Search Results (52)

This study investigates grammatical aspect in Greek and English oral narratives produced by Greek heritage speakers in the United States, examining aspectual marking across the bilingual repertoire, patterns of cross-linguistic alignment, and morphological restructuring. Using 31 narratives from the Greek Heritage Language Corpus, the analysis addressed (a) the role of background variables, (b) default aspectual preferences, (c) cross-linguistic alignment between Greek and English, and (d) morphological variation relative to baseline Greek. Quantitative results revealed a strong preference for the perfective aspect in both Greek and English, suggesting that past-time reference is typically conceptualized as completed or bounded. Education was the only factor associated with aspectual choice, with more educated speakers producing more progressive forms in English; no effects emerged for age group, generational status, schooling context, or years of schooling in Greek. Qualitative findings identified a limited number of systematic morphological simplification and analogical leveling patterns, including overregularization, and occasional periphrastic forms consistent with restructuring and possible cross-linguistic alignment. The results indicate that heritage speakers maintain the core distinction between perfective and imperfective aspect, despite favoring perfective forms across both languages. Meanwhile, they show emerging tendencies toward more transparent and analytic realizations, although such patterns remain quantitatively marginal in the present dataset. Overall, the findings support the view that heritage grammars are systematic, adaptive, and resilient linguistic systems. Full article

The Continuation Argument, a newly emerging perspective on language acquisition, requires further exploration to deepen our understanding of how continuation-based tasks facilitate foreign language learning. This study examines the use of observable language forms within the integrated pedagogical procedure of the translation continuation task in Chinese as a second language (CSL) learning. Data were collected from 60 learners attending Khmer-Chinese translation classes in Grade 8 at a Chinese school in Phnom Penh, Cambodia. The findings reveal a consistent pattern of language reuse. (i) Learners demonstrate a significant increase in their reuse of target Chinese language structures (e.g., words, grammar, and discourse knowledge) from the pre-reading materials when completing the translation continuation tasks. (ii) The translation continuation task helps reduce errors and improve the quality of Chinese translations. (iii) Both teachers and students generally recognize the positive impact and pedagogical value of the translation continuation task. The observed “language reuse” is discussed in light of multiple potential mechanisms, such as priming and pedagogically induced imitation. Thus, the translation continuation task proves to be an effective method for guiding learners’ attention to and reuse of target language forms in practical CSL translation teaching. Full article

Today, relational databases are widely used in information systems. SQL (structured query language) is taught extensively in universities and professional schools across the globe as a programming language for its data management and accesses. Previously, we have studied a web-based programming learning assistant system (PLAS) to help novice students learn popular programming languages by themselves through solving various types of exercises. For SQL programming, we have implemented the grammar-concept understanding problem (GUP) and the comment insertion problem (CIP) for its initial studies. In this paper, we propose an SQL Query Description Problem (SDP) as a new exercise type for describing the SQL query to a specified request in a MySQL database system. To reduce teachers’ preparation workloads, we integrate a generative AI-assisted SQL query generator to automatically generate a new SDP instance with a given dataset. An SDP instance consists of a table, a set of questions and corresponding queries. Answer correctness is determined by enhanced string matching against an answer module that includes multiple semantically equivalent canonical queries. For evaluation, we generated 11 SDP instances on basic topics using the generator, where we found that Gemini 3.0 Pro exhibited higher pedagogical consistency compared to ChatGPT-5.0, achieving perfect scores in Sensibleness, Topicality, and Readiness metrics. Then, we assigned the generated instances to 32 undergraduate students at the Indonesian Institute of Business and Technology (INSTIKI). The results showed an average correct answer rate of 95.2% and a mean SUS score of 78, which demonstrates strong initial student performance and system acceptance. Full article

Academic failure and social inequalities are becoming more prevalent in schools. While knowledge has evolved and society has undergone significant transformation, schools have largely remained structured around a uniform model applied indiscriminately to all. In Portugal, efforts were made to initiate change through the conceptualisation and implementation of innovation plans to alter the prevailing grammar of schooling, prompting an inquiry into whether these initiatives yielded the intended outcomes. To this end, a case study was conducted in two such schools, aiming to capture the perspectives, ideas, and perceptions of various stakeholders: students and teachers through questionnaires, coordinating teachers via narrative accounts, and school leaders through semi-structured interviews. The findings reveal that the contexts of implementation, the scale of the initiative, and the number of schools involved significantly influence both practices and leadership outcomes. Nonetheless, despite these constraints, the innovation plans facilitated the emergence of more collaborative dynamics and the creation of more meaningful learning environments, wherein students assumed a more active role in their educational processes. The results further indicate that these innovation plans encountered obstacles rooted in entrenched professional and organisational cultures, which hindered profound changes in the structuring of teaching and learning practices. Full article

