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Chemistry Education Practice
Published by Universitas Mataram
ISSN : 26548119     EISSN : 26563940     DOI : -
Core Subject : Education,
Education
Jurnal Chemistry Education Practice (ISSN Cetak 2654-8119 dan ISSN Online 2656-3940) adalah jurnal peer-review yang diterbitkan oleh Program Pendidikan Kimia, Fakultas Pendidikan Guru Pelatihan dan Pendidikan, Universitas Mataram. Jurnal ini merupakan jurnal open access. Jurnal Chemistry Education Practice mencakup semua aspek penelitian dan praktik pendidikan kimia. Jurnal ini menerbitkan makalah penelitian asli, komunikasi singkat, diseminasi, dan diskusi penelitian, pengalaman dan perspektif di berbagai pendidikan kimia, pengajaran, pengembangan, pengajaran, proyek dan inovasi pendidikan, metodologi pembelajaran dan teknologi baru dalam pendidikan kimia dan pembelajaran. Jurnal Chemistry Education Practice diterbitkan dua kali dalam setahun, yaitu setiap bulan Mei dan November.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 292 Documents
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Validation of Pre-Service Chemistry Teachers’ Acceptance and Use Of Generative Artificial Intelligence Scale: Confirmatory Factor Analysis Wahyuni Adam; Suci Rizkina Tari; Hilman Qudratuddarsi; Meili Yanti; Eli Meivawati
Chemistry Education Practice Vol. 9 No. 1 (2026): Edisi Mei
Publisher : FKIP University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/cep.v9i1.11992

Abstract

The rapid development of generative artificial intelligence (GenAI) is transforming educational practices by enabling new forms of knowledge construction, problem-solving, and instructional support. Its growing integration into academic contexts has raised important questions about how future teachers perceive and adopt these technologies. This study aims to examine pre-service chemistry teachers’ attitudes and use of GenAI by integrating the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Theory of Planned Behavior (TPB) within a validated framework. A quantitative cross-sectional survey was conducted with 240 Generation Z pre-service teachers using a structured questionnaire covering constructs such as performance expectancy, effort expectancy, social norms, facilitating conditions, habit, attitude, perceived behavioral control, behavioral intention, and AI use. Confirmatory Factor Analysis (CFA) was applied to test both first-order and second-order models. The findings indicate that the proposed model achieved acceptable goodness-of-fit and strong reliability and validity across constructs. Performance expectancy, effort expectancy, and social norms significantly influenced attitudes and behavioral intention, while facilitating conditions and perceived behavioral control supported AI use. Behavioral intention emerged as the strongest predictor of use. Overall, the study highlights that AI adoption is shaped by interconnected psychological, social, and contextual factors, emphasizing the need for holistic teacher education strategies.
PENGEMBANGAN E-MAJALAH KIMIA BERBANTUAN KIMIA KOMPUTASI: STUDI INHIBITOR KOROSI MINYAK PALA (MYRISTICA FRAGRANS) PADA TEMBAGA Gesti Maharani; Saprizal Hadisaputra; Ermia Hidayanti
Chemistry Education Practice Vol. 9 No. 1 (2026): Edisi Mei
Publisher : FKIP University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/cep.v9i1.12234

Abstract

This study aims to develop a chemistry e-magazine, assisted by computational chemistry, as a learning supplement for redox reaction material and to determine its validity based on expert assessment. This study uses a mixed-methods approach that combines qualitative data (interviews with teachers and students, descriptions of the development process, and validator input) and quantitative data (student needs questionnaires and Aiken's V index). The development design uses the 4D model (define, design, develop, disseminate), limited to the development stage. The developed e-magazine contains redox reaction material contextualized with the phenomenon of copper corrosion, a study of nutmeg (Myristica fragrans) as a green corrosion inhibitor, DFT-based computational chemistry data (HOMO, LUMO, and energy gap parameters), as well as adsorption values from Monte Carlo simulations on the Cu(111) surface Validation was carried out by three experts using an assessment sheet analyzed with Aiken's V index. The results showed an average V value of 0.84 (very valid), with coverage of graphics (0.85), content feasibility (0.82), presentation feasibility (0.89), and language (0.87). The e-magazine was deemed suitable for use as a supplementary learning resource for chemistry on redox reactions.

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