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This study explores the impact of interactive games on the English vocabulary mastery of grade XI Animal Nursing students at the Kupang State Agricultural Vocational School. Given the low level of vocabulary mastery in vocational high school students, the study aims to investigate how using Gamestolearnenglish.com, an interactive game-based platform, can enhance vocabulary skills. A quasi-experimental design with pre- and post-treatment assessments was implemented. The results showed a significant improvement in students' vocabulary mastery, with the average score rising from 73.70 to 83.52, an increase of 9.82 points. The Shapiro-Wilk test confirmed the normality of the data, and a paired-sample t-test revealed a significant difference between the pre- and post-assessment (p = 0.000). This suggests that the use of interactive games significantly contributes to the enhancement of students' ability to recognize, understand, spell, and use vocabulary. These findings highlight the effectiveness of game-based learning in improving English vocabulary skills among vocational high school students, particularly in agricultural fields.

The advancement of information technology has increased young children’s exposure to digital devices, which potentially affects language development. This study aims to analyze the relationship between daily screen time duration and language development of children aged 5–6 years in Desa Mendalo Indah, Kecamatan Jambi Luar Kota, Kabupaten Muaro Jambi. This research employed a descriptive qualitative approach with a case study design. The subjects were six children aged 5–6 years who had more than two hours of daily screen time. Data were collected through observations of children’s language abilities, interviews with parents, and documentation of daily activities, and analyzed using Miles and Huberman’s (2014) interactive model, including data reduction, data display, and conclusion drawing. The results showed variations in children’s language abilities despite having relatively similar screen time durations. Children who received active parental guidance and accessed educational content demonstrated better receptive and expressive language skills, including following sequential instructions, forming simple sentences, and expressing ideas verbally. Conversely, children who used screen time passively without supervision tended to have limitations in vocabulary acquisition, concentration, and verbal interaction. These findings indicate that screen time duration alone is not the sole determinant of children’s language development; it is also influenced by the quality of parental guidance, the type of content accessed, and social interaction experiences. This study is expected to provide guidance for parents, teachers, and early childhood education practitioners in managing digital media use wisely to optimally support children’s language development.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.

Reading literacy in early childhood is an important foundation for children's cognitive, language, and social development in subsequent educational stages. Literacy in early childhood can begin through letter recognition, fostering interest in printed materials, enriching vocabulary, and developing oral communication skills. At this stage, the initial skill that needs to be developed is the introduction of written language through reading activities tailored to the child's developmental characteristics. However, early childhood's ability to understand reading literacy shows significant differences, both in terms of interest, ability, and environmental support. This condition indicates that reading literacy understanding in early childhood is not evenly distributed. Therefore, this community service activity aims to provide reading literacy education to early childhood through a fun, interactive, and contextual approach. The activity methods include reading assistance, the use of visual media, and the active involvement of educators and parents. The results of the activity show an increase in reading interest, letter recognition skills, and children's positive responses to literacy activities. This activity is expected to be a sustainable effort to support the strengthening of reading literacy in early childhood education.

Communication is a fundamental human need for conveying information and ideas. However, individuals who are deaf and mute face difficulties in communicating with the broader community that does not understand sign language. This study aims to design and implement a real-time static sign language translator into speech using five flex sensors, an MPU6050 sensor, a Raspberry Pi Pico, an ADS1115 ADC module, and a DFPlayer Mini module as the audio output medium. Testing results show that the device successfully recognizes finger movements and hand orientation. The system is capable of playing audio output corresponding to recognized gestures, with the shortest latency recorded at 1.1 seconds and the longest at 2.8 seconds, achieving a detection accuracy rate of 75% based on 60 tests across 12 sign words. This device supports the translation of 12 simple sign words. The implementation demonstrates potential as an assistive communication tool, although further development is needed to improve accuracy, expand vocabulary, and conduct trials directly with deaf or mute users.