The rapid proliferation of generative artificial intelligence (GenAI) in educational settings has created unprecedented opportunities for language instruction, yet empirical evidence regarding its efficacy in primary-level English as a Foreign Language contexts remains scarce, particularly concerning pre-service teachers’ implementation experiences during formative practicum periods. This investigation, conducted in a public school in a non-Anglophone country during the Spring of 2025, examined the impact of GenAI-driven gamified activities on elementary pupils’ English language competencies while exploring novice educators’ professional development trajectories through a mixed-methods quasi-experimental approach with comparison groups. Four third-grade classes (n = 119 individuals aged 8–9) in a public school were assigned to either ChatGPT-mediated voice-interaction games (n = 58) or conventional non-digital activities (n = 61) across six 45 min lessons spanning three weeks, with four female student-teachers serving as instructors during their culminating practicum. Quantitative assessments of grammar, listening comprehension, and pronunciation occurred at baseline, post-intervention, and one-month follow-up intervals, while reflective journals captured instructors’ evolving perceptions. Linear mixed-effects modeling revealed differential outcomes across linguistic domains: pronunciation demonstrated substantial advantages for GenAI-assisted learners at both immediate and delayed assessments, listening comprehension showed moderate benefits with superior overall performance in the experimental condition, while grammar improvements remained statistically equivalent between groups. Thematic analysis uncovered pre-service teachers’ progression from technical preoccupations toward sophisticated pedagogical reconceptualization, identifying connectivity challenges and assessment complexities as primary barriers alongside reduced performance anxiety and individualized pacing as key facilitators. These findings suggest selective efficacy of GenAI across language skills while highlighting the transformative potential and implementation challenges inherent in technology-enhanced elementary language education. Full article

Prescriptive grammars of Netherlandic Dutch usually explicitly warn against mixing T- and V-pronouns. Although the prescriptive norm opposes mixing, pronoun mixing does occur, and its use can often be interpreted as strategic, in the sense that mixing pronouns might help to balance conflicting needs such as signaling respect and formality to the addressee on the one hand as well as expressing closeness on the other hand. This article explores the perception of pronoun mixing among high school students who were in the process of acquiring the norm. As part of a student science project, we asked students to categorize real-world examples of pronoun mixing that they themselves had gathered as a strategy or as a mistake. Based on the students’ responses, we extrapolated that the most acceptable forms of mixing were brief switches to V in a T-context to express humor or urgency and—if there was no clear default pronoun—that mixing was most acceptable (1) when the text was free of spelling errors and other signs of sloppiness, (2) when the mixing was intersentential, (3) when the number of switches was infrequent, and (4) when there was a clear division of tasks between the pronouns. As an offshoot of this student science project, we designed a brief follow-up survey to gain insight into domains and consensus and variation among the students’ perceptions of pronoun mixing. This follow-up survey revealed that if not explicitly asked, most students do not notice pronoun mixing. We asked students to rank four real-life examples of address pronoun mixing that they had gathered during the student science project. We expected that with respect to their perception of the mixing of address pronouns all students would rank examples of mixing in the same order. A primary result of this part of our exploration was that there were large individual differences in the perception of mixing and that there was variation in the ranking of examples among the students. Intersentential mixing yielded the most neutral evaluations by the students, but intrasentential mixing showed the most extreme evaluations. It was disliked most strongly by students who had a general dislike of mixing and liked best by students who appreciated mixing as a style. Briefly switching to V in contexts associated with the T-pronoun was perceived to be humorous by a quarter of the students, and half of the students perceived a switch to the petrified abbreviation AUB (‘if you-V please’) as expressing urgency. Full article

This study investigates the impact of structured input, referential activities, and affective activities on English simple past tense acquisition in a second language (L2). Thirty-three participants from a senior high school were divided into four groups based on the pretest–posttest design: referential only, affective only, a combination of both, and a control group. A self-paced reading (SPR) test was used to measure accuracy and response times to evaluate the effectiveness of these instructional strategies. Structured input and referential tasks enhance grammatical acquisition more rapidly and accurately than affective-only treatments or controls, showing the beneficial effects of structured input on grammar acquisition. The results emphasized the importance of designing instructional strategies that address specific processing challenges in L2 learning by focusing on form–meaning connections. By demonstrating differential impacts of structured input activities on grammatical learning and processing efficiency, the research contributes to the field of second language acquisition. The SPR method was selected for its ability to capture subtle, immediate differences in processing at the word level, its suitability for controlled classroom-based online administration, and its established validity in L2 processing research. Unlike other methods, SPR allows precise measurement of reaction times for specific sentence components, isolating processing effects of the target grammatical form while minimizing the influence of explicit knowledge. Full article

