Search Results (52)

The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) has enabled personalized sports coaching, yet a significant gap remains: translating low-level sensor data into high-level, contextualized feedback. Large Language Models (LLMs) excel at reasoning and instruction but lack a native understanding of physical kinematics. This paper introduces BoxingPro, a novel framework that bridges this semantic gap by fusing wearable sensor data with LLMs for automated boxing coaching. Our core contribution is a dedicated translation methodology that converts multi-modal time-series data (IMU) and visual data (video) into structured linguistic prompts, enabling off-the-shelf LLMs to perform sophisticated biomechanical reasoning without extensive retraining. Our evaluation with professional boxers showed that the generated feedback achieved an average expert rating of over 4.0/5.0 on key criteria like biomechanical correctness and actionability. This work establishes a new paradigm for integrating sensor-based systems with LLMs, with potential applications extending far beyond boxing to any domain requiring physical skill assessment. Full article

The global expansion of Korean language education has created an urgent need for scalable, objective, and consistent methods for assessing the writing skills of non-native (L2) learners. Traditional manual grading is resource-intensive and prone to subjectivity, while existing Automated Essay Scoring (AES) systems often struggle with the linguistic nuances of Korean and the specific error patterns of L2 writers. This paper introduces a novel hybrid AES system designed specifically for Korean L2 writing. The system integrates two complementary feature sets: (1) a comprehensive suite of conventional linguistic features capturing lexical diversity, syntactic complexity, and readability to assess writing form and (2) a novel semantic relevance feature that evaluates writing content. This semantic feature is derived by calculating the cosine similarity between a student’s essay and an ideal, high-proficiency reference answer generated by a Large Language Model (LLM). Various machine learning models are trained on the Korean Language Learner Corpus from the National Institute of the Korean Language to predict a holistic score on the 6-level Test of Proficiency in Korean (TOPIK) scale. The proposed hybrid system demonstrates superior performance compared to baseline models that rely on either linguistic or semantic features alone. The integration of the LLM-based semantic feature provides a significant improvement in scoring accuracy, more closely aligning the automated assessment with human expert judgments. By systematically combining measures of linguistic form and semantic content, this hybrid approach provides a more holistic and accurate assessment of Korean L2 writing proficiency. The system represents a practical and effective tool for supporting large-scale language education and assessment, aligning with the need for advanced AI-driven educational technology systems. Full article

This study investigates how Estonian L1 students with high self-perceived English proficiency experience and (re)produce the language ideological regime at the University of Tartu. Situated within the broader context of globalization and Englishization in higher education, and informed by scholarships on language ideologies, critical language policy, and stakeholder perspectives within EMI, the study explores how students position themselves in relation to their peers and academic staff, and how they evaluate the advantages and challenges associated with different language repertoires. The analysis is based on 17 semi-structured interviews conducted in 2024 with students enrolled in Estonian-medium programs that incorporate English expectations and practices. Findings show that students perceive their repertoire as an asset, granting full access to academic content and networks. Yet, their accounts also reveal challenges related to academic literacy. Students position themselves as competent users of English and sometimes question the legitimacy of those with perceived weaker skills. The study highlights how English privilege and native-speakerism intersect to shape perceptions of academic competence and authority. It calls for great attention to stratifying language ideologies to foster more inclusive and equitable academic environments. Full article

The understanding of hidden emotions—situations in which individuals deliberately express an emotion different from what they genuinely feel—is a key skill in theory of mind (ToM) development. This ability allows children to reason about discrepancies between internal emotional states and external expressions and is closely tied to linguistic development, particularly vocabulary related to mental states, which supports complex emotional reasoning. Children who are deaf or hard of hearing (DHH), especially those born to hearing non-signing families and raised in oral language environments, may face challenges in early language exposure. This can impact the development of social and emotional skills, including the ability to understand hidden emotions. This study compares the understanding of hidden emotions in hearing children (n = 59) and DHH children (n = 44) aged 7–12 years. All children were educated in spoken language environments; none of the DHH participants had native exposure to sign language. Participants completed a hidden emotions task involving illustrated stories where a character showed a certain emotion in front of two observers, only one of whom was aware of the character’s true emotional state. The task assessed children’s understanding of the character’s emotional state as well as their ability to reason about the impact of hiding emotions on the beliefs of the observers. The results showed that the hearing children outperformed their DHH peers in understanding hidden emotions. This difference was not attributed to hearing status per se but to language use. Specifically, children’s spontaneous use of cognitive verbs (e.g., think or know) in their explanations predicted task performance across the groups, emphasizing the role of mental state language in emotional reasoning. These findings underscore the importance of early and accessible language exposure in supporting the emotional and social cognitive development of DHH children. Full article

