Dewi, Rivani Adistia
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Journal : Jurnal Pendidikan Progresif

Analyzing the Mathematical Critical Thinking Skills of High School Students in Arithmetic: A Gender Differences Harahap, Putri Ardhanita; Dewi, Rivani Adistia; Purniati, Tia
Jurnal Pendidikan Progresif Vol 15, No 2 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i2.pp1142-1156

Abstract

Analyzing the Mathematical Critical Thinking Skills of High School Students in Arithmetic: A Gender Differences. Objective: The purpose of this investigation is to evaluate the mathematical critical thinking abilities of senior high school pupils in the field of arithmetic in relation to gender. In particular, it examines the critical thinking patterns of male and female pupils at varying ability levels (high, medium, and low) using four primary indicators: interpretation, analysis, evaluation, and inference. Methods: A qualitative descriptive methodology was implemented. A purposive selection of six tenth-grade students was made from a pool of 31 participants based on the results of an initial critical thinking test. These six pupils represented all three ability categories and both genders. Critical thinking essay assessments, semi-structured interviews, and classroom observations were implemented to accumulate data. The data was analyzed using source triangulation, reduction, and categorization in accordance with Facione's indicators. Findings: The findings indicated that female students exhibited more systematic and circumspect approaches, which led to their success in interpretation and analysis. In contrast, male pupils were more responsive but less meticulous and reflective. In terms of evaluation, the majority of students in all categories did not assess their work, which suggests that they have inadequate metacognitive abilities. Despite the fact that their final answers were accurate, numerous students were unable to articulate explicit conclusions regarding inference. High-ability students exhibited strategic planning and reflective thinking, whereas low-ability students relied on procedural and rote-based methods. Conclusion: The study emphasizes the significance of instructional strategies that are responsive to ability and gender. Integrating mathematical communication, reflection, and explicit training in evaluation and inference are critical components of effective teaching strategies that promote the development of critical thinking. According to the results, female students are more structured and reflective, whereas male students are more evaluative but less quickly. The necessity of instructional designs that are consistent with the unique characteristics of students is suggested by the fact that these differences are influenced by cognitive styles, confidence levels, and learning patterns. Keywords: mathematical critical thinking skills, high school students, gender.
Analysis of Deep Learning Approach in Grade 8 Mathematics Textbook on Statistics Dewi, Rivani Adistia; Juandi, Dadang; Turmudi, Turmudi
Jurnal Pendidikan Progresif Vol 15, No 2 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i2.pp1098-1111

Abstract

Analysis of Deep Learning Approach in Grade 8 Mathematics Textbook on Statistics. The deep learning approach is considered strategic to answer the challenges of 21st century education, especially in developing students' critical and creative thinking skills. This study aims to analyze the extent to which the principles of the deep learning approach are reflected in a grade 8 mathematics textbook, especially in statistics. The method used is content analysis of a grade 8 mathematics textbook from the Merdeka Curriculum, with indicators compiled based on the principles of the deep learning approach from the Ministry of Education and Culture, namely mindful learning, meaningful learning, and joyful learning. This instrument has been validated by experts and tested for reliability through the intra-rater reliability technique. The results showed that 9 out of 15 indicators were met, so the percentage of eligibility was 60%. The book’s strengths lie in its mindful learning and joyful learning aspects, which are reflected in the presentation of concepts with more than one method and not dogmatic, the use of diverse visual and contextual approaches, as well as fun activities and building students' confidence. However, meaningful learning aspects such as integration between subjects and the use of digital technology are still minimal. These findings indicate the need to strengthen the content of the book through the insertion of open-ended questions, collaborative activities, and exploratory projects to realize a full deep learning approach. This study recommends the development of more exploratory, contextual, and transdisciplinary textbooks as learning instruments. Keywords: deep learning, statistics, textbook analysis.