Analysis of students’ quantitative literacy in human coordination system concept

Abstract

<p class="Abstract">This study aimed to measure and analyze students’ quantitative literacy (QL) in human coordination system concept. It involved 76 participants (16-17 years old) from the second grade of senior high school at two national schools in Subang, West Java, Indonesia. These participants consisted of 39 males and 37 female students. Their QL was assessed by four essay tests to examine their QL indicators including interpretation, representation, calculation, and analysis through coordination system in human issue. Their answers were analyzed by a QL rubric according to Association of American Colleges and University (AACU) assessment. QL achievement for each indicator was categorized into four levels. The analysis result showed that students’ interpretation, representation, calculation, and analysis were at level 3, 2, 3, and 1, respectively. Based on data analysis, students’ achievement in calculation, interpretation, and representation were categorized as the milestone (mediocre). Meanwhile, their analysis skill was classified as a benchmark or the lowest QL level.</p>

Construction of structural correlation of quantitative literacy and critical thinking, and factors affecting them in students of pre-service biology teachers

“…This research has not included the influence of other factors on the quantitative literacy and critical thinking of biology education students. Even though the integration of mathematical abilities in the inquiry process in biology learning can form quantitative literacy abilities (Baumgartner et al, 2015), this is in line with the results of research of Harianto et al (2017), Nuraeni et al (2015), and Nuraeni and Rahmat (2019), which shows the integration of mathematics in several biological topics such as data presentation and calculations on reactions in physiology and comparison of anatomical size data of organs in plants. In the learning process, the presentation of data and mathematical calculations can train students' quantitative literacy (Amin et al, 2020;McNeal & Mierson, 1999;Nguyen et al, 2017).…”

Analisis Perbedaan Kemampuan Interpretasi Data Numerasi Mahasiswa Pendidikan Biologi di Kalimantan Selatan Berdasarkan Masa Studi yang Telah Ditempuh

“…Berdasarkan uraian di paragraf sebelumnya, penting untuk mengetahui bagaimana kemampuan interpretasi data numerasi pada mahasiswa Pendidikan biologi, terutama perbedaan antar kelompok mahasiswa berdasarkan masa studi yang telah ditempuh. Hal ini karena proses pembelajaran biologi dapat membantu melatihkan kemampuan tersebut (Harianto et al, 2017). Penting untuk mengetahui kemampuan interpretasi data numerasi mahasiswa calon guru biologi di Kalimantan Selatan.…”

“…Salah satu bagian penting yang harus diperhatikan dari literasi numerasi di perguruan tinggi adalah indikator interpretasi data (Roohr et al, 2014). Pada program studi Pendidikan biologi beberapa mata kuliah memiliki potensi untuk melatihkan literasi numerasi, misalnya fisiologi (Chen et al, 2018;Harianto et al, 2017). Penyelidikan pada praktikum juga membantu untuk melatihkan literasi numerasi karena ada proses representasi data dan analisis data yang harus dilakukan oleh mahasiswa (Rahmawati et al, 2021).…”

Analisis dan Rekonstruksi Kegiatan Laboratorium Alternatif: Meningkatkan Keterampilan Literasi Kuantitatif melalui Praktikum Ingenhousz

“…Komponen Interpretasi adalah kegiatan bernalar. Yakni peserta didik dapat membaca grafik, menggambarkan kesimpulan dan menganalisis sumber kesalahan yang dilakukan (Harianto et al, 2017). Kegiatan interpretasi pada desain kegiatan laboratorium yang dikembangakan meliputi kegiatan membandingkan data laju fotosintesis dengan berat Hydrilla verticilata yang berbeda-beda, kemudian membuat gambaran tentang hubungan dari grafik hasil pengmatan.…”