Chinese lacks explicit word boundary markers, creating frequent temporary segmental ambiguities where character sequences permit multiple plausible lexical analyses. Skilled native (L1) Chinese readers resolve these ambiguities efficiently. However, mechanisms underlying word segmentation in second language (L2) Chinese reading remain poorly understood. Our study investigated: (1) whether L2 readers experience greater difficulty processing temporary segmental ambiguities compared to L1 readers, and (2) whether visual boundary cues can facilitate ambiguity resolution in L2 reading. We measured the eye movements of 102 skilled L1 and 60 high-proficiency L2 readers for sentences containing temporarily ambiguous three-character incremental words (e.g., “音乐剧” [musical]), where the initial two characters (“音乐” [music]) also form a valid word. Sentences were presented using either neutral mono-color displays providing no segmentation cues, or color-coded displays marking word boundaries. The color-coded displays employed either uniform coloring to promote resolution of the segmental ambiguity or contrasting colors for the two-character embedded word versus the final character to induce a segmental misanalysis. The L2 group read more slowly than the L1 group, employing a cautious character-by-character reading strategy. Both groups nevertheless appeared to process the segmental ambiguity effectively, suggesting shared segmentation strategies. The L1 readers showed little sensitivity to visual boundary cues, with little evidence that this influenced their ambiguity processing. By comparison, L2 readers showed greater sensitivity to these cues, with some indication that they affected ambiguity processing. The overall sentence-level effects of color coding word boundaries were nevertheless modest for both groups, suggesting little influence of visual boundary cues on overall reading fluency for either L1 or L2 readers. Full article

Orthographic knowledge is a critical component of skilled language use, yet its large-scale behavioral signatures remain understudied in Spanish. To address this gap, we developed OrthoKnow-SP, a megastudy that captures spelling decisions from 27,185 native Spanish-speaking adults who completed an 80-item forced-choice task. Each trial required selecting the correctly spelled word from a pair comprising a real word and a pseudohomophone foil that preserved pronunciation while violating the correct graphemic representation. The stimuli targeted six high-confusability contrasts in Spanish orthography. We recorded response accuracy and reaction times for over 2.17 million trials, alongside demographic and device metadata. Results show robust variability across items and individuals, with item-level metrics closely aligned with independent norms of word prevalence. A composite difficulty index integrating speed and accuracy further allowed fine-grained item ranking. The dataset provides the first population-scale norms of Spanish spelling difficulty, capturing regional and generational diversity absent from traditional lab-based studies. Public release of OrthoKnow-SP enables new research on the cognitive and demographic factors shaping orthographic decisions, and provides educators, clinicians, and developers with a valuable benchmark for assessing spelling competence and modeling written language processing. Full article

Hulstijn’s BLC Theory proposes a dissociation between cognitive individual differences and two types of cognition—the cognition of oral language and the cognition of written language. Specifically, cognitive IDs are expected to affect the acquisition of reading and writing skills in both native and non-native speakers, but not the acquisition of speech comprehension and speech production in either native or non-native speakers. This commentary will discuss the potential and the limitations of these predictions and will suggest directions for future empirical research in the context of BLC Theory. Full article