This study is a scholarly work by a student of the Early Childhood Education Teacher Education Program, Faculty of Education, Universitas Negeri Gorontalo, supervised by Dra. Rapi Us. Djuko as the first advisor and Mr. Nunung Suryana Jamin, SE, M.Si as the second advisor. The objective of this research is to provide a comprehensive overview of foreign language development achievements among early childhood learners in Group B at TK Nurul Ilmih. The study adopts a qualitative descriptive approach, utilizing observation, in-depth interviews, and documentation as data collection methods. A total of 22 children participated as the primary subjects and were actively involved throughout the observation process. The research focused on several linguistic aspects, including language comprehension, verbal expression, basic vocabulary usage, pronunciation ability, and children's responses to bilingual instructions (in both Indonesian and English). The findings indicate that the children’s foreign language development falls within the "developing as expected" category, although it has not yet reached an optimal level. Some children still encounter difficulties in pronouncing English vocabulary, constructing simple sentences, and understanding verbal commands. Several factors influence the progress of their language development, including family background, parenting style, the intensity of teacher-provided stimulation, and habitual exposure to foreign languages in daily school activities. The study concludes that consistent, engaging, and developmentally appropriate stimulation from both teachers and parents plays a crucial role in fostering bilingual proficiency in early childhood.

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

This research is motivated by problems related to obstacles in the ability to master English vocabulary, in which children find it very difficult to memorize English words, the accuracy of pronouncing English vocabulary delivered by the teacher, especially when memorizing vocabulary with more than one syllable as well as the presence of errors or inaccuracies in pronunciation and in answering the intended meaning during English learning activities. The reality found in the field shows that the children’s English vocabulary ability has not yet demonstrated significant success. Out of a total of 12 students, only 4 children have the expected level of ability. The purpose of this study is to describe efforts to improve children’s English vocabulary using the singing method. The benefits of this research include improving students’ English vocabulary skills, encouraging teachers to become more creative and innovative, and contributing to school quality improvement. This study uses Classroom Action Research (CAR) with two cycles, and each cycle consists of two meetings. The research was conducted at PAUD An-Nur located in East Pontianak. The improvement actions implemented showed satisfactory results. In Cycle I, children’s ability to pronounce English vocabulary reached 33%, which was still below the Minimum Mastery Criterion (MMC) of 70%. Furthermore, in Cycle II, the results reached 83%, which was already above the MMC. It can be concluded that the singing method is effective in improving children’s English vocabulary.

This study aims to analyze the change in word choice in Indonesian children's songs from the classical to modern times as a reflection of the shift in the social environment in the digital era. This study uses a descriptive qualitative approach with a content analysis method on eight children's songs, consisting of four classic songs by A. T. Mahmud and four popular modern songs on digital platforms such as YouTube. The results showed that classical songs highlight concrete and local vocabulary that describe children's closeness to nature, family, and moral values, while modern songs are dominated by global, repetitive, and phonetic vocabulary that reflect the influence of globalization and the digital lifestyle of today's children. In addition, modern songs tend to contain simple expressions that are easy to remember, but have minimal educational value compared to classical songs that are more loaded with moral messages. This shift shows that the language in children's songs not only serves as a medium of entertainment, but also reflects the changing social and cultural values of Indonesian society. Therefore, the study of children's song language is important to understand the dynamics of popular cultural development that affects the process of character formation of the younger generation.

Narrative writing skills are crucial for the literacy development of elementary school students. However, many students face challenges in writing narrative essays due to limited vocabulary, grammar understanding, and imagination. Traditional teaching methods often fail to address these issues. This study explores the impact of AI-based Deep Learning on narrative writing skills. Using a quantitative approach with an experimental design, the research employed a pretest-posttest design with a nonrandomized control group. The study involved 65 students from SD 4 Sidomulyo, including 30 students from class IV A and 35 from class IV B. A nonprobability sampling technique with saturated sampling was used. Data was collected through tests, and content validity was applied for validation. Hypothesis testing with the Independent Samples t-test yielded a significance value of 0.001 (p < 0.05) and a calculated t-value of 3.472, which is greater than the t-table value of 2.0024. These results indicate that AI-based Deep Learning significantly affects narrative writing skills in elementary school students. Keywords: AI-Based Deep Learning, Narrative Writing Skills.