The evaluation of open-ended questions is typically performed by human instructors using predefined criteria to uphold academic standards. However, manual grading presents challenges, including high costs, rater fatigue, and potential bias, prompting interest in automated essay scoring systems. While automated essay scoring tools can assess content, coherence, and grammar, discrepancies between human and automated scoring have raised concerns about their reliability as standalone evaluators. Large language models like ChatGPT offer new possibilities, but their consistency and fairness in feedback remain underexplored. This study investigates whether ChatGPT can provide stable and fair essay scoring—specifically, whether identical student responses receive consistent evaluations across multiple AI interactions using the same criteria. The study was conducted in two marketing courses at an engineering school in Chile, involving 40 students. Results showed that ChatGPT, when unprompted or using minimal guidance, produced volatile grades and shifting criteria. Incorporating the instructor’s rubric reduced this variability but did not eliminate it. Only after providing an example-rich rubric, a standardized output format, low temperature settings, and a normalization process based on decision tables did ChatGPT-4o demonstrate consistent and fair grading. Based on these findings, we developed a scalable algorithm that automatically generates effective grading rubrics and decision tables with minimal human input. The added value of this work lies in the development of a scalable algorithm capable of automatically generating normalized rubrics and decision tables for new questions, thereby extending the accessibility and reliability of automated assessment. Full article

Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores the integration of AI-powered tools—Grammarly and ChatGPT—within the Writing Workshop Instructional Model (WWIM) to enhance students’ writing skills. Conducted at a bilingual secondary school, the intervention targeted 10th grade ESL learners and focused on improving grammar accuracy, textual coherence, and organizational structure. Drawing on Galbraith’s model of writing as content generation, the study adopted a design-based research methodology, incorporating iterations of implementation, feedback, and refinement. The results indicate that combining WWIM with AI feedback significantly improved students’ academic writing performance. Learners reported greater confidence and engagement when revising drafts using automated suggestions. These findings highlight the pedagogical potential of integrating AI tools into writing instructions and offer practical implications for enhancing academic writing curricula in secondary ESL contexts. Full article

This study examines the integration of disadvantaged Roma ethnic minority students in Hungarian-language vocational schools in Central European countries with highly segregated education systems. It focuses on Romania, Slovakia, and Hungary, where Roma students face significant segregation. This research investigates two Romanian, two Slovak, and four Hungarian vocational schools, selected based on their proportion of Roma students aligning with national averages. Surveys and interviews were conducted with teachers to assess their attitudes, commitment, and preparedness in educating Roma students. The main findings of this research are that schools with Roma student proportions matching national averages do not face significant challenges in co-education, teachers generally believe Roma students should complete lower secondary education, and teachers are committed to supporting Roma students but often feel unprepared to teach them. This study’s results suggest that governments should implement policies to eliminate educational segregation in vocational schools and promote inclusive education. Teacher training programs should focus on equipping educators with better tools to support Roma students. Possible directions for further research include a comparative analysis of vocational and grammar secondary schools in the integration of Roma students, longitudinal studies on the long-term educational and career outcomes of Roma students in vocational schools, and an examination of best practices in inclusive vocational education across different European countries. Full article

Children learn linguistic structures from the input they receive. Their learning may depend on several factors such as children’s sensitivity to structure in the input, prior language experience, and the consistency of linguistic structures in the input. In this study, we investigated how inconsistent input (i.e., substitution errors) in an artificial language affects 7 to 11-year-old Dutch-speaking children’s learning of words and rules. Using a cross-situational statistical learning task (CSL task), we assessed children’s learning of label–referent pairs (word learning) and their generalization of two morphophonological rules. Eighty-nine children were randomly allocated to three input conditions: a fully consistent input condition (n = 31), a 12.5% inconsistent input condition (n = 32), and a 25% inconsistent input condition (n = 26). In the inconsistent input conditions, children were exposed to substitution errors, respectively, 12.5% and 25% of the time. We found evidence that substitution errors in children’s language input hindered their cross-situational statistical language learning. While we have evidence that children learned the words in our artificial language, we have no evidence that children—regardless of input condition—detected the morphophonological rules. This study eventually may inform us on how differences in the quality of children’s language environments (arising from, e.g., speaker variability and language proficiency) affect their language learning. Full article

