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Cultural Schemata and Linguistic Relativity: How Language Shapes Perception Across Diverse Communities Muhammad Nur Iman; Nurasia Natsir; Aisyah Aulia Putri
International Journal of Educational Evaluation and Policy Analysis Vol. 2 No. 2 (2025): April : International Journal of Educational Evaluation and Policy Analysis
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeepa.v2i2.257

This study investigates the interplay between linguistic relativity and cultural schemata, examining how language encodes culturally salient concepts and shapes cognitive frameworks across diverse communities. Through ethnographic and psycholinguistic approaches, the study collects data from 12 different language communities with varied cultural backgrounds. Cross-linguistic and cross-cultural analyses reveal significant correlations between linguistic structures—such as grammatical categories, lexical distinctions, and metaphorical expressions—and culturally specific schemata in spatial, temporal, and social domains. Perception and cognitive reasoning experiments were conducted with 450 participants to test linguistic relativity hypotheses in cultural contexts. Quantitative and qualitative findings demonstrate that linguistic patterns both reflect and reinforce cultural norms, influencing perception and cognitive strategies. Analysis of cultural text corpora shows how linguistic categories serve as vehicles for internalizing cultural values and worldviews. Specifically, the study finds systematic variations in spatial information processing, time conceptualization, and social event interpretation that correlate with language features of respective communities. These results underscore the co-constitutive relationship between language and culture in shaping human thought, providing important implications for cross-cultural education, intercultural communication, and cognitive theory.

The Interplay Between Cultural Heritage and Syntactic Evolution : A Cross-Generational Analysis of Language Shift in Multilingual Societies Kamsinah Kamsinah; Nurasia Natsir; Aisyah Aulia Putri
International Journal of Educational Research Vol. 2 No. 2 (2025): International Journal of Educational Research
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijer.v2i2.258

This study examines the relationship between cultural heritage and syntactic evolution in multilingual societies, focusing on cross-generational language transmission. Employing a mixed-methods approach, it analyzes linguistic practices, cultural narratives, and syntactic patterns across three generational cohorts in five distinct multilingual communities. Findings reveal significant generational shifts, with elders preserving traditional syntax linked to cultural rituals, while younger cohorts exhibit syntactic simplifications and hybrid constructions influenced by dominant languages. Statistical analyses underscore the role of cultural practices in shaping linguistic patterns, highlighting the dynamic interplay between heritage preservation and linguistic innovation in contexts of societal bilingualism and intercultural interaction. The research demonstrates that syntactic changes correlate strongly with the frequency and depth of cultural engagement, with participants who actively participate in traditional practices showing greater retention of heritage language syntactic features. Furthermore, we identify specific linguistic mechanisms through which cultural transmission influences syntactic maintenance and innovation, including ritualized speech patterns, narrative structures, and metaphorical expressions embedded in cultural practices. This study contributes to theoretical understandings of language change by proposing a cultural-syntactic framework that helps explain the variable trajectories of heritage languages in diverse multilingual contexts.

Acquisition of English Modal Verbs by Indonesian EFL Learners: A Corpus-Based Analysis of Learning Patterns Aisyah Aulia Putri; Nurasia Natsir
International Journal of Educational Evaluation and Policy Analysis Vol. 2 No. 3 (2025): July : International Journal of Educational Evaluation and Policy Analysis
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeepa.v2i3.365