Despite the limited academic focus on the context of Official Language Schools (OLSs), these institutions play a crucial role in the formal education system, which are exclusively dedicated to foreign language teaching across various modalities in Andalusia, where ten different languages are taught. The main aim of this study is to perform an analysis the following two specific aspects: first, a descriptive analysis of the digital competence of 105 OLS teachers, and, second, a contrastive analysis examining potential differences in digital competence based on the language and teaching modalities (e.g., face-to-face vs. blended learning). This study uses the DigCompEdu framework to evaluate the digital skills of the teachers, revealing that, while they receive some training in digital competence, the overall level is only moderate, indicating a significant need for further professional development. Notably, the study highlights that the teachers’ ability to convey the importance of digital tools for educational purposes is a crucial area, particularly in an environment where digital natives and immigrants coexist, presenting an intergenerational digital divide. The contrastive analysis shows no significant differences in digital competence based on language or modality, pointing to the lack of specialized training for blended learning teachers, who must rely heavily on technology in their work. This study suggests future research should focus on the digital competence of students, considering age as a potential influential factor in language learning, and recommends designing a tailored digital competence training plan for OLS teachers based on the DigCompEdu framework, which could benefit foreign language educators broadly. Full article

This study examines how Japanese Generation Z, “digital natives” currently in higher education, engage in cross-cultural learning and develop global skills. In the modern digital era, encountering and studying international topics, cultures, and languages is no longer limited to the traditional physical movement of people to acquire new experiences. We seek to investigate a modernized educational model for intercultural exchange, learning, and internationalization that emphasizes the technological information, platforms, and tools that the digital native generation uses daily. We use survey data from 123 Japanese higher-education students to investigate this subject and help reveal how they can operate and learn global skills in an increasingly digital landscape. Our findings indicate a strong desire to gain intercultural competence through digital sources, remote communications, and interactions with inbound international students. Digital information provides a significant opportunity for students to gain foundational international knowledge and competencies without the level of investment and limited accessibility of traditional study-abroad programs. We consider the pros and cons of integrating digital information into future academic endeavors. Full article

Humans segment speech naturally based on the transitional probabilities between linguistic elements. For bilingual speakers navigating between a first (L1) and a second language (L2), L1 knowledge can influence their perception, leading to transfer effects based on phonological similarities or differences. Specifically, in Spanish, resyllabification occurs when consonants at the end of a syllable or word boundary are repositioned as the onset of the subsequent syllable. While the process can lead to ambiguities in perception, current academic discussions debate the duration of canonical and resyllabified productions. However, the role of bilingualism in the visual perception of syllable and word segmentation remains unknown to date. The present study explores the use of bilingual skills in the perception of articulatory movements and visual cues in speech perception, addressing the gap in the literature regarding the visibility of syllable pauses in lipreading. The participants in this study, 80 native Spanish speakers and 195 L2 learners, were subjected to audio, visual-only, and audiovisual conditions to assess their segmentation accuracy. The results indicated that both groups could segment speech effectively, with audiovisual cues providing the most significant benefit. Native speakers performed more consistently, while proficiency influenced L2 learners’ accuracy. The results show that aural syllabic segmentation is acquired at early stages of proficiency, while visual syllabic segmentation is acquired at higher levels of proficiency. Full article

The four basic language skills, listening, speaking, reading, and writing play, a crucial role in the development of an individual’s skills in other disciplines. The current study aims to underpin the relationship between language skills and mathematics skills by focusing on the language and mathematics curricula of two consistently high-achieving countries, Hong Kong and Singapore, in the Program for International Student Assessment (PISA) rankings. In the current study, the convergent parallel mixed method was utilized that qualitative and quantitative data were composed together. Primarily, the outcomes of four language skills were determined in the native language teaching curricula of the two countries. The topics and themes related to four basic language skills were determined from the two mathematics curricula. The curricula were examined by document analysis from qualitative research methods. The analysis was conducted by examining the native language teaching and the mathematics curricula of both countries by the content analysis method. Later, the findings of the document analysis were used to develop machine learning models to find a possible positive relationship between language skills and the PISA scores. Although a number of previous studies have found a reasonable relationship between language skills and mathematics skills, the current study results were contradictory to the ones performed previously in the literature, and considering the curricula no positive relationship between the language and mathematics skills was found. The findings of the current study were further supported by the artificial neural network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) model performance metrics. Compared to an acceptable level of 0.80, significantly low R² values of 0.35 and 0.39 for the ANN and ANFIS models, respectively, indicated very little relationship between the language and mathematics skills. Full article