Strengthening 21st century character and skill education is an important demand in today's learning transformation. Game-Based Learning (GBL)-based approaches such as Ludo are believed to present a learning process that is meaningful, fun, while forming positive values. This study aims to review and compare the results of previous studies on the application of GBL in the development of character and skills in the 21st century, especially in Arabic language learning. The method used is a simple systematic literature review of 12 scientific articles published in 2015–2025 obtained from selected scientific databases. The analysis was conducted based on three main dimensions: the game medium, the focus of learning (characters, 4Cs, vocabulary), and the method approach. The results of the study show that GBL is generally effective in improving vocabulary mastery and fostering collaboration, communication, and character values of students. Ludo media in particular has proven to be relevant as a means of value-based learning and interaction. However, studies that explicitly integrate Ludo-based GBL in Arabic language learning are still limited. This research is expected to be a conceptual basis for the development of innovative learning media that is integrative and in accordance with the challenges of 21st century education.

Challenges faced by accounting students in producing accurate financial statements aligned with international standards, notably due to limited English proficiency. Therefore, this study examines the influence of accounting English vocabulary mastery and accounting concept comprehension on students ability in preparing financial statements in English. This study employed a quantitative method with a survey approach and multiple linear regession analysis. The research subjects are 81 accounting department students at Politeknik Negeri Banjarmasin taken with purposive sampling. Data was collected using a questionnaire and a performance task to measure vocabulary mastery, conceptual understanding, and the ability to prepare financial statements. The findings show that accounting English vocabulary mastery has a significant positive effect on students’ ability to prepare financial statements in English, while comprehension of accounting concepts does not show a significant individual effect. The adjusted R-squared value of 0.627 indicates that both variables together explain 62.7% of the variance in students’ ability. These findings emphasize that technical vocabulary mastery is a dominant factor enabling students to apply conceptual knowledge effectively in English-based financial reporting. It also highlights the importance of English for Specific Purposes (ESP) strategies in accounting education and suggests integrating vocabulary-focused learning methods to enhance students’ readiness for global accounting practices.

This study investigates students’ perceptions of Smalltalk2Me, an artificial intelligence (AI)-powered conversational assistant designed to improve speaking skills in classroom learning. The main objective of this research is to explore how students perceive the tool’s effectiveness, usefulness, interactivity, and overall learning experience when using it for speaking practice. The research employed a qualitative descriptive method, with data collected through semi-structured interviews involving students who had used Smalltalk2Me as part of their English-speaking activities. The interview data were analyzed thematically to identify emerging patterns related to engagement, motivation, and skill development. The findings reveal that students view Smalltalk2Me as an effective and accessible tool that enhances speaking fluency and confidence since it allows practice anytime and anywhere. Students also appreciate its realistic conversation simulations and personalized feedback, which help them recognize pronunciation errors, improve vocabulary use, and refine sentence structure. Additionally, the AI assistant creates a supportive and low-anxiety learning environment, making learners more comfortable expressing themselves in English. Overall, the study concludes that Smalltalk2Me serves as a valuable supplementary tool for improving students’ speaking competence and fostering autonomous learning in technology-enhanced language classrooms.

In this study, an interactive learning medium was developed to practice German A1-level vocabulary with the theme “Freizeit”, based on a website created using Genially. This research is classified as development research, in which the development process of the learning medium employed the ADDIE model, consisting of five stages: analysis, design, development, implementation, and evaluation. The study was conducted in the German Language Education Study Program at Universitas Negeri Medan. The research data consisted of vocabulary on the theme “Freizeit”, taken from the Netzwerk textbook and other online sources. The research subjects were second-semester students of the 2024 cohort. The instruments used included questionnaires, pretest and posttest, expert validation sheets, and documentation. The results of the validation from media experts and material experts indicated that the medium was suitable for use in learning, with scores of 92% and 89%, respectively. The trial conducted with students showed a positive response with an average score of 91%. The students’ average pretest score was 58.3, which increased to 84.7 in the posttest. Statistical tests revealed that the calculated t-value (12.45) was greater than the critical t-table value (2.045), indicating a significant difference between the pretest and posttest results. Thus, the use of the Genially interactive learning medium proved effective in improving German A1 vocabulary mastery and was able to create a more engaging and interactive learning atmosphere while supporting independent learning.