This corpus-based study explores the acquisition patterns of English modal verbs by Indonesian EFL (English as a Foreign Language) learners through a comprehensive analysis of learner language data. The study utilizes a specialized learner corpus consisting of 2.5 million words drawn from both written and spoken productions of 450 Indonesian learners, covering various proficiency levels. The research focuses on examining the frequency patterns, semantic distributions, and error types associated with modal verb usage across the learner corpus. The study employs a combination of quantitative corpus linguistic methods and qualitative error analysis to uncover developmental trends and persistent difficulties in acquiring English modals. The findings highlight a significant underuse of epistemic modality, which expresses degrees of certainty, and an overreliance on core modals like "can," "will," and "must." Additionally, learners systematically avoid more complex modal constructions that are semantically nuanced and less frequent in their linguistic output. The analysis also reveals notable cross-linguistic influences from Indonesian, particularly in the areas of politeness marking and the expression of certainty. These interference patterns suggest that Indonesian learners may transfer modal expressions from their native language, leading to specific errors in the usage of English modals. Based on the findings, the study proposes a usage-based pedagogical framework that integrates corpus-informed instruction with explicit semantic mapping of modal meanings. This framework encourages teachers to address modal verb acquisition by emphasizing frequency-based approaches, contrastive semantic analysis, and corpus-driven awareness-raising activities. The research suggests that by focusing on the form-meaning-function relationships of modals in authentic contexts, learners can better understand and produce English modals accurately and appropriately. The findings have significant implications for enhancing modal verb instruction in EFL classrooms, especially for Indonesian learners.

Public Perception of Local Dialects and Its Implications for Cultural Identity Aisyah Aulia Putri
Proceeding of the International Conference on Social Sciences and Humanities Innovation Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Social Sciences and Humani
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/icsshi.v1i1.41

This study investigates the public perception of local dialects and their implications for cultural identity. Local dialects serve as vital markers of regional identity and heritage, yet they often face stigma and marginalization in favor of standardized languages. Through a mixed-methods approach, including surveys and in-depth interviews, the research examines how individuals perceive various local dialects in terms of prestige, authenticity, and social value. The findings reveal a nuanced landscape of attitudes, where some respondents express pride in their local dialects as symbols of cultural heritage, while others associate them with negative stereotypes, which impacts their willingness to use these dialects in public settings. The study highlights the complex relationship between language, identity, and social dynamics, suggesting that fostering positive perceptions of local dialects can enhance cultural pride and community cohesion. Additionally, the research discusses the role of education and media in shaping perceptions of local dialects and emphasizes the need for initiatives that promote linguistic diversity. Ultimately, this research underscores the importance of recognizing and valuing linguistic diversity as a crucial component of cultural identity in an increasingly globalized world, advocating for the preservation and celebration of local dialects to strengthen community ties and cultural heritage.

Integrating Artificial Intelligence In Language Acquisition: A Comparative Study Of Adaptive Learning Platforms In Indonesian Efl Classrooms Aisyah Aulia Putri; Nurasia Natsir
Proceeding of the International Conference on Social Sciences and Humanities Innovation Vol. 2 No. 1 (2025): June : Proceeding of the International Conference on Social Sciences and Humani
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/icsshi.v2i1.58

This study investigates the implementation and effectiveness of artificial intelligence-driven adaptive learning platforms in English as a Foreign Language (EFL) classrooms across urban and rural Indonesian educational settings. Through a mixed-methods approach involving 247 students and 12 teachers from eight institutions, this research comparatively analyzes three prominent AI language learning platforms: LinguaLearn AI, AdaptEd English, and AI Tutor Pro. The findings reveal significant differences in learning outcomes, with AI-enhanced platforms demonstrating a 27% improvement in language proficiency compared to traditional methods. However, implementation challenges including digital literacy barriers, internet connectivity issues, and cultural adaptation requirements were identified, particularly in rural contexts. The study proposes a contextually responsive framework for integrating AI language learning technologies in developing EFL environments, contributing to the growing discourse on educational technology in linguistically diverse settings. This research highlights the potential of AI to personalize language acquisition while emphasizing the necessity of culturally and infrastructurally appropriate implementation strategies.

Virtual Teaching Assistants: The Role of AI Chatbots in Student Support Services Muhammad Nurahmad; Aisyah Aulia Putri; Nurasia Natsir
Proceeding of the International Conference on Global Education and Learning Vol. 2 No. 2 (2025): December : Proceeding of the International Conference on Global Education and L
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icgel.v2i2.200

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

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