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Hubungan Bahasa, Pikiran, dan Otak: Analisis Psikolinguistik dalam Konteks Pendidikan Bahasa Hadia, Hayatul; Batubara, Muhammad Hasyimsyah
Cognitive Insight in Education Vol. 1 No. 2 (2025): Cognitive Insight in Education
Publisher : Lia Center of Research and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64850/cognitive.v1i2.128

Abstract

Penelitian ini mengkaji hubungan triadik antara bahasa, pikiran, dan otak melalui analisis psikolinguistik dalam konteks pendidikan bahasa, menggunakan pendekatan kajian literatur kualitatif sistematis terhadap sumber-sumber ilmiah periode 2010–2025 dari jurnal terakreditasi, buku rujukan, dan prosiding. Temuan teoretis mengonfirmasi relasi timbal balik di mana bahasa berfungsi sebagai jembatan simbolik antara representasi neurologis (area Broca untuk produksi, Wernicke untuk pemahaman, serta fasciculus arcuate) dengan proses kognitif (memori kerja, perhatian selektif, fungsi eksekutif), sementara hipotesis Sapir-Whorf moderat menunjukkan pengaruh bahasa terhadap kategorisasi pengalaman tanpa menentukan pikiran sepenuhnya. Secara neurolinguistik, plastisitas otak terbukti melalui perubahan struktur materi abu-abu dan konektivitas pada pembelajar bilingual, mendukung strategi pembelajaran seperti input dapat dipahami (i+1), chunking untuk mengelola beban kognitif, scaffolding transisi receptive-productive, serta pengulangan tersebar untuk konsolidasi memori jangka panjang. Sintesis menghasilkan Triadic Language Processing Model yang mengintegrasikan tiga lapisan (neurologis, kognitif, bahasa) dengan Neuro-Pedagogical Cycle (exposure-processing-production-consolidation), memberikan landasan empiris bagi task-based language teaching (TBLT), transfer positif antarbahasa, dan teknologi adaptif di kelas Indonesia. Implikasi pedagogis mencakup revisi kurikulum berbasis neurosains, pelatihan guru psikolinguistik, serta rekomendasi penelitian lanjutan seperti studi longitudinal neuroimaging untuk validasi model pada populasi multilingual lokal. 
Analysis Of "Si Bulus-Bulus Si Rumbuk-Rumbuk" (1872) By Willem Iskandar: An Ecolinguistics Study Batubara, Muhammad Hasyimsyah; Saragih, Amrin; Sumarsih, Sumarsih; Dirgeyasa, I Wy.; Andayani, Widya
EXCELLENCE: Journal of English and English Education Vol 5 No 2 (2025): EXCELLENCE (In Press)
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v5i2.1283

Abstract

The interaction between the Mandailing people and their natural environment is represented in the text Si Bulus-Bulus Si Rumbuk-Rumbuk (1872) by Willem Iskandar, which is examined in this work from an ecolinguistic standpoint. This research uses lexical and discourse analysis to find ecological terminology, metaphors, and tales that represent the Mandailing people's holistic worldview of the 19th Century, which views people, animals, and plants as interrelated. It was also discovered that the Si Bulus-Bulus Si Rumbuk-Rumbuk text had embedded local knowledge values and sustainable cultural practices, such as care for the environment and the proscription of overexploitation. By demonstrating that classic literary works may be a helpful source of ecological information, the study's results advance the field of ecolinguistics. Additionally, by incorporating conventional ecological knowledge into contemporary discourse, this study presents a fresh viewpoint for advancing environmental sustainability. This research affirms the significance of conserving regional languages and cultures to maintain ecological values in the face of global environmental issues by establishing a connection between the past and present.
MENTAL LEXICON AND MEMORY ACCESS: HOWVOCABULARY IS STORED IN THE MIND Panggabean, Citra Tiurnida; Batubara, Muhammad Hasyimsyah
Journal of Advances in Linguistics and English Teaching (JALET) Vol. 1 No. 2 (2025): July-December 2025
Publisher : Perkumpulan Madani Publisher Indonesia

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Abstract

This research aims to examine the structure and access of the mental lexicon in human memory through the psycholinguistic approach. The current study utilizes the qualitative descriptive approach by conducting a systematic literature review. The result shows that the access of the lexical knowledge is not constant, considering the frequency of the word, the contextual cue, and the meaning relationship, because it affects the language comprehension and production. The result also shows that the mental lexicon is hierarchically organized for effective lexical retrieval when people use language. This article concludes that the knowledge of the structure and the access of the mental lexicon is very significant for language acquisition processes and for the analysis of language disorders, including aphasia and dyslexia.
PSYCHOLINGUISTICS AND ARTIFICIAL INTELLIGENCE:A COMPARATIVE ANALYSIS OF HUMAN AND MACHINELANGUAGE PROCESSING MECHANISMS Nasution, Habib Azizi; Batubara, Muhammad Hasyimsyah
Journal of Advances in Linguistics and English Teaching (JALET) Vol. 1 No. 2 (2025): July-December 2025
Publisher : Perkumpulan Madani Publisher Indonesia

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Abstract

The rapid development of Artificial Intelligence (AI), particularly Natural Language Processing (NLP), has brought together two fundamental disciplines: Psycholinguistics and Computer Science. This research seeks to bridge the theoretical gap between how the human brain processes and generates language (psycholinguistics) and how machines model and replicate these processes (AI). This research employed a comparative-analytical literature review. Data was collected from leading academic journals focused on AI language models (such as Transformer and Large Language Models/LLMs) and theories of human language processing (such as Serial Processing and Connectionist Models). The analysis focused on three main dimensions: lexicon acquisition, syntactic processing, and pragmatic understanding. It was found that while modern AI excels at predicting word order and syntactic structure based on probability (like statistical approaches in cognition), it still falls short of fully replicating semantic processing tied to experience, awareness, and social context (a hallmark of human processing). Current AI models demonstrate impressive speeds in lexical inference but often fail at tasks requiring a theory of mind or a multi-layered understanding of pragmatics. Integrating psycholinguistic principles into AI architectures holds great potential for developing systems that are not only efficient but also more natural and human-like in their interactions. Further research is needed to build AI models that reflect the complex bottom-up and top-down processes in the human brain.