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p-Index From 2021 - 2026
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All Journal Acitya Bhakti International Journal of Pedagogical Language, Literature, and Cultural Studies
Retna Endah Sri Mulyati
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Education Languange, Linguistic, Communication & Media Social Sciences

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Pelatihan Metode Stationenlernen bagi Guru Bahasa Jerman di Yogyakarta Santoso, Iman; Retna Endah Sri Mulyati; Sudarmaji; Isti Haryati; Diyan Fatinatuz Zahro
ACITYA BHAKTI Vol. 5 No. 1 (2025): ACITYA BHAKTI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stationenlernen adalah sebuah metode yang memberi kesempatan pada pembelajar untuk belajar mandiri melalui beberapa stasiun sesuai dengan kecepatan dan gaya belajar masing-masing. Tujuan dari pelatihan ini adalah untuk melatih guru-guru Bahasa Jerman dan guru mata pelajaran lainnya mengenai penerapan Stationenlernen dalam pembelajaran. Program pelatihan ini dilakukan secara bauran dan daring di SMA Negeri 1 Ngemplak, Sleman dan diikuti oleh 51 guru. Pelatihan terdiri atas tiga tahap yaitu (1) penyampaian materi hakikat metode Stationenlernen dan praktik penerapannya (2) penyusunan RPP dan pembuatan video yang dilaksanakan secara mandiri oleh peserta. (3) diskusi mengenai RPP dan video penerapan Stationenlernen dalam pembelajaran. Setelah mengikuti pelatihan, para guru bahasa Jerman memiliki pengetahuan mengenai metode Stationenlernen dan mampu menyusun rancangan pembelajaran serta menerapkan metode tersebut dalam pembelajaran.
“Jeder hat seinen eigenen Geschmack”: Comparative Analysis of AI and Human Raters in German Proverb Oral Performance Assessment Sudarmaji; Iman Santoso; Aditya Rikfanto; Retna Endah Sri Mulyati
International Journal of Pedagogical Language, Literature, and Cultural Studies (i-Plural) Vol. 3 No. 3 (2026): International Journal of Pedagogical Language, Literature, and Cultural Studies
Publisher : Nexus Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63011/ip.v3i3.88

Abstract

This study aims to analyze scoring variations and test the statistical significance of differences between AI-based evaluation (Large Language Model) and human raters in assessing the oral performance of German proverbs. Using a quantitative, within-subjects design, the study involved 30 students who were evaluated on four parameters: grammar, pronunciation, fluency, and the use of proverbs. The results of a paired-samples t-test reveal highly significant differences (p < 0.001) across all assessment aspects. The AI consistently demonstrates a leniency bias, assigning higher absolute scores than human raters. The largest discrepancy is in the use of proverbs, with a mean difference of 3.73 points. These findings indicate that AI tends to operate at the level of structured linguistic surface features, yet remains limited in capturing cultural nuances, implicit meanings, and pragmatic contextual appropriateness. These are areas that constitute the core strength of human cognitive sensitivity. This study recommends implementing a hybrid app using language to evaluate, in which AI assesses structural-mechanistic aspects, while interpretive sociolinguistic dimensions remain under human raters' control.
Co-Authors Aditya Rikfanto Diyan Fatimatuz Zahro Iman Santoso Isti Haryati Sudarmaji Sudarmaji