Hestiyani Parai
Universitas Negeri Jakarta

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VERICULTURA-AI: TOWARD A CULTURALLY GROUNDED AND ETHICALLY RESPONSIVE MULTIMODAL AI FRAMEWORK FOR LIE DETECTION IN INDONESIA Fernandes Arung; Fathiaty Murtadho; Endry Boeriswaty; Reny Nur Eriyani; Hestiyani Parai
Jurnal Gramatika Vol 12, No 1 (2026): Spring Issue (April-September)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jg.2026.v12i1.10681

Abstract

This study proposes VeriCultura-AI, a culturally grounded blueprint for an artificial intelligence– based lie-detection system that reflects Indonesia’s linguistic, cultural, and social diversity. Addressing long-standing concerns that conventional lie-detection technologies are culturally biased and largely grounded in Western behavioral norms, this research adopts a Research and Development approach using the ADDIE model to design and validate a multimodal system integrating four analytical dimensions: language, culture, voice frequency, and visual gestures. Expert validation by specialists in linguistics, cultural studies and information technology shows a high degree of technical feasibility and conceptual coherence. However, the results also show important gaps in the operationalization of culture, especially in terms of indirect communication styles, multilingual practices and minority cultural representation. VeriCultura-AI aims to mitigate the risk of misclassification and algorithmic bias disproportionately affecting collectivist and minority groups by integrating culture as a core component of AI decision-making, rather than simply a contextual factor. Although this research is confined to validation at the blueprint level and does not include empirical performance testing, it lays an interdisciplinary groundwork for the development of socially and culturally responsive AI. VeriCultura-AI is the first step toward making AI systems that are not only technically strong but also culturally smart and fair.
AUTHENTIC ASSESSMENT IN INDONESIAN LANGUAGE LEARNING: A SYSTEMATIC LITERATURE REVIEW OF PEDAGOGICAL, TECHNOLOGICAL, AND SOCIOCULTURAL DIMENSIONS Reni Nur Eriyani; Fathiaty Murtadho; Hestiyani Parai
Jurnal Bastra (Bahasa dan Sastra) Vol. 11 No. 1 (2026): JURNAL BASTRA EDISI JANUARI 2026
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia, FKIP, Universitas Halu Oleo Kampus Bumi Tridharma Andounohu Kendari, Provinsi Sulawesi Tenggara – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/bastra.v11i1.2201

Abstract

The growing emphasis on contextualized and learner-centered pedagogy has heightened interest in authentic assessment in language education. However, systematic reviews focusing specifically on Indonesian language learning remain scarce. This systematic review analyzes research on authentic assessment in language learning, with particular attention to its application in Indonesian language education contexts. Following PRISMA guidelines, we conducted a comprehensive search across Scopus, ERIC, and Google Scholar databases, identifying 10 empirical and conceptual studies published between 2015-2025. The TCCM (Theory, Context, Characteristics, Methodology) framework guided the analysis. Thematic synthesis revealed three major trajectories: (1) a pedagogical shift from summative to formative and authentic evaluation; (2) the transformative influence of digital technologies, including AI and mobile-assisted learning; and (3) the growing emphasis on sociocultural and intercultural dimensions. Authentic assessment functions not only as a measurement tool but also as a pedagogical process fostering metacognition, collaboration, and inclusivity. This review offers a novel integrative perspective linking authenticity, technology, and sociocultural context within an ecological framework. The findings highlight the need for culturally responsive and ethically grounded digital assessment practices in Indonesian language education.