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All Journal International Journal of Pedagogy and Teacher Education JKPK (Jurnal Kimia dan Pendidikan Kimia)
Muna, Nala Izzul
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Chemical Engineering, Chemistry & Bioengineering Chemistry Education Social Sciences

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Evaluating Chemistry Teacher’s Questioning Skills in Microteaching Based on Artificial Intelligence (AI) Using an Assessment Rubric Muna, Nala Izzul; Sumarti, Sri Susilogati; Harjono, Harjono; Sumarni, Woro; Ramadhani, Dimas Gilang
International Journal of Pedagogy and Teacher Education Vol 9, No 2 (2025): International Journal of Pedagogy and Teacher Education - October
Publisher : The Faculty of Teacher Training and Education (FKIP), Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijpte.v9i2.106168

Abstract

This study evaluates the questioning skills of chemistry teachers during microteaching using an AI-assisted assessment rubric. A total of 200 publicly available YouTube videos (2019–2024) were selected using defined criteria: chemistry instruction, teacher–student questioning, Indonesian language, minimum audio clarity of 45 dB, and at least 5 minutes in duration. All videos featured pre-service teachers. Transcripts were generated using Otter.ai and segmented into discrete questioning episodes. Evaluation was performed using Gemini Flash 2.0 (build: 2025.03, temperature: 0.0), a large language model configured via prompt design and anchored exemplars to assess six pedagogical indicators: question type, content relevance, question complexity, wait time, teacher’s response, and student interaction. Each indicator was rated on a 4-point scale. Reliability checks against human-coded samples (n = 40) yielded strong agreement (Cohen’s κ = 0.78). Results showed that 25% of sessions were classified as high-performing, with open-ended and cognitively demanding questions, extended wait time, and rich student engagement. In contrast, 42% were low-performing, marked by factual recall, short pauses, and minimal interaction. Clustering analysis (Gower k-medoids) identified three distinct performance profiles (average silhouette = 0.41). This AI-based framework enables reliable, scalable, and interpretable evaluation of questioning practices. A prototype feedback tool was developed, providing per-indicator scores, question examples, and suggested improvements supporting formative teacher development. Ethical compliance was ensured through the exclusive use of public, anonymized content.
Analysis of the Effect of Fixators and pH Conditions on the Color Absorption of Cotton with Natural Teak Leaf Dyes (Tectona grandis Linn. f.) Priatmoko, Sigit; Rahmawati, Nova Eka; Harjono, Harjono; Sulistyaningsih, Triastuti; Muna, Nala Izzul
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 3 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i3.111696

Abstract

Growing concern about the environmental impacts of synthetic dyes has renewed interest in plant-based colorants for sustainable textile dyeing. Teak leaves (Tectona grandis Linn. f.) are rich in polyphenolic compounds with strong chromophoric properties, but the influence of fixation conditions and dye-bath pH on fabric performance requires further clarification. This study evaluated the effects of mordant type and dye-bath pH on color intensity and washing fastness of cotton fabrics dyed with teak leaf extract. Cotton samples were dyed at pH 4, 6, 8, 10, and 12, then post-mordanted using alum, ferrous sulfate, or tamarind extract. Color characteristics were quantified using the CIE Lab* system, and washing fastness was assessed following SNI ISO 105-C06:2010. Ferrous sulfate consistently produced the darkest shades and the highest washing fastness ratings (TLW 3–4 to 4), likely due to stable metal ligand complex formation among Fe²⁺ ions, dye molecules, and cellulose fibers. Mildly alkaline dye baths (pH 8–10) enhanced color depth, whereas extreme alkalinity (pH 12) decreased dye uptake, presumably because stronger electrostatic repulsion limited adsorption. Overall, teak leaf extract shows strong potential as an eco-friendly natural dye, and the results emphasize that careful mordant selection and pH optimization are essential to achieve durable coloration for sustainable textile processing.
Co-Authors Dimas Gilang Ramadhani, Dimas Gilang Harjono Harjono Rahmawati, Nova Eka Sigit Priatmoko Sri Susilogati Sumarti Triastuti Sulistyaningsih Woro Sumarni