This study addresses the integration of Spanish for Specific Purposes in Agriculture (SSPA) into the curricula of English-speaking veterinary and animal sciences students at three collaborating universities (Texas Tech University School of Veterinary Medicine, North Carolina State University, and Tarleton State University), to bridge communication gaps in agricultural settings. We designed and implemented three SSPA courses focused on key areas such as animal health, welfare, and food safety, using insights from industry professionals. The courses incorporated contextualized language instruction, including vocabulary, grammar, and practical communication scenarios relevant to the field. Teaching materials including interactive resources and metacognitive strategies were developed to enhance learning and engagement. The results showed that while the courses improved students’ communication skills, challenges such as technical issues and balancing academic commitments required adjustments to course delivery. Significant differences in performance were observed between institutions, with a considerable impact on the course completion rates and final test scores. The study concludes that SSPA courses significantly enhance the ability of veterinary and animal sciences students to effectively communicate with the Hispanic workforce, providing a model for similar language integration efforts in specialized fields. Full article

Italian Sign Language (LIS) is the primary form of communication for many members of the Italian deaf community. Despite being recognized as a fully fledged language with its own grammar and syntax, LIS still faces challenges in gaining widespread recognition and integration into public services, education, and media. In recent years, advancements in technology, including artificial intelligence and machine learning, have opened up new opportunities to bridge communication gaps between the deaf and hearing communities. This paper presents a novel educational tool designed to teach LIS through SIGNIFY, a Machine Learning-based interactive serious game. The game incorporates a tutorial section, guiding users to learn the sign alphabet, and a classic hangman game that reinforces learning through practice. The developed system employs advanced hand gesture recognition techniques for learning and perfecting sign language gestures. The proposed solution detects and overlays 21 hand landmarks and a bounding box on live camera feeds, making use of an open-source framework to provide real-time visual feedback. Moreover, the study compares the effectiveness of two camera systems: the Azure Kinect, which provides RGB-D information, and a standard RGB laptop camera. Results highlight both systems’ feasibility and educational potential, showcasing their respective advantages and limitations. Evaluations with primary school children demonstrate the tool’s ability to make sign language education more accessible and engaging. This article emphasizes the work’s contribution to inclusive education, highlighting the integration of technology to enhance learning experiences for deaf and hard-of-hearing individuals. Full article

Teachers’ educational philosophies have a great influence on teachers’ actions in the classroom. They are partly influenced by the dominant pedagogical paradigm expressed in the strategic educational documents, but there are also some other factors that influence teachers’ educational philosophies. This research aimed to determine secondary school teachers’ educational philosophies and whether they differ in relation to a teacher’s work experience, type of school, and educational program. A total of 355 secondary school teachers in Split–Dalmatia County in the Republic of Croatia participated in the research. The philosophy preference assessment scale consisting of two subscales (traditional and contemporary educational philosophies), was applied. The results showed that: secondary school teachers generally agreed more with contemporary than traditional educational philosophies; grammar school teachers agreed more with contemporary and vocational school teachers with traditional educational philosophies; the education program was a significant factor only for the subscale of traditional educational philosophies; and years of work experience was not a significant factor for either subscale. The results are discussed in the context of the relationship between teachers’ educational philosophies, values, beliefs, and teaching experiences and the need for teachers to raise awareness of their educational philosophies and continuously compare and harmonise them with their educational practice. Full article

During the COVID-19 pandemic, many DeafBlind children were left without access to educational services when schools went remote. This article presents findings from a project that brought DeafBlind adults into the homes of DeafBlind children during a historically unprecedented time, when a new language was emerging among DeafBlind people who call themselves “Protactile”. In analyzing interactions between the DeafBlind adults and children, we have gained new insights into how novel communication channels are forged intersubjectively. We focus our analysis on Jelica, a DeafBlind member of the research team and experienced Protactile educator, and her interactions with two DeafBlind children. Grounding her extensive field notes in an anthropological theory on intersubjectivity, her insights show how they gradually became attuned to each other and their environment, thereby laying the foundation for intention attribution and joint attention. Jelica does this, in part, via frequent use of “Protactile taps”, which have attention-modulating and demonstrative functions among adults. Jelica’s taps perform a “meta-channel” function to direct the child to use particular parts of their bodies for communication and exploration. This study shows how Jelica establishes an operable environment, within which the vocabulary and grammar she exposes them to will take on situated meaning. This research builds on previous work on language emergence by showing that both children and adults contribute to language emergence as they adjust to one another in the unfolding of interaction. Finally, this research calls attention to the need for DeafBlind adults to have institutional authority to shape communication practices for DeafBlind children. Full article