to use for speaking learning.

In an increasingly globalized job market, English-speaking proficiency has become an essential skill, particularly for non-English major students such as those in Accounting. This study aims to identify and analyze the factors influencing the speaking performance of students in the Accounting Department, Faculty of Economics and Business, Universitas Muhammadiyah Jember. Utilizing a quantitative approach and survey method, data were collected from 218 students selected through stratified random sampling. Instruments included questionnaires measuring language anxiety, self-efficacy, learning motivation, learning environment, and exposure to English, as well as an English-speaking test. The findings reveal that internal factors such as language anxiety, self-efficacy, and learning motivation significantly influence speaking performance. Meanwhile, external factors—learning environment and exposure to English—also contribute, albeit to a lesser extent. The results suggest the need for a holistic approach in improving students’ English-speaking abilities by addressing both psychological and environmental aspects of learning.

Grammar correction has long been recognized as one of the most essential yet challenging aspects of second language (L2) learning. Teachers are expected to provide detailed and contextual feedback, but this process is often time-consuming and less effective in large classrooms. This study investigates the potential of AI-based chatbots as innovative tools for delivering personalized and real-time grammar feedback to support English language learning. The research employed an experimental design involving two groups: an experimental group using AI chatbots for grammar practice and a control group applying traditional teacher-based correction. Data were collected through grammar pre-tests and post-tests, writing tasks, engagement and motivation questionnaires, classroom observations, and student reflection notes. The findings demonstrate that students in the experimental group achieved significantly higher improvements in grammar accuracy compared to the control group, particularly in subject–verb agreement, tense usage, and complex sentence structures. In addition, chatbot use fostered greater engagement, motivation, and active participation, with students reporting reduced language anxiety and increased confidence in practicing English. Writing performance also improved, as students in the experimental group produced more structured, coherent, and grammatically varied texts. These results highlight the potential of AI chatbots not only to enhance linguistic accuracy but also to promote autonomous and personalized learning. In conclusion, AI chatbots represent an effective and scalable pedagogical tool that can complement traditional teaching methods while addressing teachers’ time constraints and improving students’ overall language learning outcomes.

This study aims to determine the effectiveness of Audio-Lingual Method (ALM) on students' pronunciation performance. Proper pronunciation is one of the important aspects in foreign language learning, especially English, which is often a challenge for students. This study was conducted using a quasi-experimental design, in which two different groups of students were given different treatments: one group was given instruction using the Audio-Lingual method, while the other group was given the conventional method. Data was collected through pronunciation tests conducted before and after the intervention. The results showed a significant improvement in the pronunciation performance of students who received treatment with the Audio-Lingual method compared to the control group. The findings support the hypothesis that the Audio-Lingual method is effective in improving students' pronunciation skills. This study makes an important contribution to language teaching, particularly in improving students' pronunciation skills through a more structured and repetitive approach.