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Problem-based learning: Making caricature as teaching material based on folklore "Sang Piatu" for Indonesian language learning Muktadir, Abdul; Susanti, Atika; Darmansyah, Ady; Febrina, Wulan; Irmayanti, Meiselina
LITERA Vol. 23 No. 2: LITERA (JULY 2024)
Publisher : Faculty of Languages, Arts, and Culture Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/ltr.v23i2.72541

Abstract

Understanding the materials and keeping motivated are challenges for elementary students in learning the Indonesian language. It happened due to a lack of learning resources. Previous studies mentioned that local learning resources can stimulate students' comprehension, specially forming colorful visualization. Therefore, the present research observes how to develop teaching material of caricatures adopted from the folklore "Sang Piatu," by employing problem-based learning (PBL). The current research aims to boost students' interest in learning, improve students' material comprehension of Indonesian language learning, and foster cultural awareness. The research method employed is Research and Development using the ADDIE model. This research contributes significantly to developing Indonesian language teaching materials at the elementary school level. The result demonstrates the approach's effectiveness in stimulating learning interest and improving students' understanding of the material, including increasing cultural awareness. Future studies could explore the potential of other folk stories from Indonesia. The upcoming studies could also integrate application technology to enhance student engagement in the era of Society 5.0.
Problem-Based Learning Materials Integrated with Differentiated Approaches to Enhance Elementary School Students' Learning Outcomes Agusdianita, Neza; Danim, Sudarwan; Susanta, Agus; Yusnia, Y.; Izzania, Rizqa Dwi Shofiya Maghfira; Irmayanti, Meiselina
Profesi Pendidikan Dasar Vol. 11, No. 2, August 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ppd.v11i2.6441

Abstract

The demands of the 21st century have reshaped the educational landscape, particularly in mathematics, requiring students to acquire relevant competencies. However, many elementary students find abstract mathematical concepts challenging, highlighting the need for effective instructional materials. This study employed a Research and Development (R&D) approach using the ADDIE model. Data were collected through questionnaires and multiple-choice tests, and the analysis was conducted using descriptive statistics and inferential analysis. Instructional materials integrating Problem-Based Learning (PBL) with a differentiated approach were designed and evaluated for validity, practicality, and effectiveness in teaching the perimeter and area of squares and rectangles to fifth-grade elementary students. Teacher and student feedback indicated that the materials were highly practical, and no significant obstacles were encountered. The analysis of student learning outcomes showed a significant improvement in mathematics achievement. These results imply that differentiated PBL materials can enhance students' learning experiences and outcomes, providing a viable solution for addressing individual learning needs in mathematics education. By providing relevant and tailored materials, educators can more effectively address abstract learning challenges and meet the demands of 21st-century competencies.
Clustering Of Informatics Students Based On Understanding The Material Using The K-Means Method Irmayanti, Meiselina; Prasetyo, Naufal Ibra; Bria, Dionisia Kasilda; Paratu, Jeki Bani; Hanfiro, Pauline
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 2 (2024): June
Publisher : Lumina Infinity Academy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The level of student understanding in coursework is a crucial determinant of academic success, reflecting both teaching quality and the effectiveness of applied learning methods. In the context of Informatics, challenges often stem from the complexity of subjects such as algorithms, programming, and data analysis, which require analytical and in-depth comprehension. However, differences in learning abilities, backgrounds, and styles often result in varying levels of understanding among students. This study investigates the application of k-means clustering as an innovative method to analyze academic data and classify students based on their understanding of course materials. By utilizing data such as exam scores, quiz results, and classroom engagement, k-means clustering identifies patterns in students’ comprehension levels, offering educators insights to tailor teaching strategies effectively. The findings of this study are expected to aid educators in designing targeted interventions, enhance learning processes, and support an inclusive and effective academic environment.