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Research Trends in the Use of Automated Writing Evaluation Tools Wulandari, Kurnia
Lingua Pedagogia Vol 6, No 1 (2024): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/lingped.v6i1.76507

Abstract

This systematic review aimed to present a systematic summary of the trends and use of Automated Writing Evaluation (AWE) tools, particularly in teaching writing skills in the university context. Research articles were collected from three different databases, namely Eric, Taylor Francis, and Scopus. After being reviewed based on selected inclusion and exclusion criteria, 21 studies out of 76 collected articles were then further examined. The findings of this study showed that the use of AWE tools increased from 2020 to 2022.  In addition, the majority of studies were conducted in China where English is learned as a second or foreign language. Then, most of the reviewed studies were developed based on the quantitative research design. Meanwhile, regarding the AWE tools, Pigai was found to be dominantly used by students, and the second most commonly used tools were Grammarly and Criterion.  At last, based on this systematic review, AWE tools were frequently used to help students to write essays.  
Pengaruh Kemandirian Belajar Terhadap Hasil Belajar Matematika Di SDN 2 Singocandi Fazriani, Hesty Nur; Wulandari, Kurnia; Frasida, Sofa Amalia
Jurnal Padegogik Vol 7 No 2 (2024): Jurnal Padegogik, Juli 2024
Publisher : LPPM Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35974/jpd.v7i2.3389

Abstract

This study aims to identify the influence and how much influence between learning independence on student math learning outcomes. This type of research uses quantitative research and the analysis technique used is simple linear regression. The population in this study were 6th grade students at SDN 2 Singocandi with a sample of 23 students. The instrument used is that the researcher makes a questionnaire for student learning independence data, and gives test questions to measure student learning outcomes. The results of the analysis show that the average score is greater than the standard which indicates that the distribution of the data variables is small or there is no considerable gap from the lowest and highest ROA ratios. After the data was collected, a simple linear regression test was carried out with the prerequisites of normality test and linearity test between the variables of learning independence and students' math learning outcomes. The results of this study indicate the effect of learning independence on student learning outcomes by 88.5%. So it can be concluded that learning independence has a positive and significant influence on student math learning outcomes. The higher the learning independence, the higher the math learning outcomes.