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Pengaruh Pembelajaran Berbasis Proyek dalam Model Pembelajaran Berbasis Proyek terhadap Hasil Belajar Peserta Didik Kelas MS SMAN 3 Lau Maros (Studi pada Materi Pokok Kesetimbangan Kimia) Rabiatul Adawiah; Sumiati Side; Alimin Alimin
Chemica: Jurnal Ilmiah Kimia dan Pendidikan Kimia Vol 15, No 2 (2014)
Publisher : Jurusan Kimia FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.38 KB) | DOI: 10.35580/chemica.v15i2.4593

Abstract

ABSTRAKPenelitian ini adalah penelitian eksperimen semu yang bertujuan untuk mengetahui pengaruh penilaian kinerja dalam model pembelajaran berbasis proyek terhadap hasil belajar peserta didik kelas MS SMA Negeri 3 Lau Maros. Variabel bebas adalah penilaian kinerja dalam model pembelajaran berbasis proyek, sedangkan variabel terikat adalah hasil belajar peserta didik kelas MS SMA Negeri 3 Lau Maros. Populasi penelitian ini adalah siswa kelas MS SMA Negeri 3 Lau Maros yang berjumlah 198 siswa yang tersebar dalam 6 kelas. Teknik pengambilan sampel yaitu random sampling. Sampel penelitian terdiri dari 2 kelas yaitu kelas MS1 sebagai kelas eksperimen dengan jumlah siswa 32 orang dan kelas MS3 sebagai kelas kontrol dengan jumlah siswa 33 orang. Data hasil penelitian diperoleh dengan memberikan tes hasil belajar pada materi pokok kesetimbangan kimia berupa post-test yang dianalisis menggunakan uji U Mann Whithey. Hasil analisis statistika inferensial diperoleh Zhitung (2,27) lebih besar dari Ztabel (1,64) pada ═ 0,05. Disimpulkan bahwa ada pengaruh penilaian kinerja dalam model pembelajaran berbasis proyek terhadap hasil belajar peserta didik kelas MS SMA Negeri 3 Lau Maros pada materi pokok kesetimbangan kimia.Kata kunci: Penilaian kinerja, Pembelajaran berbasis proyek, Hasil belajar, Kesetimbangan kimiaABSTRACTThe research was a quasi-experimental that aimed to know the effect of performance assessment on project based learning model toward students’ achievement of class MS SMA Negeri 3 Lau Maros. The independent variable is performance assessment on project based learning, than the dependent variable was student’s achievement on chemistry equilibrium subject matter. The population was class MS SMA 2 Lau Maros consisted of 198 students spread out on 6 classes. Taking technique of sample was random sampling. The sample of this research consisted of two classes, namely class MS1 as an experiment class with 32 students and class MS3 as a control class with 33 students. The data of the research were gathered by testing the students’ achievement on chemistry equilibrium subject matter for post-test which were analyzed by using U Mann Whitney test. Results of inferential statistical analysis were Zcalculated (2.27) bigger than Ztable (1.64) on α ═ 0.05. Conclude there is effect of performance assessment on project based learning model toward students’ achievement of class MS SMA Negeri 3 Lau Maros on chemical equilibrium subject matter.Keywords: Performance assessment, Project based leaning, Students’ achievement, Chemistry equilibrium
Analysis of the Acceptance of Generative AI Use in Academic Tasks Using the UTAUT Model Nurhikma; Rabiatul Adawiah; Rachmat Hidayat Bachtiar; Rahma Agustini Putri; Rahmadinar Kadir; Rahmat Hidayat
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.2503

Abstract

This study aims to examine students’ acceptance of Generative Artificial Intelligence (AI) in academic tasks using the Unified Theory of Acceptance and Use of Technology (UTAUT). The rapid integration of Generative AI tools in higher education raises important questions regarding the determinants of students’ behavioral intention and actual usage. This study argues that performance-related perceptions are the primary drivers of adoption. Design/methods/approach – A quantitative explanatory design was employed using a survey of 210 undergraduate students who had experience using Generative AI for academic purposes. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Measurement evaluation included outer loadings, Cronbach’s Alpha, Composite Reliability, and Average Variance Extracted (AVE), while structural relationships were tested using bootstrapping with 5000 resamples. Findings – Performance Expectancy significantly influenced Behavioral Intention (β = 0.41, p < 0.001), followed by Effort Expectancy (β = 0.27, p < 0.001) and Social Influence (β = 0.18, p = 0.003). Behavioral Intention strongly affected Use Behavior (β = 0.53, p < 0.001), and Facilitating Conditions also had a significant direct effect (β = 0.29, p < 0.001). The model explained 62% of the variance in Behavioral Intention and 58% in Use Behavior. Research implications/limitations – The study was limited to a single institution and relied on self-reported cross-sectional data, which may restrict generalizability and causal inference. Originality/value – This study extends UTAUT to the context of Generative AI in academic assignments and provides empirical evidence of its predictive power in emerging AI-based educational technologies.