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Jurnal Pendidikan Progresif
Published by Universitas Lampung
ISSN : 20879849     EISSN : 25501313     DOI : https://doi.org/10.23960/jpp
Core Subject : Education,
Education
urnal Pendidikan Progresif is an academic journal that published all the studies in the areas of education, learning, teaching, curriculum development, learning environments, teacher education, educational technology, educational developments from various types of research such as surveys, research & development, experimental research, classroom action research, etc. Jurnal Pendidikan Progresif covers all the educational research at the level of primary, secondary, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Education. Topics of Interest include, but are not limited to, the following Disaster literacy and Risk Management Education Ethnopedagogy-based STEM Education Integrating technology into the curriculum: Challenges & Strategies Collaborative & Interactive Learning Tools for 21st Century learning Learning Analysis Education Management Systems Education Policy and Leadership Business Education Virtual and remote laboratories Pedagogy Enhancement with E-Learning Course Management Systems Teacher Evaluation Curriculum, Research, and Development Web-based tools for education Games and simulations in Education Learning / Teaching Methodologies and Assessment Counselor Education Student Selection Criteria in Interdisciplinary Studies Global Issues in Education and Research Technology Support for Pervasive Learning Artificial Intelligence, Robotics and Human-computer Interaction in Education Mobile/ubiquitous computing in education Web 2.0, Social Networking, Blogs and Wikis Multimedia in Education Educating the educators Professional Development for teachers in ICT
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 1 Documents
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Search results for "Analysis of Deep Learning Approach in Grade 8 Mathematics Textbook on Statistics" : 1 Documents clear
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.

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