The Calgary–Cambridge Guide is a widely recognised framework for teaching communication skills to healthcare professionals that has become a cornerstone of communication training programs in medicine and other healthcare fields. In the context of veterinary medicine, its integration into communication training programs has become an asset improving communication, education, interaction, and quality of service, enhancing the veterinary–client–patient relationship (VCPR). In veterinary medicine, however, a more challenging consultation dynamic involves the veterinarian, the owner, and the animal. The addition of a veterinary assistant that acts as an interpreter or translator is common in Hong Kong where the native language (Cantonese) coexists with English when consultations are led by non-native language speakers. This addition converts this commonly dyadic model into a triadic communication model. The addition of an assistant interpreter influences the way consultations are conducted, how information is conveyed, and how interpersonal cues and empathy are delivered. In this report we depict challenges applying the Calgary–Cambridge Guide in multicultural and multilingual veterinary medical centres in Hong Kong and highlight the role of veterinary supporting staff in these scenarios, specifically veterinary assistant interpreters. Full article

Hebrew and Arabic are Semitic languages that use abjad alphabets, a consonant-primary writing system in which vowels are featured as optional diacritics. The relatively predictable morphology of Semitic language renders abjad writing feasible, with literate native speakers relying on grammatical and lexical familiarity to infer vowel sounds from consonantal texts. However, in the context of foreign language acquisition, abjads present unique difficulties in the attainment of literacy. Due to the absence of written vowels, learners of Hebrew and Arabic face manifold challenges, such as phonetic ambiguity, extensive homography, and morphological unpredictability. Therefore, the inherent complexities of abjad alphabets necessitate targeted pedagogical intervention to increase metalinguistic awareness to strengthen learners’ reading skills—specifically, by recreating elements of literacy education for native speakers in the second language context. This article explores the linguistic challenges of abjads for foreign language students and how pedagogical methodologies can be optimized to ameliorate long-term learning outcomes. Full article

Study Abroad programs yield substantial linguistic advantages in addition to fostering academic and intercultural enrichment. Nevertheless, some students miss these programs due to financial constraints, academic commitments, or insufficient language skills. This paper reports the findings of a qualitative action research study that seeks to evaluate the impact of a multilingual and multicultural class, designed as a quasi-Study Abroad experience, on Hungarian medical students’ perceived English linguistic development by the end of the semester. Semi-structured focus group interviews were carried out with 42 Hungarian medical students at the end of the spring and autumn semesters of the 2021–2022 and the 2022–2023 academic years. The outcomes of the focus-group interviews indicated that the students had a positive experience studying in a multilingual and multicultural environment; their willingness to engage in English communication, along with an increase in self-confidence, was apparent, ultimately showcasing improved perceived proficiency in English communication skills by the end of the term. Creating an educational setting abundant in linguistic and cultural diversity and integrating multicultural project-based learning activities within the curriculum to simulate a quasi-Study Abroad experience represent methodological frameworks that could serve as pivotal models for shaping similar courses in the future. Full article

BLC Theory proposes that individual differences (IDs) in language proficiency (in both native and non-native speakers) can poorly be mapped on a single proficiency scale. Instead, IDs can best be understood and studied in terms of two fundamentally different dimensions: (1) the cognition of oral language (receptive and productive speech processing) and (2) the cognition of the written language (reading and writing). This paper presents an update of BLC Theory placed under a non-nativist, usage-based, neural-network metatheory of language as a complex system. The paper includes predictions for the absence or presence of IDs in the oral and written domains, separately for native and non-native speakers. The theory predicts that while cognitive factors such as executive functions, non-verbal memory, and intelligence positively affect the acquisition of reading and writing skills in both native and non-native speakers, they do not play a significant role in the acquisition of speech processing in either native or non-native speakers. Contrary to folk wisdom, one does not need to be particularly intelligent to learn to understand and produce speech in a non-native language. Attention is given to typological differences between children’s home language(s) and the standard language(s) of literacy. Full article