In German language courses at universities, students must learn four skills: reading, writing, listening, and speaking. To master these four skills, students must have a good command of vocabulary, as this is the foundation needed to master the German language. This software does not require programming code, so users can easily add graphics and sounds to the game. Without vocabulary, skills such as reading, writing, speaking, and listening cannot be performed. This study aims to create a Construct 2 application that can be used by college students to increase their A1 level German vocabulary. The data for this study is A1 level German vocabulary with the theme “Guten Appetit,” and another source of data is the book “Netzwerk neu A1 Kursbuch” published by Ernst Klett Sprachen GmbH in 2019. This research will be conducted in the foreign language laboratory at UNIMED. The application will be tested by subject matter experts and learning media experts. This research will be published in a nationally indexed journal.

The background of this research highlights the crucial role of vocabulary mastery in children’s language development, which significantly impacts their social interactions and learning processes. This study focuses on developing the Magic Star Box as a learning medium aimed at enhancing the gross motor skills of children aged 4–5 years. The Magic Star Box is an adaptation of stop-motion media, designed to create an engaging and enjoyable learning atmosphere by integrating words and images. The research applies a Research and Development (R&D) method, simplified into four stages: identifying potentials and problems, collecting data, designing the product, and validating the design. Validation from subject matter experts and game design experts indicated that the Magic Star Box is feasible for improving children’s vocabulary. This medium is expected to provide an innovative, engaging, and effective learning solution for young learners

This study aimed to examine the effectiveness of the Duolingo application in helping 10th-grade students at SMK Al-Kautsar Sriwijaya master English vocabulary. This research is based on the understanding that vocabulary is a crucial foundation in English language learning, and Duolingo's potential as an innovative digital learning tool. Using a quantitative quasi-experimental method, we compared two groups of students: one group learned using Duolingo (the experimental group) and the other used traditional methods (the control group). The subjects of this study were all 10th-grade students at SMK Al-Kautsar Sriwijaya for the 2024/2025 academic year. Two classes were specifically selected (purposive sampling) to be the experimental and control groups. To measure vocabulary mastery, both groups were given a pre-test and a post-test. The collected data were then quantitatively analyzed using an independent t-test to determine the difference in average post-test scores between the two groups. The analysis results showed a significant difference in vocabulary mastery between students who used Duolingo and those who did not. The experimental group's average post-test score was significantly higher. This demonstrates that the Duolingo application is effective in improving students' English vocabulary mastery. Therefore, Duolingo can be recommended as an innovative and engaging vocabulary learning tool for use in schools.

The term overthinking has become part of the everyday vocabulary among Generation Z, reflecting a tendency toward excessive deliberation in ordinary situations, including choosing food. The “Overthinking” advertisement by GoFood presents a compelling visual representation of this dilemma through metaphorical symbols such as a talking forehead, piles of clocks, and zodiac characters that construct a complex visual narrative of indecision. This study aims to examine how symptoms of overthinking are visually represented in the advertisement using Roland Barthes’ semiotic approach. The research employed a qualitative method, utilizing observation and documentation techniques to analyze visual structures across scenes. The findings reveal that the advertisement conveys its message through denotative, connotative, and myth-based signs, illustrating how Generation Z interprets the burden of choice in a digital cultural context. The results demonstrate how visual communication strategies can foster empathy while offering solutions to the everyday anxieties of a young audience. This study contributes to the development of visual semiotics discourse in the field of visual communication design and offers insights for advertising practices grounded in social issues.

This study examines the implementation of the Duolingo application in teaching English skills to eleventh-grade students at SMA Negeri 1 Tasifeto Timur. With the increasing integration of technology in education, this research aims to evaluate the effectiveness of Duolingo as a tool for enhancing language acquisition and engagementt among learners. Through a mixed-methods approach, the study analyzes student performance, engagement levels, and overall satisfaction with the application compared to traditional teaching methods. The results indicate a significant improvement in vocabulary retention, grammatical proficiency, and conversational skills among students utilizing Duolingo. Additionally, qualitative feedback highlights the app's user-friendly interface and gamified learning experience as motivating factors.

Language ability is a cornerstone in early childhood development, influencing almost every aspect of life, from social interaction to cognitive skills. A rich vocabulary, the ability to understand instructions, and clear self-expression are important indicators of successful language development. Language plays a very important role in helping children build relationships with others. The process of language acquisition is not something that happens naturally without stimulus, but is highly influenced by the environment where a child grows and develops. The two main environments that play a crucial role in shaping a child's language skills are the family and the school environment.